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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jg. 69; H. 8; S. 2447 - 2461
Hauptverfasser:	Carevic, Anita, Slapnicar, Ivan, Almekkawy, Mohamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!