I want to do an image processing project on Echocardiography and use MATLAB to semi-automatically diagnose cardiomyopathy, I’d be very grateful if you suggest a technique or any papers on this matter.
The first question to answer is which type of cardiomyopathy are you screening for (i.e. hypertrophic, dialated, restrictive).
Cardiomyopathy is largely a clinical diagnosis that is supported by imaging and other testing. (http://bestpractice.bmj.com/best-practice/monograph/371/diagnosis/step-by-step.html)
Echo measurements can help distinguish between the types of cardiomyopathy and sometimes these measurements provide predictive value of future outcomes. Ejection fraction, ventricular volume, and muscle wall thickness are a few of the measurements taken.
Hopefully some of that information is helpful. I have also linked to a few articles that might be beneficial as well:
https://www.sciencedaily.com/releases/2016/11/161122080812.htm
https://medicalxpress.com/news/2016-11-algorithms-hcm-echos.html
http://www.acc.org/latest-in-cardiology/articles/2012/08/09/10/26/hcm-versus-athletes-heart
http://www.asecho.org/wordpress/wp-content/uploads/2013/05/Multimodality-CV-Imaging-of-Patient-w-Hypertrophic-Cardiomyopathy.pdf
https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/ehjcimaging/10/8/10.1093_ejechocard_jep158/2/jep158.pdf?Expires=1488579170&Signature=Hlw3MzTGwZykYVDLHH7H-Kgte7aO3IEZhfIH5wC9CVwThTChIx1d5XU1e-k8zz3CFN4yRMuphD~~UImq1-UcZuQ0~1xUUCPwvYBXuPPitl1kGb~C-UzKFstMcwFaFenHffSxUpviDD5U4OWov4W120mu9UAO4myo21UsNHWyROvYwP-xSOXzMBepgQHSfypzGLwuyZ1mSm1opPR0oQKs3KvOLOjUVKK93uSwmY8LLemHSx6yeKNSUSU5AJnQAvoDdLXqyV1UEJmONFMXegjr6UfYyz9bfCVoXKIjbEwADbrBxjIdcQ~0cvab0PhpTKLJF48m81hy0SH4N5hmfIRntA__&Key-Pair-Id=APKAIUCZBIA4LVPAVW3Q
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