清空筛选条件
清空筛选条件

Finding multiple Matrix in a txt file

46 次查看（过去 30 天）
Carl Magnus
Carl Magnus 2024-8-12，13:42
编辑： Stephen23 2024-8-14，5:29
I want to do radiobiological calculations for structures in a patient with two different plans. I have a txt file with all the data in it. The txt file contains among other things the biological structure (which exists in both plans), the biological data in two columns and two rows that specifies what plan and what structure it is.
I know how to code the math to do the calculations, but how do I most easy read the text file and store each plans column in like a matrix?
For example (in my own dumb coding brain) I would like matlab to "Search a txt file that has a certain name that the user can specify. For a specific organ like the bladder, put the data in a variable called something like "Bladder Plan 1" and "Bladder Plan 2". Do math. Do same for all other organs. Put result in a report. Save as pdf or file". I hope that the wonderful Matlab community can help me, since I am no Matrix wizard with coding.
For all patients the structures all have the same naming convention, so I guess I could specify somewhere/somehow what organs should be searched for in the text file and what I would like the variable to be called, so that the search in the text file could go quick.
If anyone has any tips and suggestions that would be great. I have attached an anonymized txt file of how it could look like.
  1 个评论
dpb
dpb 2024-8-12，15:06
It will take a fair amount of parsing the file -- probably by searching for keywords because it appears the length of the file(s) may be different given that the Comment and Description fields almost certainly can't be assumed to always have the same number of lines so fixed lines for a given variable won't work.
That's not too bad, but it does mean having a dictionary of the things you need to locate stored somewhere; either as constants in the code or as a data file that you read in and use.
Do NOT try to go down the route of trying to name variables; that leads to very difficult-to-write (and even harder to debug) inefficient and slow code. Instead, use struct field names that are able to be coded programmatically. See <Structures>, particularly relevant will be the section on field names from variables.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（2 个）

Stephen23
Stephen23 2024-8-14，5:05
编辑：Stephen23 2024-8-14，5:29
Ran in:
"For example (in my own dumb coding brain) I would like matlab to "Search a txt file that has a certain name that the user can specify. For a specific organ like the bladder, put the data in a variable called something like "Bladder Plan 1" and "Bladder Plan 2"."
Rather than "searching" a file for particular content I would convert the entire file content in one go. "Searching" in a table is likely going to be simpler and more efficient:
txt = fileread('Breast.txt');
tkn = regexp(txt,'(Structure:.*(\s+.+:.*)+)\s*:\s+(.+\])\s*(.+\])(\s+\S*\d\S*)+','tokens','dotexceptnewline');
tkn = vertcat(tkn{:});
hdr = regexp(tkn(:,1),'(\S.+):(.*)','tokens','dotexceptnewline');
out = hdr;
for k = 1:numel(hdr)
% header
tmp = strtrim(hdr{k});
tmp = vertcat(tmp{:});
vec = str2double(tmp(:,2));
idx = ~isnan(vec);
tmp(idx,2) = num2cell(vec(idx));
hdr{k} = cell2table(tmp(:,2).', 'VariableNames',tmp(:,1));
% matrix
mat = sscanf(tkn{k,end},'%f',[2,Inf]).';
out{k} = array2table(mat, 'VariableNames',tkn(k,2:3));
end
hdr = vertcat(hdr{:}) % all headers in one table:
hdr = 36x21 table
Structure Approval Status Plan Course Volume [cm³] Dose Cover.[%] Sampling Cover.[%] Min Dose [Gy] Max Dose [Gy] Mean Dose [Gy] Modal Dose [Gy] Median Dose [Gy] STD [Gy] Equiv. Sphere Diam. [cm] Conformity Index Gradient Measure [cm] Dose Level [Gy] RTOG CI Paddick CI GI ICRU83 HI _____________________ _______________ _____________ ____________________ ____________ ______________ __________________ _____________ _____________ ______________ _______________ ________________ ________ ________________________ ________________ _____________________ _______________ __________ __________ __________ __________ {'A_CoronaryD_L' } {'Unapproved'} {'Vmat' } {'rond_C1' } 6.6 100 100.3 1.736 10.735 5.124 4.869 5.11 1.447 2.3 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'A_CoronaryD_L' } {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 6.5 100 100.4 0 4.839 0.685 0 0.428 0.679 2.3 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'BODY' } {'Unapproved'} {'Vmat' } {'rond_C1' } 45131 100 100.1 0 45.295 8.095 0.003 1.853 11.701 44.2 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTVN_L_40.05(IMN)'} {'Unapproved'} {'Vmat' } {'rond_C1' } 5.9 100 100.3 39.708 41.739 40.765 40.878 40.786 0.315 2.2 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTVN_L_40.05(IMN)'} {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 6.2 100 100 38.778 42.116 40.314 40.434 40.318 0.443 2.3 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTVN_R_40.05(IMN)'} {'Unapproved'} {'Vmat' } {'rond_C1' } 5.4 100 100.1 39.253 41.769 40.602 40.886 40.64 0.395 2.2 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTVN_R_40.05(IMN)'} {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 6 100 100.3 39.041 42.338 40.609 40.601 40.619 0.476 2.3 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTV_L_40.05' } {'Unapproved'} {'Vmat' } {'rond_C1' } 782.3 100 100 36.233 43.285 40.511 40.644 40.555 0.869 11.4 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTV_L_40.05' } {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 846.2 100 100 38.468 43.193 40.133 40.218 40.113 0.387 11.7 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTV_R_40.05' } {'Unapproved'} {'Vmat' } {'rond_C1' } 560.1 100 100 36.383 43.402 40.56 40.531 40.559 0.831 10.2 {[2.4000]} {[4.9400]} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'CTV_R_40.05' } {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 625.5 100 100 38.33 42.62 40.11 39.996 40.058 0.442 10.6 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'Heart' } {'Unapproved'} {'Vmat' } {'rond_C1' } 681.7 100 100 0.846 29.017 3.628 2.132 2.965 2.594 10.9 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'Heart' } {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 707.5 100 100 0 30.037 0.519 0.003 0.013 1.896 11.1 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'Lung_L' } {'Unapproved'} {'Vmat' } {'rond_C1' } 2088.9 100 100 0.174 41.063 11.24 0.698 8.091 9.888 15.9 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'Lung_L' } {'Approved' } {'P1+P2_RBE'} {'C1_bilat mam_DIB'} 2027.1 100 100.1 0 41.979 5.576 0.003 0.626 9.3 15.7 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char} {'Lung_R' } {'Unapproved'} {'Vmat' } {'rond_C1' } 2640.2 100 100 0.185 41.215 11.78 0.617 8.192 10.089 17.1 {'N/A' } {'N/A' } {0x0 char} {0x0 char} {0x0 char} {0x0 char} {0x0 char}
Check data matrices:
out{1} % 1st matrix
ans = 453x2 table
Dose [Gy] dVolume / dDose [cm³ / Gy] _________ __________________________ 0.05 0 0.15 0 0.25 0 0.35 0 0.45 0 0.55 0 0.65 0 0.75 0 0.85 0 0.95 0 1.05 0 1.15 0 1.25 0 1.35 0 1.45 0 1.55 0
out % all matrices
out = 36x1 cell array
{453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table} {453x2 table}
Star Strider
Star Strider 2024-8-12，15:20
编辑：Star Strider 2024-8-12，23:25
Ran in:
This works. It is not as elegant as I would like, however I cannot imagine any other way to parse this file.
The variable names are some subset of ‘Dose [Gy] dVolume / dDose [cm² / Gy]’ however I cannot figure out how to parse that into two variable names for the ‘Tseg’ tables.
Try this —
T = fileread('Breast.txt')
T =
'Patient Name : Patient ID : Comment : DVHs for multiple plans and plan sums Date : den 16 maj 2024 07:29:00 Exported by : Type : Differential Dose Volume Histogram Description : The differential DVH displays the share of the total volume in structures receiving a given dose as a function of equivalent dose intervals. In the data, below, dose values correspond to the center of the dose interval. Plan: Vmat Course: rond_C1 Plan Status: Unapproved Total dose [Gy]: 40.050 % for dose (%): 100.0 Plan: P1+P2_RBE Course: C1_bilat mam_DIB Total dose [Gy]: not defined % for dose (%): not defined Structure: A_CoronaryD_L Approval Status: Unapproved Plan: Vmat Course: rond_C1 Volume [cm³]: 6.6 Dose Cover.[%]: 100.0 Sampling Cover.[%]: 100.3 Min Dose [Gy]: 1.736 Max Dose [Gy]: 10.735 Mean Dose [Gy]: 5.124 Modal Dose [Gy]: 4.869 Median Dose [Gy]: 5.110 STD [Gy]: 1.447 Equiv. Sphere Diam. [cm]: 2.3 Conformity Index: N/A Gradient Measure [cm]: N/A Dose Level [Gy]: RTOG CI: Paddick CI: GI: ICRU83 HI: : Dose [Gy] dVolume / dDose [cm³ / Gy] 0.05 0 0.15 0 0.25 0 0.35 0 0.45 0 0.55 0 0.65 0 0.75 0 0.85 0 0.95 0 1.05 0 1.15 0 1.25 0 1.35 0 1.45 0 1.55 0 1.65 0 1.75 0.0861798 1.85 0.465635 1.95 0.550159 2.05 0.544077 2.15 0.561427 2.25 0.617491 2.35 0.63141 2.45 0.635322 2.55 0.615348 2.65 0.55521 2.75 0.483779 2.85 0.438797 2.95 0.411087 3.05 0.400214 3.15 0.37796 3.25 0.358385 3.35 0.357727 3.45 0.370298 3.55 0.354021 3.65 0.379619 3.75 0.48093 3.85 0.531724 3.95 0.671821 4.05 0.768688 4.15 0.919559 4.25 1.19435 4.35 1.41947 4.45 1.65157 4.55 2.04031 4.65 2.4742 4.75 2.84074 4.85 2.8949 4.95 2.86848 5.05 2.78999 5.15 2.67086 5.25 2.51053 5.35 2.3845 5.45 2.20764 5.55 2.04455 5.65 1.91436 5.75 1.77475 5.85 1.64265 5.95 1.52508 6.05 1.40636 6.15 1.31226 6.25 1.20636 6.35 1.10553 6.45 0.989644 6.55 0.869578 6.65 0.750781 6.75 0.641856 6.85 0.556755 6.95 0.503714 7.05 0.447261 7.15 0.397325 7.25 0.348075 7.35 0.313082 7.45 0.283522 7.55 0.253657 7.65 0.230688 7.75 0.217573 7.85 0.206108 7.95 0.194063 8.05 0.186259 8.15 0.173471 8.25 0.160599 8.35 0.156718 8.45 0.148891 8.55 0.13556 8.65 0.132536 8.75 0.127561 8.85 0.1183 8.95 0.11209 9.05 0.105477 9.15 0.0980061 9.25 0.0911941 9.35 0.0850189 9.45 0.0789499 9.55 0.0726154 9.65 0.0687743 9.75 0.062063 9.85 0.0546277 9.95 0.0480552 10.05 0.0373432 10.15 0.035005 10.25 0.0349497 10.35 0.0270463 10.45 0.0164008 10.55 0.012698 10.65 0.00751557 10.75 0.000742578 10.85 0 10.95 0 11.05 0 11.15 0 11.25 0 11.35 0 11.45 0 11.55 0 11.65 0 11.75 0 11.85 0 11.95 0 12.05 0 12.15 0 12.25 0 12.35 0 12.45 0 12.55 0 12.65 0 12.75 0 12.85 0 12.95 0 13.05 0 13.15 0 13.25 0 13.35 0 13.45 0 13.55 0 13.65 0 13.75 0 13.85 0 13.95 0 14.05 0 14.15 0 14.25 0 14.35 0 14.45 0 14.55 0 14.65 0 14.75 0 14.85 0 14.95 0 15.05 0 15.15 0 15.25 0 15.35 0 15.45 0 15.55 0 15.65 0 15.75 0 15.85 0 15.95 0 16.05 0 16.15 0 16.25 0 16.35 0 16.45 0 16.55 0 16.65 0 16.75 0 16.85 0 16.95 0 17.05 0 17.15 0 17.25 0 17.35 0 17.45 0 17.55 0 17.65 0 17.75 0 17.85 0 17.95 0 18.05 0 18.15 0 18.25 0 18.35 0 18.45 0 18.55 0 18.65 0 18.75 0 18.85 0 18.95 0 19.05 0 19.15 0 19.25 0 19.35 0 19.45 0 19.55 0 19.65 0 19.75 0 19.85 0 19.95 0 20.05 0 20.15 0 20.25 0 20.35 0 20.45 0 20.55 0 20.65 0 20.75 0 20.85 0 20.95 0 21.05 0 21.15 0 21.25 0 21.35 0 21.45 0 21.55 0 21.65 0 21.75 0 21.85 0 21.95 0 22.05 0 22.15 0 22.25 0 22.35 0 22.45 0 22.55 0 22.65 0 22.75 0 22.85 0 22.95 0 23.05 0 23.15 0 23.25 0 23.35 0 23.45 0 23.55 0 23.65 0 23.75 0 23.85 0 23.95 0 24.05 0 24.15 0 24.25 0 24.35 0 24.45 0 24.55 0 24.65 0 24.75 0 24.85 0 24.95 0 25.05 0 25.15 0 25.25 0 25.35 0 25.45 0 25.55 0 25.65 0 25.75 0 25.85 0 25.95 0 26.05 0 26.15 0 26.25 0 26.35 0 26.45 0 26.55 0 26.65 0 26.75 0 26.85 0 26.95 0 27.05 0 27.15 0 27.25 0 27.35 0 27.45 0 27.55 0 27.65 0 27.75 0 27.85 0 27.95 0 28.05 0 28.15 0 28.25 0 28.35 0 28.45 0 28.55 0 28.65 0 28.75 0 28.85 0 28.95 0 29.05 0 29.15 0 29.25 0 29.35 0 29.45 0 29.55 0 29.65 0 29.75 0 29.85 0 29.95 0 30.05 0 30.15 0 30.25 0 30.35 0 30.45 0 30.55 0 30.65 0 30.75 0 30.85 0 30.95 0 31.05 0 31.15 0 31.25 0 31.35 0 31.45 0 31.55 0 31.65 0 31.75 0 31.85 0 31.95 0 32.05 0 32.15 0 32.25 0 32.35 0 32.45 0 32.55 0 32.65 0 32.75 0 32.85 0 32.95 0 33.05 0 33.15 0 33.25 0 33.35 0 33.45 0 33.55 0 33.65 0 33.75 0 33.85 0 33.95 0 34.05 0 34.15 0 34.25 0 34.35 0 34.45 0 34.55 0 34.65 0 34.75 0 34.85 0 34.95 0 35.05 0 35.15 0 35.25 0 35.35 0 35.45 0 35.55 0 35.65 0 35.75 0 35.85 0 35.95 0 36.05 0 36.15 0 36.25 0 36.35 0 36.45 0 36.55 0 36.65 0 36.75 0 36.85 0 36.95 0 37.05 0 37.15 0 37.25 0 37.35 0 37.45 0 37.55 0 37.65 0 37.75 0 37.85 0 37.95 0 38.05 0 38.15 0 38.25 0 38.35 0 38.45 0 38.55 0 38.65 0 38.75 0 38.85 0 38.95 0 39.05 0 39.15 0 39.25 0 39.35 0 39.45 0 39.55 0 39.65 0 39.75 0 39.85 0 39.95 0 40.05 0 40.15 0 40.25 0 40.35 0 40.45 0 40.55 0 40.65 0 40.75 0 40.85 0 40.95 0 41.05 0 41.15 0 41.25 0 41.35 0 41.45 0 41.55 0 41.65 0 41.75 0 41.85 0 41.95 0 42.05 0 42.15 0 42.25 0 42.35 0 42.45 0 42.55 0 42.65 0 42.75 0 42.85 0 42.95 0 43.05 0 43.15 0 43.25 0 43.35 0 43.45 0 43.55 0 43.65 0 43.75 0 43.85 0 43.95 0 44.05 0 44.15 0 44.25 0 44.35 0 44.45 0 44.55 0 44.65 0 44.75 0 44.85 0 44.95 0 45.05 0 45.15 0 45.25 0 Structure: A_CoronaryD_L Approval Status: Approved Plan: P1+P2_RBE Course: C1_bilat mam_DIB Volume [cm³]: 6.5 Dose Cover.[%]: 100.0 Sampling Cover.[%]: 100.4 Min Dose [Gy]: 0.000 Max Dose [Gy]: 4.839 Mean Dose [Gy]: 0.685 Modal Dose [Gy]: 0.000 Median Dose [Gy]: 0.428 STD [Gy]: 0.679 Equiv. Sphere Diam. [cm]: 2.3 Conformity Index: N/A Gradient Measure [cm]: N/A Dose Level [Gy]: RTOG CI: Paddick CI: GI: ICRU83 HI: : Dose [Gy] dVolume / dDose [cm³ / Gy] 0.05 5.3027 0.15 13.7292 0.25 7.32877 0.35 5.05245 0.45 3.99588 0.55 3.3434 0.65 2.93004 0.75 2.67848 0.85 2.42425 0.95 2.19167 1.05 1.97434 1.15 1.75324 1.25 1.54522 1.35 1.37743 1.45 1.24824 1.55 1.12533 1.65 1.01212 1.75 0.904599 1.85 0.81329 1.95 0.71735 2.05 0.627117 2.15 0.547504 2.25 0.458907 2.35 0.38816 2.45 0.304956 2.55 0.225332 2.65 0.173182 2.75 0.147484 2.85 0.133272 2.95 0.119316 3.05 0.104506 3.15 0.0897381 3.25 0.0777857 3.35 0.0600303 3.45 0.0483636 3.55 0.0395156 3.65 0.0364912 3.75 0.0340332 3.85 0.0277462 3.95 0.0253256 4.05 0.0234901 4.15 0.0193115 4.25 0.0162297 4.35 0.0124033 4.45 0.00993299 4.55 0.00587573 4.65 0.00157145 4.75 0.00130897 4.85 0.000511667 4.95 0 5.05 0 5.15 0 5.25 0 5.35 0 5.45 0 5.55 0 5.65 0 5.75 0 5.85 0 5.95 0 6.05 0 6.15 0 6.25 0 6.35 0 6.45 0 6.55 0 6.65 0 6.75 0 6.85 0 6.95 0 7.05 0 7.15 0 7.25 0 7.35 0 7.45 0 7.55 0 7.65 0 7.75 0 7.85 0 7.95 0 8.05 0 8.15 0 8.25 0 8.35 0 8.45 0 8.55 0 8.65 0 8.75 0 8.85 0 8.95 0 9.05 0 9.15 0 9.25 0 9.35 0 9.45 0 9.55 0 9.65 0 9.75 0 9.85 0 9.95 0 10.05 0 10.15 0 10.25 0 10.35 0 10.45 0 10.55 0 10.65 0 10.75 0 10.85 0 10.95 0 11.05 0 11.15 0 11.25 0 11.35 0 11.45 0 11.55 0 11.65 0 11.75 0 11.85 0 11.95 0 12.05 0 12.15 0 12.25 0 12.35 0 12.45 0 12.55 0 12.65 0 12.75 0 12.85 0 12.95 0 13.05 0 13.15 0 13.25 0 13.35 0 13.45 0 13.55 0 13.65 0 13.75 0 13.85 0 13.95 0 14.05 0 14.15 0 14.25 0 14.35 0 14.45 0 14.55 0 14.65 0 14.75 0 14.85 0 14.95 0 15.05 0 15.15 0 15.25 0 15.35 0 15.45 0 15.55 0 15.65 0 15.75 0 15.85 0 15.95 0 16.05 0 16.15 0 16.25 0 16.35 0 16.45 0 16.55 0 16.65 0 16.75 0 16.85 0 16.95 0 17.05 0 17.15 0 17.25 0 17.35 0 17.45 0 17.55 0 17.65 0 17.75 0 17.85 0 17.95 0 18.05 0 18.15 0 18.25 0 18.35 0 18.45 0 18.55 0 18.65 0 18.75 0 18.85 0 18.95 0 19.05 0 19.15 0 19.25 0 19.35 0 19.45 0 19.55 0 19.65 0 19.75 0 19.85 0 19.95 0 20.05 0 20.15 0 20.25 0 20.35 0 20.45 0 20.55 0 20.65 0 20.75 0 20.85 0 20.95 0 21.05 0 21.15 0 21.25 0 21.35 0 21.45 0 21.55 0 21.65 0 21.75 0 21.85 0 21.95 0 22.05 0 22.15 0 22.25 0 22.35 0 22.45 0 22.55 0 22.65 0 22.75 0 22.85 0 22.95 0 23.05 0 23.15 0 23.25 0 23.35 0 23.45 0 23.55 0 23.65 0 23.75 0 23.85 0 23.95 0 24.05 0 24.15 0 24.25 0 24.35 0 24.45 0 24.55 0 24.65 0 24.75 0 24.85 0 24.95 0 25.05 0 25.15 0 25.25 0 25.35 0 25.45 0 25.55 0 25.65 0 25.75 0 25.85 0 25.95 0 26.05 0 26.15 0 26.25 0 26.35 0 26.45 0 26.55 0 26.65 0 26.75 0 26.85 0 26.95 0 27.05 0 27.15 0 27.25 0 27.35 0 27.45 0 27.55 0 27.65 0 27.75 0 27.85 0 27.95 0 28.05 0 28.15 0 28.25 0 28.35 0 28.45 0 28.55 0 28.65 0 28.75 0 28.85 0 28.95 0 29.05 0 29.15 0 29.25 0 29.35 0 29.45 0 29.55 0 29.65 0 29.75 0 29.85 0 29.95 0 30.05 0 30.15 0 30.25 0 30.35 0 30.45 0 30.55 0 30.65 0 30.75 0 30.85 0 30.95 0 31.05 0 31.15 0 31.25 0 31.35 0 31.45 0 31.55 0 31.65 0 31.75 0 31.85 0 31.95 0 32.05 0 32.15 0 32.25 0 32.35 0 32.45 0 32.55 0 32.65 0 32.75 0 32.85 0 32.95 0 33.05 0 33.15 0 33.25 0 33.35 0 33.45 0 33.55 0 33.65 0 33.75 0 33.85 0 33.95 0 34.05 0 34.15 0 34.25 0 34.35 0 34.45 0 34.55 0 34.65 0 34.75 0 34.85 0 34.95 0 35.05 0 35.15 0 35.25 0 35.35 0 35.45 0 35.55 0 35.65 0 35.75 0 35.85 0 35.95 0 36.05 0 36.15 0 36.25 0 36.35 0 36.45 0 36.55 0 36.65 0 36.75 0 36.85 0 36.95 0 37.05 0 37.15 0 37.25 0 37.35 0 37.45 0 37.55 0 37.65 0 37.75 0 37.85 0 37.95 0 38.05 0 38.15 0 38.25 0 38.35 0 38.45 0 38.55 0 38.65 0 38.75 0 38.85 0 38.95 0 39.05 0 39.15 0 39.25 0 39.35 0 39.45 0 39.55 0 39.65 0 39.75 0 39.85 0 39.95 0 40.05 0 40.15 0 40.25 0 40.35 0 40.45 0 40.55 0 40.65 0 40.75 0 40.85 0 40.95 0 41.05 0 41.15 0 41.25 0 41.35 0 41.45 0 41.55 0 41.65 0 41.75 0 41.85 0 41.95 0 42.05 0 42.15 0 42.25 0 42.35 0 42.45 0 42.55 0 42.65 0 42.75 0 42.85 0 42.95 0 43.05 0 43.15 0 43.25 0 43.35 0 43.45 0 43.55 0 43.65 0 43.75 0 43.85 0 43.95 0 44.05 0 44.15 0 44.25 0 44.35 0 44.45 0 44.55 0 44.65 0 44.75 0 44.85 0 44.95 0 45.05 0 45.15 0 45.25 0 Structure: BODY Approval Status: Unapproved Plan: Vmat Course: rond_C1 Volume [cm³]: 45131.3 Dose Cover.[%]: 100.0 Sampling Cover.[%]: 100.1 Min Dose [Gy]: 0.000 Max Dose [Gy]: 45.295 Mean Dose [Gy]: 8.095 Modal Dose [Gy]: 0.003 Median Dose [Gy]: 1.853 STD [Gy]: 11.701 Equiv. Sphere Diam. [cm]: 44.2 Conformity Index: N/A Gradient Measure [cm]: N/A Dose Level [Gy]: RTOG CI: Paddick CI: GI: ICRU83 HI: : Dose [Gy] dVolume / dDose [cm³ / Gy] 0.05 95135.7 0.15 24389.4 0.25 15028.5 0.35 11880.8 0.45 10229.5 0.55 8881.7 0.65 7667.19 0.75 6765.12 0.85 6276.4 0.95 5877.97 1.05 5403.81 1.15 4958.13 1.25 4528.78 1.35 4121.92 1.45 3735.41 1.55 3390.64 1.65 3097.2 1.75 2859.71 1.85 2647.92 1.95 2464.63 2.05 2305.66 2.15 2165.2 2.25 2050.3 2.35 1957.91 2.45 1866.44 2.55 1775.91 2.65 1700.67 2.75 1642.45 2.85 1581.17 2.95 1537.73 3.05 1485.89 3.15 1455.49 3.25 1448.81 3.35 1437.93 3.45 1442.96 3.55 1462.6 3.65 1478.76 3.75 1507.14 3.85 1525.78 3.95 1575.44 4.05 1577.03 4.15 1596.99 4.25 1628.32 4.35 1613.57 4.45 1580.2 4.55 1551.25 4.65 1528.12 4.75 1517.44 4.85 1470.88 4.95 1446.2 5.05 1424.06 5.15 1395.96 5.25 1352.18 5.35 1323.96 5.45 1302.94 5.55 1282.26 5.65 1265.41 5.75 1248.31 5.85 1207.75 5.95 1174.64 6.05 1151.26 6.15 1132.52 6.25 1121.84 6.35 1109.26 6.45 1092.53 6.55 1076.74 6.65 1074.42 6.75 1071.21 6.85 1055.48 6.95 1029.94 7.05 1006.02 7.15 981.008 7.25 954.385 7.35 925.42 7.45 908.224 7.55 892.844 7.65 886.241 7.75 876.428 7.85 867.068 7.95 854.604 8.05 847.92 8.15 835.553 8.25 827.758 8.35 814.573 8.45 806.189 8.55 800.804 8.65 796.585 8.75 793.011 8.85 789.874 8.95 787.718 9.05 781.502 9.15 776.362 9.25 773.99 9.35 766.745 9.45 759.659 9.55 748.747 9.65 737.107 9.75 727.984 9.85 721.967 9.95 714.036 10.05 708.209 10.15 703.593 10.25 699.395 10.35 693.915 10.45 688.738 10.55 683.412 10.65 679.984 10.75 675.645 10.85 672.385 10.95 665.984 11.05 662.374 11.15 658.676 11.25 654.678 11.35 650.634 11.45 646.857 11.55 646.359 11.65 640.183 11.75 637.876 11.85 636.528 11.95 635.856 12.05 635.08 12.15 630.864 12.25 629.797 12.35 627.834 12.45 625.968 12.55 620.948 12.65 615.927 12.75 614.228 12.85 615.447 12.95 611.175 13.05 609.901 13.15 611.693 13.25 609.874 13.35 604.156 13.45 603.136 13.55 601.394 13.65 601.602 13.75 599.649 13.85 595.249 13.95 593.983 14.05 592.704 14.15 591.373 14.25 586.189 14.35 582.185 14.45 579.191 14.55 580.376 14.65 577.381 14.75 575.59 14.85 573.776 14.95 571.499 15.05 569.6 15.15 565.986 15.25 563.931 15.35 558.743 15.45 556.728 15.55 555.643 15.65 554.309 15.75 553.168 15.85 551.022 15.95 546.938 16.05 544.336 16.15 540.889 16.25 536.513 16.35 535.682 16.45 540.967 16.55 534.954 16.65 526.631 16.75 516.546 16.85 510.042 16.95 503.792 17.05 497.88 17.15 492.108 17.25 491.953 17.35 485.383 17.45 481.454 17.55 476.241 17.65 474.916 17.75 470.46 17.85 468.714 17.95 462.263 18.05 461.093 18.15 456.617 18.25 452.256 18.35 452.58 18.45 449.956 18.55 444.869 18.65 443.082 18.75 439.593 18.85 439.526 18.95 436.532 19.05 432.867 19.15 432.314 19.25 427.797 19.35 423.128 19.45 419.93 19.55 415.952 19.65 413.55 19.75 409.875 19.85 406.199 19.95 404.733 20.05 397.464 20.15 395.001 20.25 391.002 20.35 387.428 20.45 383.47 20.55 379.618 20.65 374.135 20.75 370.249 20.85 365.34 20.95 365.003 21.05 361.515 21.15 356.53 21.25 353.668 21.35 351.671 21.45 349.681 21.55 346.956 21.65 343.95 21.75 337.88 21.85 335.811 21.95 332.269 22.05 328.623 22.15 325.65 22.25 322.51 22.35 317.674 22.45 314.14 22.55 311.444 22.65 309.257 22.75 305.023 22.85 303.219 22.95 300.414 23.05 296.209 23.15 293.621 23.25 292.113 23.35 286.796 23.45 284.56 23.55 282.362 23.65 278.627 23.75 274.881 23.85 272.632 23.95 269.797 24.05 268.184 24.15 266.379 24.25 264.369 24.35 262.168 24.45 258.92 24.55 256.559 24.65 255.83 24.75 254.194 24.85 253.596 24.95 251.661 25.05 250.503 25.15 250.725 25.25 250.911 25.35 249.485 25.45 249.087 25.55 250.179 25.65 249.728 25.75 246.346 25.85 242.761 25.95 242.129 26.05 242.563 26.15 240.767 26.25 241.547 26.35 240.35 26.45 239.131 26.55 237.512 26.65 236.905 26.75 236.037 26.85 234.16 26.95 233.562 27.05 232.103 27.15 231.799 27.25 231.914 27.35 229.356 27.45 228.049 27.55 226.709 27.65 223.712 27.75 223.683 27.85 221.412 27.95 221.028 28.05 218.196 28.15 216.708 28.25 215.143 28.35 213.798 28.45 212.661 28.55 211.025 28.65 210.664 28.75 209.818 28.85 209.41 28.95 207.663 29.05 205.148 29.15 204.36 29.25 203.682 29.35 201.822 29.45 201.547 29.55 200.979 29.65 198.823 29.75 199.669 29.85 199.652 29.95 198.295 30.05 196.932 30.15 197.389 30.25 197.228 30.35 197.779 30.45 197.348 30.55 198.382 30.65 198.439 30.75 199.146 30.85 200.741 30.95 201.831 31.05 205.021 31.15 205.335 31.25 204.529 31.35 204.633 31.45 204.687 31.55 204.277 31.65 202.535 31.75 201.528 31.85 202.469 31.95 201.845 32.05 200.473 32.15 199.873 32.25 199.917 32.35 199.822 32.45 200.588 32.55 201.967 32.65 202.81 32.75 204.239 32.85 204.628 32.95 204.683 33.05 205.876 33.15 207.368 33.25 209.721 33.35 211.025 33.45 211.309 33.55 213.015 33.65 216.58 33.75 218.602 33.85 220.129 33.95 218.225 34.05 217.706 34.15 216.518 34.25 216.15 34.35 216.108 34.45 215.908 34.55 217.36 34.65 218.364 34.75 221.082 34.85 220.988 34.95 220.68 35.05 222.898 35.15 224.77 35.25 226.416 35.35 228.921 35.45 231.396 35.55 233.69 35.65 234.482 35.75 236.321 35.85 239.271 35.95 241.302 36.05 241.313 36.15 243.338 36.25 245.079 36.35 244.239 36.45 245.689 36.55 247.103 36.65 247.592 36.75 250.178 36.85 250.247 36.95 251.503 37.05 252.181 37.15 253.727 37.25 254.358 37.35 257.66 37.45 260.367 37.55 264.738 37.65 268.197 37.75 274.57 37.85 280.144 37.95 286.744 38.05 294.593 38.15 301.509 38.25 309.496 38.35 322.158 38.45 336.243 38.55 349.773 38.65 368.673 38.75 389.495 38.85 413.692 38.95 436.15 39.05 456.881 39.15 481.31 39.25 515.226 39.35 552.755 39.45 603.441 39.55 657.365 39.65 711.549 39.75 753.859 39.85 797.726 39.95 832.468 40.05 855.924 40.15 864.43 40.25 874.426 40.35 878.712 40.45 869.735 40.55 861.118 40.65 842.378 40.75 813.8 40.85 798.212 40.95 768.298 41.05 712.067 41.15 664.197 41.25 606.556 41.35 545.736 41.45 488.009 41.55 419.609 41.65 359.899 41.75 310.487 41.85 266.528 41.95 221.179 42.05 183.74 42.15 149.928 42.25 118.143 42.35 91.6774 42.45 70.9727 42.55 50.4271 42.65 38.2561 42.75 28.3375 42.85 21.28 42.95 15.6998 43.05 11.4979 43.15 9.78584 43.25 8.50191 43.35 7.66978 43.45 6.82032 43.55 5.85498 43.65 5.41561 43.75 4.84738 43.85 4.45717 43.95 3.91258 44.05 3.48763 44.15 2.81239 44.25 2.15273 44.35 1.80595 44.45 1.47881 44.55 1.24197 44.65 1.09199 44.75 0.870678 44.85 0.667473 44.95 0.50495 45.05 0.394442 45.15 0.26171 45.25 0.0872482 Structure: CTVN_L_40.05(IMN) Approval Status: Unapproved Plan: Vmat Course: rond_C1 Volume [cm³]: 5.9 Dose Cover.[%]: 100.0 Sampling Cover.[%]: 100.3 Min Dose [Gy]: 39.708 Max Dose [Gy]: 41.739 Mean Dose [Gy]: 40.765
idx1v = strfind(T, 'Dose [Gy] dVolume');
idx2v = strfind(T, '45.25');
len = numel(idx1v)
len = 36
format shortG
for k = 1:numel(idx1v)
k
segment{k} = T(idx1v(k)+36 : idx2v(k)+30);
segn = textscan(segment{k},'%f');
segr = reshape(segn{:}, 2, []).';
Tseg{k} = array2table(segr);
end
k =
1
k =
2
k =
3
k =
4
k =
5
k =
6
k =
7
k =
8
k =
9
k =
10
k =
11
k =
12
k =
13
k =
14
k =
15
k =
16
k =
17
k =
18
k =
19
k =
20
k =
21
k =
22
k =
23
k =
24
k =
25
k =
26
k =
27
k =
28
k =
29
k =
30
k =
31
k =
32
k =
33
k =
34
k =
35
k =
36
disp(Tseg{1})
segr1 segr2 _____ __________ 0.05 0 0.15 0 0.25 0 0.35 0 0.45 0 0.55 0 0.65 0 0.75 0 0.85 0 0.95 0 1.05 0 1.15 0 1.25 0 1.35 0 1.45 0 1.55 0 1.65 0 1.75 0.08618 1.85 0.46564 1.95 0.55016 2.05 0.54408 2.15 0.56143 2.25 0.61749 2.35 0.63141 2.45 0.63532 2.55 0.61535 2.65 0.55521 2.75 0.48378 2.85 0.4388 2.95 0.41109 3.05 0.40021 3.15 0.37796 3.25 0.35839 3.35 0.35773 3.45 0.3703 3.55 0.35402 3.65 0.37962 3.75 0.48093 3.85 0.53172 3.95 0.67182 4.05 0.76869 4.15 0.91956 4.25 1.1944 4.35 1.4195 4.45 1.6516 4.55 2.0403 4.65 2.4742 4.75 2.8407 4.85 2.8949 4.95 2.8685 5.05 2.79 5.15 2.6709 5.25 2.5105 5.35 2.3845 5.45 2.2076 5.55 2.0446 5.65 1.9144 5.75 1.7748 5.85 1.6426 5.95 1.5251 6.05 1.4064 6.15 1.3123 6.25 1.2064 6.35 1.1055 6.45 0.98964 6.55 0.86958 6.65 0.75078 6.75 0.64186 6.85 0.55675 6.95 0.50371 7.05 0.44726 7.15 0.39732 7.25 0.34808 7.35 0.31308 7.45 0.28352 7.55 0.25366 7.65 0.23069 7.75 0.21757 7.85 0.20611 7.95 0.19406 8.05 0.18626 8.15 0.17347 8.25 0.1606 8.35 0.15672 8.45 0.14889 8.55 0.13556 8.65 0.13254 8.75 0.12756 8.85 0.1183 8.95 0.11209 9.05 0.10548 9.15 0.098006 9.25 0.091194 9.35 0.085019 9.45 0.07895 9.55 0.072615 9.65 0.068774 9.75 0.062063 9.85 0.054628 9.95 0.048055 10.05 0.037343 10.15 0.035005 10.25 0.03495 10.35 0.027046 10.45 0.016401 10.55 0.012698 10.65 0.0075156 10.75 0.00074258 10.85 0 10.95 0 11.05 0 11.15 0 11.25 0 11.35 0 11.45 0 11.55 0 11.65 0 11.75 0 11.85 0 11.95 0 12.05 0 12.15 0 12.25 0 12.35 0 12.45 0 12.55 0 12.65 0 12.75 0 12.85 0 12.95 0 13.05 0 13.15 0 13.25 0 13.35 0 13.45 0 13.55 0 13.65 0 13.75 0 13.85 0 13.95 0 14.05 0 14.15 0 14.25 0 14.35 0 14.45 0 14.55 0 14.65 0 14.75 0 14.85 0 14.95 0 15.05 0 15.15 0 15.25 0 15.35 0 15.45 0 15.55 0 15.65 0 15.75 0 15.85 0 15.95 0 16.05 0 16.15 0 16.25 0 16.35 0 16.45 0 16.55 0 16.65 0 16.75 0 16.85 0 16.95 0 17.05 0 17.15 0 17.25 0 17.35 0 17.45 0 17.55 0 17.65 0 17.75 0 17.85 0 17.95 0 18.05 0 18.15 0 18.25 0 18.35 0 18.45 0 18.55 0 18.65 0 18.75 0 18.85 0 18.95 0 19.05 0 19.15 0 19.25 0 19.35 0 19.45 0 19.55 0 19.65 0 19.75 0 19.85 0 19.95 0 20.05 0 20.15 0 20.25 0 20.35 0 20.45 0 20.55 0 20.65 0 20.75 0 20.85 0 20.95 0 21.05 0 21.15 0 21.25 0 21.35 0 21.45 0 21.55 0 21.65 0 21.75 0 21.85 0 21.95 0 22.05 0 22.15 0 22.25 0 22.35 0 22.45 0 22.55 0 22.65 0 22.75 0 22.85 0 22.95 0 23.05 0 23.15 0 23.25 0 23.35 0 23.45 0 23.55 0 23.65 0 23.75 0 23.85 0 23.95 0 24.05 0 24.15 0 24.25 0 24.35 0 24.45 0 24.55 0 24.65 0 24.75 0 24.85 0 24.95 0 25.05 0 25.15 0 25.25 0 25.35 0 25.45 0 25.55 0 25.65 0 25.75 0 25.85 0 25.95 0 26.05 0 26.15 0 26.25 0 26.35 0 26.45 0 26.55 0 26.65 0 26.75 0 26.85 0 26.95 0 27.05 0 27.15 0 27.25 0 27.35 0 27.45 0 27.55 0 27.65 0 27.75 0 27.85 0 27.95 0 28.05 0 28.15 0 28.25 0 28.35 0 28.45 0 28.55 0 28.65 0 28.75 0 28.85 0 28.95 0 29.05 0 29.15 0 29.25 0 29.35 0 29.45 0 29.55 0 29.65 0 29.75 0 29.85 0 29.95 0 30.05 0 30.15 0 30.25 0 30.35 0 30.45 0 30.55 0 30.65 0 30.75 0 30.85 0 30.95 0 31.05 0 31.15 0 31.25 0 31.35 0 31.45 0 31.55 0 31.65 0 31.75 0 31.85 0 31.95 0 32.05 0 32.15 0 32.25 0 32.35 0 32.45 0 32.55 0 32.65 0 32.75 0 32.85 0 32.95 0 33.05 0 33.15 0 33.25 0 33.35 0 33.45 0 33.55 0 33.65 0 33.75 0 33.85 0 33.95 0 34.05 0 34.15 0 34.25 0 34.35 0 34.45 0 34.55 0 34.65 0 34.75 0 34.85 0 34.95 0 35.05 0 35.15 0 35.25 0 35.35 0 35.45 0 35.55 0 35.65 0 35.75 0 35.85 0 35.95 0 36.05 0 36.15 0 36.25 0 36.35 0 36.45 0 36.55 0 36.65 0 36.75 0 36.85 0 36.95 0 37.05 0 37.15 0 37.25 0 37.35 0 37.45 0 37.55 0 37.65 0 37.75 0 37.85 0 37.95 0 38.05 0 38.15 0 38.25 0 38.35 0 38.45 0 38.55 0 38.65 0 38.75 0 38.85 0 38.95 0 39.05 0 39.15 0 39.25 0 39.35 0 39.45 0 39.55 0 39.65 0 39.75 0 39.85 0 39.95 0 40.05 0 40.15 0 40.25 0 40.35 0 40.45 0 40.55 0 40.65 0 40.75 0 40.85 0 40.95 0 41.05 0 41.15 0 41.25 0 41.35 0 41.45 0 41.55 0 41.65 0 41.75 0 41.85 0 41.95 0 42.05 0 42.15 0 42.25 0 42.35 0 42.45 0 42.55 0 42.65 0 42.75 0 42.85 0 42.95 0 43.05 0 43.15 0 43.25 0 43.35 0 43.45 0 43.55 0 43.65 0 43.75 0 43.85 0 43.95 0 44.05 0 44.15 0 44.25 0 44.35 0 44.45 0 44.55 0 44.65 0 44.75 0 44.85 0 44.95 0 45.05 0 45.15 0 45.25 0
disp(Tseg{18})
segr1 segr2 _____ __________ 0.05 0 0.15 0 0.25 0 0.35 0 0.45 0 0.55 0 0.65 0 0.75 0 0.85 0 0.95 0 1.05 0 1.15 0 1.25 0 1.35 0 1.45 0 1.55 0 1.65 0 1.75 0 1.85 0 1.95 0 2.05 0 2.15 0 2.25 0 2.35 0 2.45 0 2.55 0 2.65 0 2.75 0 2.85 0 2.95 0 3.05 0 3.15 0 3.25 0 3.35 0 3.45 0 3.55 0 3.65 0 3.75 0 3.85 0 3.95 0 4.05 0 4.15 0 4.25 0 4.35 0 4.45 0 4.55 0 4.65 0 4.75 0 4.85 0 4.95 0 5.05 0 5.15 0 5.25 0 5.35 0 5.45 0 5.55 0 5.65 0 5.75 0 5.85 0 5.95 0 6.05 0 6.15 0 6.25 0 6.35 0 6.45 0 6.55 0 6.65 0 6.75 0 6.85 0 6.95 0 7.05 0 7.15 0 7.25 0 7.35 0 7.45 0 7.55 0 7.65 0 7.75 0 7.85 0 7.95 0 8.05 0 8.15 0 8.25 0 8.35 0 8.45 0 8.55 0 8.65 0 8.75 0 8.85 0 8.95 0 9.05 0 9.15 0 9.25 0 9.35 0 9.45 0 9.55 0 9.65 0 9.75 0 9.85 0 9.95 0 10.05 0 10.15 0 10.25 0 10.35 0 10.45 0 10.55 0 10.65 0 10.75 0 10.85 0 10.95 0 11.05 0 11.15 0 11.25 0 11.35 0 11.45 0 11.55 0 11.65 0 11.75 0 11.85 0 11.95 0 12.05 0 12.15 0 12.25 0 12.35 0 12.45 0 12.55 0 12.65 0 12.75 0 12.85 0 12.95 0 13.05 0 13.15 0 13.25 0 13.35 0 13.45 0 13.55 0 13.65 0 13.75 0 13.85 0 13.95 0 14.05 0 14.15 0 14.25 0 14.35 0 14.45 0 14.55 0 14.65 0 14.75 0 14.85 0 14.95 0 15.05 0 15.15 0 15.25 0 15.35 0 15.45 0 15.55 0 15.65 0 15.75 0 15.85 0 15.95 0 16.05 0 16.15 0 16.25 0 16.35 0 16.45 0 16.55 0 16.65 0 16.75 0 16.85 0 16.95 0 17.05 0 17.15 0 17.25 0 17.35 0 17.45 0 17.55 0 17.65 0 17.75 0 17.85 0 17.95 0 18.05 0 18.15 0 18.25 0 18.35 0 18.45 0 18.55 0 18.65 0 18.75 0 18.85 0 18.95 0 19.05 0 19.15 0 19.25 0 19.35 0 19.45 0 19.55 0 19.65 0 19.75 0 19.85 0 19.95 0 20.05 0 20.15 0 20.25 0 20.35 0 20.45 0 20.55 0 20.65 0 20.75 0 20.85 0 20.95 0 21.05 0 21.15 0 21.25 0 21.35 0 21.45 0 21.55 0 21.65 0 21.75 0 21.85 0 21.95 0 22.05 0 22.15 0 22.25 0 22.35 0 22.45 0 22.55 0 22.65 0 22.75 0 22.85 0 22.95 0 23.05 0 23.15 0 23.25 0 23.35 0 23.45 0 23.55 0 23.65 0 23.75 0 23.85 0 23.95 0 24.05 0 24.15 0 24.25 0 24.35 0 24.45 0 24.55 0 24.65 0 24.75 0 24.85 0 24.95 0 25.05 0 25.15 0 25.25 0 25.35 0 25.45 0 25.55 0 25.65 0 25.75 0 25.85 0 25.95 0 26.05 0 26.15 0 26.25 0 26.35 0 26.45 0 26.55 0 26.65 0 26.75 0 26.85 0 26.95 0 27.05 0 27.15 0 27.25 0 27.35 0 27.45 0 27.55 0 27.65 0 27.75 0 27.85 0 27.95 0 28.05 0 28.15 0 28.25 0 28.35 0 28.45 0 28.55 0 28.65 0 28.75 0 28.85 0 28.95 0 29.05 0 29.15 0 29.25 0 29.35 0 29.45 0 29.55 0 29.65 0 29.75 0 29.85 0 29.95 0 30.05 0 30.15 0 30.25 0 30.35 0 30.45 0 30.55 0 30.65 0 30.75 0 30.85 0 30.95 0 31.05 0 31.15 0 31.25 0 31.35 0 31.45 0 31.55 0 31.65 0 31.75 0 31.85 0 31.95 0 32.05 0 32.15 0 32.25 0 32.35 0 32.45 0 32.55 0 32.65 0 32.75 0 32.85 0 32.95 0 33.05 0 33.15 0 33.25 0 33.35 0 33.45 0 33.55 0 33.65 0 33.75 0 33.85 0 33.95 0 34.05 0 34.15 0 34.25 0 34.35 0 34.45 0 34.55 0 34.65 0 34.75 0 34.85 0 34.95 0 35.05 0 35.15 0 35.25 0 35.35 0 35.45 0 35.55 0 35.65 0 35.75 0 35.85 0 35.95 0 36.05 0 36.15 0 36.25 0 36.35 0 36.45 1.535e-05 36.55 0.00095605 36.65 0.0023275 36.75 0.0042991 36.85 0.0061122 36.95 0.009559 37.05 0.014511 37.15 0.017217 37.25 0.022734 37.35 0.030672 37.45 0.040643 37.55 0.050188 37.65 0.061889 37.75 0.071514 37.85 0.08451 37.95 0.096951 38.05 0.10684 38.15 0.13139 38.25 0.15939 38.35 0.25217 38.45 0.39795 38.55 0.62349 38.65 1.0152 38.75 1.3349 38.85 1.9261 38.95 2.7073 39.05 3.5173 39.15 4.3819 39.25 5.2109 39.35 5.895 39.45 7.0975 39.55 7.8907 39.65 9.132 39.75 11.265 39.85 14.436 39.95 16.21 40.05 17.605 40.15 19.055 40.25 21.734 40.35 24.121 40.45 27.688 40.55 29.373 40.65 27.29 40.75 23.289 40.85 22.015 40.95 19.425 41.05 14.999 41.15 11.487 41.25 8.1389 41.35 5.0697 41.45 3.3763 41.55 2.1401 41.65 1.3278 41.75 0.5541 41.85 0.40893 41.95 0.32846 42.05 0.28105 42.15 0.26069 42.25 0.21176 42.35 0.13769 42.45 0.066696 42.55 0.012547 42.65 0 42.75 0 42.85 0 42.95 0 43.05 0 43.15 0 43.25 0 43.35 0 43.45 0 43.55 0 43.65 0 43.75 0 43.85 0 43.95 0 44.05 0 44.15 0 44.25 0 44.35 0 44.45 0 44.55 0 44.65 0 44.75 0 44.85 0 44.95 0 45.05 0 45.15 0 45.25 0
disp(Tseg{end})
segr1 segr2 _____ ________ 0.05 0 0.15 0 0.25 0 0.35 0 0.45 0 0.55 0 0.65 0 0.75 0 0.85 0 0.95 0 1.05 0 1.15 0 1.25 0 1.35 0 1.45 0 1.55 0 1.65 0 1.75 0 1.85 0 1.95 0 2.05 0 2.15 0 2.25 0 2.35 0 2.45 0 2.55 0 2.65 0 2.75 0 2.85 0 2.95 0 3.05 0 3.15 0 3.25 0 3.35 0 3.45 0 3.55 0 3.65 0 3.75 0 3.85 0 3.95 0 4.05 0 4.15 0 4.25 0 4.35 0 4.45 0 4.55 0 4.65 0 4.75 0 4.85 0 4.95 0 5.05 0 5.15 0 5.25 0 5.35 0 5.45 0 5.55 0 5.65 0 5.75 0 5.85 0 5.95 0 6.05 0 6.15 0 6.25 0 6.35 0 6.45 0 6.55 0 6.65 0 6.75 0 6.85 0 6.95 0 7.05 0 7.15 0 7.25 0 7.35 0 7.45 0 7.55 0 7.65 0 7.75 0 7.85 0 7.95 0 8.05 0 8.15 0 8.25 0 8.35 0 8.45 0 8.55 0 8.65 0 8.75 0 8.85 0 8.95 0 9.05 0 9.15 0 9.25 0 9.35 0 9.45 0 9.55 0 9.65 0 9.75 0 9.85 0 9.95 0 10.05 0 10.15 0 10.25 0 10.35 0 10.45 0 10.55 0 10.65 0 10.75 0 10.85 0 10.95 0 11.05 0 11.15 0 11.25 0 11.35 0 11.45 0 11.55 0 11.65 0 11.75 0 11.85 0 11.95 0 12.05 0 12.15 0 12.25 0 12.35 0 12.45 0 12.55 0 12.65 0 12.75 0 12.85 0 12.95 0 13.05 0 13.15 0 13.25 0 13.35 0 13.45 0 13.55 0 13.65 0 13.75 0 13.85 0 13.95 0 14.05 0 14.15 0 14.25 0 14.35 0 14.45 0 14.55 0 14.65 0 14.75 0 14.85 0 14.95 0 15.05 0 15.15 0 15.25 0 15.35 0 15.45 0 15.55 0 15.65 0 15.75 0 15.85 0 15.95 0 16.05 0 16.15 0 16.25 0 16.35 0 16.45 0 16.55 0 16.65 0 16.75 0 16.85 0 16.95 0 17.05 0 17.15 0 17.25 0 17.35 0 17.45 0 17.55 0 17.65 0 17.75 0 17.85 0 17.95 0 18.05 0 18.15 0 18.25 0 18.35 0 18.45 0 18.55 0 18.65 0 18.75 0 18.85 0 18.95 0 19.05 0 19.15 0 19.25 0 19.35 0 19.45 0 19.55 0 19.65 0 19.75 0 19.85 0 19.95 0 20.05 0 20.15 0 20.25 0 20.35 0 20.45 0 20.55 0 20.65 0 20.75 0 20.85 0 20.95 0 21.05 0 21.15 0 21.25 0 21.35 0 21.45 0 21.55 0 21.65 0 21.75 0 21.85 0 21.95 0 22.05 0 22.15 0 22.25 0 22.35 0 22.45 0 22.55 0 22.65 0 22.75 0 22.85 0 22.95 0 23.05 0 23.15 0 23.25 0 23.35 0 23.45 0 23.55 0 23.65 0 23.75 0 23.85 0 23.95 0 24.05 0 24.15 0 24.25 0 24.35 0 24.45 0 24.55 0 24.65 0 24.75 0 24.85 0 24.95 0 25.05 0 25.15 0 25.25 0 25.35 0 25.45 0 25.55 0 25.65 0 25.75 0 25.85 0 25.95 0 26.05 0 26.15 0 26.25 0 26.35 0 26.45 0 26.55 0 26.65 0 26.75 0 26.85 0 26.95 0 27.05 0 27.15 0 27.25 0 27.35 0 27.45 0 27.55 0 27.65 0 27.75 0 27.85 0 27.95 0 28.05 0 28.15 0 28.25 0 28.35 0 28.45 0 28.55 0 28.65 0 28.75 0 28.85 0 28.95 0 29.05 0 29.15 0 29.25 0 29.35 0 29.45 0 29.55 0 29.65 0 29.75 0 29.85 0 29.95 0 30.05 0 30.15 0 30.25 0 30.35 0 30.45 0 30.55 0 30.65 0 30.75 0 30.85 0 30.95 0 31.05 0 31.15 0 31.25 0 31.35 0 31.45 0 31.55 0 31.65 0 31.75 0 31.85 0 31.95 0 32.05 0 32.15 0 32.25 0 32.35 0 32.45 0 32.55 0 32.65 0 32.75 0 32.85 0 32.95 0 33.05 0 33.15 0 33.25 0 33.35 0 33.45 0 33.55 0 33.65 0 33.75 0 33.85 0 33.95 0 34.05 0 34.15 0 34.25 0 34.35 0 34.45 0 34.55 0 34.65 0 34.75 0 34.85 0 34.95 0 35.05 0 35.15 0 35.25 0 35.35 0 35.45 0 35.55 0 35.65 0 35.75 0 35.85 0 35.95 0 36.05 0 36.15 0 36.25 0 36.35 0 36.45 0 36.55 0 36.65 0 36.75 0 36.85 0 36.95 0 37.05 0 37.15 0 37.25 0 37.35 0 37.45 0 37.55 0 37.65 0 37.75 0 37.85 0 37.95 0 38.05 0 38.15 0 38.25 0 38.35 0.012667 38.45 0.10692 38.55 0.65479 38.65 1.3341 38.75 2.0956 38.85 3.8344 38.95 6.0232 39.05 10.766 39.15 20.334 39.25 46.157 39.35 115.27 39.45 282.48 39.55 576.74 39.65 889.78 39.75 1155.9 39.85 1363.4 39.95 1515.4 40.05 1561.5 40.15 1542.9 40.25 1461.6 40.35 1212.9 40.45 926.66 40.55 649.58 40.65 401.07 40.75 240.45 40.85 178.41 40.95 138.04 41.05 115.23 41.15 98.569 41.25 80.431 41.35 63.054 41.45 47.012 41.55 33.715 41.65 24.661 41.75 17.804 41.85 12.952 41.95 9.5343 42.05 7.5561 42.15 5.6716 42.25 3.8394 42.35 2.7564 42.45 2.0008 42.55 1.4902 42.65 1.0807 42.75 0.8989 42.85 0.77015 42.95 0.51983 43.05 0.23669 43.15 0.054386 43.25 0 43.35 0 43.45 0 43.55 0 43.65 0 43.75 0 43.85 0 43.95 0 44.05 0 44.15 0 44.25 0 44.35 0 44.45 0 44.55 0 44.65 0 44.75 0 44.85 0 44.95 0 45.05 0 45.15 0 45.25 0
EDIT — (12 Aug 2024 at 19:25)
Updated code to use textscan, and it now runs without error. (The previous problem was in reading the exponential notation.)
EDIT — (12 Aug 2024 at 23:25)
Corrected initial comments, since I got it to work correctly (albeit not elegantly) with textscan.
.
  1 个评论
dpb
dpb 2024-8-12，22:50
编辑：dpb 2024-8-12，23:23
Ran in:
"...cannot figure out how to parse that into two variable names for the ‘Tseg’ tables."
One way, albeit not extremely elegant...
T = fileread('Breast.txt');
idx1v = strfind(T, 'Dose [Gy] dVolume');
idx2v = strfind(T, '45.25');
idx3v=strfind(T(idx1v(1):end),char(10));
vstring=strip(T(idx1v(1):idx1v(1)+idx3v(1)))
vstring = 'Dose [Gy] dVolume / dDose [cm³ / Gy]'
vnames=cellstr(extractBefore(vstring,' dV'));
vnames{2}=strip(strrep(vstring,vnames,''));
vnames(2)=strrep(vnames{2},' / ','/')
vnames = 1x2 cell array
{'Dose [Gy]'} {'dVolume/dDose [cm³/Gy]'}
In general, I think one would need to also return the structure and the plan with the data for any context at all; just having by order in the file is going to be very hard to keep straight...nor that you aren't aware of that, @Star Strider, just commenting to @Carl Magnus I think will still need to parse fields in the file for identification purposes.

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Database Toolbox 的更多信息

标签

产品


版本

R2021b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by