Stony Brook University 3 credits BMI
This course will give an overview of the analytical aspects of the Biomedical Imaging Informatics. Topics include image visualization, enhancement, processing and analysis, with focus on the applications in medical fields. It covers a broad spectrums of biomedical image analysis techniques: image enhancement, segmentation, registration, texture analysis, morphometry, and tractography. Their applications in diagnostic and therapeutic imaging will be extensively discussed. The course will also cover a wide range of image modalities: Magnetic resonance imaging (with its various subtypes), Computed tomography, Ultrasound, Positron emission tomography, Single-photon emission computed tomography, etc., with an emphasis on the interplay and fusion of multi-source information. The computation/analysis will be carried out using languages such as Matlab, C, Python, Java, etc., based on well tested open sources algorithm packages such as the Insight Toolkit. Moreover, softwares more geared towards end-users, such as 3D Slicer, ImageJ, FreeSurfer, etc. will also be introduced. 3 credits Grading Letter graded (A, A-, B+, etc.)
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