EC869 Medical Imaging and Biosignal Analysis

Course Name: 

EC869 Medical Imaging and Biosignal Analysis




Elective (Ele)

Credits (L-T-P): 

(4-0-0) 4


Bio-electromagnetism, bioelectric sources and conductor modeling, image formation in modern medical imaging modalities, radiography, fluoroscopy, and computed tomography, magnetic resonance imaging, ultrasound, acoustic and photoacoustic imaging, X-Ray tomography, radiation measurements, safety issues, and physiological signals and responses, Bioelectrical signals, Evoked potentials, Electromyogram, respiration and heart rate variability, mathematical modeling and techniques for image and bio-signal analysis and diagnostic decision-making, detection, segmentation and classification techniques, Computational Bio-imaging, data interpolation, registration, acquisition and compression.


Jaakko Malmivuo, Bioelectromagnetism - Principles and Applications of Bioelectric and Biomagnetic Fields, Oxford University Press, 1995.
John L. Semmlow, Benjamin Griffel, Biosignal and Medical Image Processing, 3rd Ed, CRC Press, 2014.
E. Russell Ritenour and William Hendee, Medical Imaging Physics, 4th Ed, 2002.
Rangaraj M. Rangayyan, Biomedical image analysis, CRC Press, 2004.
B.H Brown, R.H Smallwood, D.C. Barber, P.V Lawford, D.R Hose, Medical Physics and Biomedical Engineering, CRC Press, 1998.


Electronics and Communication Engineering(ECE)

Contact us

Prof. N. Shekar V. Shet, Professor and Head, 
Department of ECE, NITK, Surathkal
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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