Model-Resolution-Based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging

Prakash, Jaya and Dehghani, Hamid and Pogue, Brian W and Yalavarthy, Phaneendra K (2014) Model-Resolution-Based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging. In: IEEE TRANSACTIONS ON MEDICAL IMAGING, 33 (4). pp. 891-901.

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Abstract

The image reconstruction problem encountered in diffuse optical tomographic imaging is ill-posed in nature, necessitating the usage of regularization to result in stable solutions. This regularization also results in loss of resolution in the reconstructed images. A frame work, that is attributed by model-resolution, to improve the reconstructed image characteristics using the basis pursuit deconvolution method is proposed here. The proposed method performs this deconvolution as an additional step in the image reconstruction scheme. It is shown, both in numerical and experimental gelatin phantom cases, that the proposed method yields better recovery of the target shapes compared to traditional method, without the loss of quantitativeness of the results.

Item Type:	Journal Article
Publication:	IEEE TRANSACTIONS ON MEDICAL IMAGING
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information:	Copyright for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, USA
Keywords:	Basis pursuit deconvolution; diffuse optical tomography; image reconstruction; near infrared imaging
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	03 Jun 2014 08:40
Last Modified:	03 Jun 2014 08:40
URI:	http://eprints.iisc.ac.in/id/eprint/49134

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