Clinic heart disease system

版本 1.2.0 (1.4 MB) 作者: Ahmad Alenezi

RNA toolbox to extract parameters from radionuclide angiography (RNA) images.

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更新时间 2023/10/24

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This toolbox is associated with the forthcoming publication titled "Cardiotoxicity Detection Tool for Breast Cancer Chemotherapy: A Retrospective Study." It offers a comprehensive framework for researchers to analyze parameters such as the left ventricle ejection fraction, dyssynchrony metrics, and numerous additional factors.

The software incorporates a diverse set of tools designed to evaluate the impact of technical variables (e.g., filter selection, matrix dimensions) and clinical aspects (e.g., cardiotoxicity manifestations). This platform is invaluable for a broad spectrum of professionals, including researchers, clinicians, medical technologists, medical physicists, and students in the field.

Some .m files are used from mathwork or github, the name of original author is written inside the file.

1- Chenvese: Implemented by Yue Wu

2- regionGrowing: written by Daniel Kellner, 2011

3- regiongrowingX: written by D. Kroon, University of Twente

4- ApEn_slow: written by Amir Omidvarnia, PhD

5- MyHistogram: written by Image Analyst mathwork contributor

Some codes are writteb based on papers or links:

1- DOS: Written at 21-9-2021 based on information of https://stats.stackexchange.com/questions/379666/measure-of-smoothness

2- CNR: Written at 21-9-2021 based on paper:

https://www.researchgate.net/publication/228664578_Practical_Evaluation_of_Image_Quality_in_Computed_Radiographic_CR_Imaging_Systems

https://en.wikipedia.org/wiki/Contrast_resolution

https://en.wikipedia.org/wiki/Contrast-to-noise_ratio

Rest .m files are written by us.

引用格式

Ahmad Alenezi (2024). Clinic heart disease system (https://www.mathworks.com/matlabcentral/fileexchange/117290-clinic-heart-disease-system), MATLAB Central File Exchange. 检索来源 2024/7/26.