Solving Ultrasound Tomography's Inverse Problem: Automating Regularization Parameter Selection

Ultrasound tomography (UT) is a noninvasive procedure that can be used to detect breast cancer. Yet, to accomplish this, reconstruction algorithms must solve an inherent nonlinear, ill-posed inverse problem. One solution is to use the distorted Born iterative (DBI) method. However, in order for succ...

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Bibliographic Details
Published in:	IEEE transactions on ultrasonics, ferroelectrics, and frequency control Vol. 69; no. 8; pp. 2447 - 2461
Main Authors:	Carevic, Anita, Slapnicar, Ivan, Almekkawy, Mohamed
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Distorted Born iterative (DBI) method Ill posed problems Image quality Image reconstruction Inverse problems Iterative methods Mathematical models Noise levels Numerical methods Parameters Regularization Scattering Tikhonov regularization Tomography Transducers Ultrasonic imaging ultrasound tomography (UT)
ISSN:	0885-3010, 1525-8955, 1525-8955
Online Access:	Get full text
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