Towards Realizing Virtual Clinical Trials for Optimization and Evaluation of Breast Imaging Systems
It is essential that breast cancer be detected at its earliest stages for better prognosis. Advanced imaging techniques and systems are constantly under development and study to improve the screening and detection of breast cancer. Like every technological advancement in medical care, these techniques and systems need to be tested and verified before their clinical translation. What are currently considered the gold standard for justification of clinical translation are randomized clinical trials. Clinical trials are time-consuming, costly, and expose the population to extra irradiation in the case of x-ray imaging. Given the recent advances in computation and modeling, virtual clinical trials can be carefully designed and carried out to inform, orient, or potentially replace clinical trials given adequate validation and credibility. This dissertation elaborates on the design, implementation, and performance analysis of virtual clinical trials, which is made possible through the employment and advancement of sophisticated tools and models.
Medical imaging and radiology
Signal and Image Processing
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