Development Of Deterministic And Stochastic Algorithms For Inverse Problems Of Optical Tomography

Development Of Deterministic And Stochastic Algorithms For Inverse Problems Of Optical Tomography

Stable and computationally efficient reconstruction methodologies are developed to solve two important medical imaging problems which use near-infrared (NIR) light as the source of interrogation, namely, diffuse optical tomography (DOT) and one of its variations, ultrasound-modulated optical tomogra...

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Bibliographic Details
Main Author: Gupta, Saurabh
Other Authors: Vasu, Ram Mohan
Language:en_US
Published: 2017
Subjects:
Optical Tompgraphy
Diffuse Optical Tomography (DOT)
Ultrasound Modulated Optical Tomography (UMOT)
Inverse Problems
Gauss-Newton Algorithm
Pseuo-Dynamic Ensemble Kalman Filter
Stochastic Algorithms
Stochastic Filtering Algorithms
Medical Imaging
Medical Instrumentation
Online Access:http://etd.iisc.ernet.in/handle/2005/2608
http://etd.ncsi.iisc.ernet.in/abstracts/3422/G26351-Abs.pdf

Internet

http://etd.iisc.ernet.in/handle/2005/2608
http://etd.ncsi.iisc.ernet.in/abstracts/3422/G26351-Abs.pdf

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