'Biomedical Image Processing' is an elective course offered for the B. Tech. (Bachelor of Technology) in Electronics and Communication Engineering at School of Engineering, Amrita Vishwa Vidyapeetham.
Unit 1
Objectives of biomedical image analysis - Computer aided diagnosis - Nature of medical images: X-ray imaging – Tomography - Nuclear medicine imaging - SPECT imaging - Positron imaging tomography – Ultrasonography - Magnetic resonance imaging. Removal of artifacts - Space domain filters - Frequency domain filters - Optimal filtering - Adaptive filters.
Unit 2
Image enhancement – Gray level transforms - Histogram transformation - Convolution mask operators - Contrast enhancement. Detection of regions of interest - Thresholding and binarization - Detection of isolated lines and points - Edge detection - Region growing.
Unit 3
Analysis of shape and texture - Representation of shapes and contours - Shape factors - Models for generation of texture - Statistical analysis of texture - Fractal analysis - Fourier domain analysis of texture - Segmentation and structural analysis of texture. Pattern classification and diagnostic decision - Measures of diagnostic accuracy - Applications: Contrast enhancement of mammograms - Detection of calcifications by region growing - Shape and texture analysis of tumours.
TEXTBOOKS
- Sinha G. R, Patel, B. C., “Medical Image Processing: Concepts And Applications”, Prentice Hall, 2014.
- Gonzalez R C, Woods R E, “Digital Image Processing”, Third Edition, Prentice Hall, 2007
REFERENCES
- Rangayyan R M, “Biomedical Image Analysis”, Fifth Edition, CRC Press, 2005
- KayvanNajarian, Robert Splinter, “Biomedical Signal and Image Processing”, Second Edition, CRC Press, 2014.
- Deserno T M, “Biomedical Image Processing”, Springer, 2011.
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