EC873 Computational Imaging and Physics

Course Name: 

EC873 Computational Imaging and Physics

Programme: 

M.Tech(SPML)

Category: 

Elective (Ele)

Credits (L-T-P): 

(4-0-0) 4

Content: 

Imaging methods and modalities, computational aspects of analysis, theoretical and applied; modalities in medical imaging, geophysics, applied physics, biology, astronomy, remote sensing and optics; methods and applications in nuclear medical imaging physics and radiology, image guided radiotherapy; computational photography, inverse problems and reconstruction, modeling, analysis; use of optimization, compressed sensing and pattern recognition and machine learning theory; applications of deep learning and artificial intelligence.

References: 

Kedar Khare, Fourier Optics and Computational Imaging, Wiley, 2015.
B.H Brown, R.H Smallwood, D.C. Barber, P.V Lawford, D.R Hose, Medical Physics and Biomedical Engineering, CRC Press 1998.
S Webb, The Physics of Medical Imaging, Institute of Physics, 1988.
Paul Suetens, Fundamentals of Medical Imaging, Cambridge University Press, 2009.
Thayalan K, The Physics Of Radiology And Imaging, Jaypee Brothers 2014.
Tetsuo Asano, Geometry, Morphology, and Computational Imaging, Springer 2002.

Department: 

Electronics and Communication Engineering(ECE)
 

Contact us

Dr. T. Laxminidhi,  Professor and Head, 
Department of E&C, NITK, Surathkal
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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