Medical Image Processing

Introduction, texture analysis, basic principles of medical image communication, history, terminology, algorithms, image formation and medical imaging, imaging modalities, image enhancement, image statistics, histograms, visualization of medical images, surface and volume-based approaches, illumination, image segmentation, robustness, watershed transform, active contours, live wire, active shapes, texture analysis, texture localization and delineation, digital representation of color, image data management, standards, components of PACS, lossy and lossless compression, ImageJ.

Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course