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Development of Next Generation Image Reconstruction Algorithms for Diffuse Optical and Photoacoustic Tomography

Electronic Theses of Indian Institute of Science

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Field Value
 
Title Development of Next Generation Image Reconstruction Algorithms for Diffuse Optical and Photoacoustic Tomography
 
Creator Jaya Prakash, *
 
Subject Image Reconstruction
Optical Tomography
Photoacoustic Tomography
Medical imaging
biomedical optical imaging
diffuse optical tomography
multi-modal imaging
Inverse Problems
Sparse Recovery
Di use Optical Tomographic Image Reconstruction
Di use Optical Tomographic Imaging
Magnetic Resonance Imaging (MRI)
Photoacoustic Images
Biomedical Engineering
 
Description Biomedical optical imaging is capable of providing functional information of the soft bi-ological tissues, whose applications include imaging large tissues, such breastand brain in-vivo. Biomedical optical imaging uses near infrared light (600nm-900nm) as the probing media, givin ganaddedadvantageofbeingnon-ionizingimagingmodality. The tomographic technologies for imaging large tissues encompasses diffuse optical tomogra-phyandphotoacoustictomography.
Traditional image reconstruction methods indiffuse optical tomographyemploysa
�2-norm based regularization, which is known to remove high frequency no is either econstructed images and make the mappearsmooth. Hence as parsity based image reconstruction has been deployed for diffuse optical tomography, these sparserecov-ery methods utilize the �p-norm based regularization in the estimation problem with 0≤ p
 
Contributor Yalavarthy, Phaneendra K
 
Date 2018-02-14T21:22:42Z
2018-02-14T21:22:42Z
2018-02-15
2014
 
Type Thesis
 
Identifier http://hdl.handle.net/2005/3112
http://etd.ncsi.iisc.ernet.in/abstracts/3972/G26344-Abs.pdf
 
Language en_US
 
Relation G26344