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Strain elastography with ultrasound computer tomography: a simulation study based on biomechanical models

Hopp, Torsten ORCID iD icon; Ruiter, Nicole V. ORCID iD icon

Abstract:

Ultrasound computer tomography (USCT) is a promising modality for breast cancer diagnosis which images the reflectivity, sound speed and attenuation of tissue. Elastic properties of breast tissue, however, cannot directly be imaged although they have shown to be applicable as a discriminator between different tissue types. In this work we propose a novel approach combining USCT with the principles of strain elastography. Socalled USCT-SE makes use of imaging the breast in two deformation states, estimating the deformation field based on reconstructed images and thereby allows localizing and distinguishing soft and hard masses. We use a biomechanical model of the breast to realistically simulate both deformation states of the breast. The analysis of the strain is performed by estimating the deformation field from the deformed to the undeformed image by a non-rigid registration. In two experiments the non-rigid registration is applied to ground truth sound speed images and simulated SAFT images. Results of the strain analysis show that for both cases soft and hard lesions can be distinguished visually in the elastograms. This paper provides a first approach to obtain mechanical information based on external mechanical excitation of breast tissue in a USCT system.


Postprint §
DOI: 10.5445/IR/1000130763
Veröffentlicht am 05.12.2022
Originalveröffentlichung
DOI: 10.1117/12.2580884
Scopus
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 02.2021
Sprache Englisch
Identifikator ISBN: 978-1-5106-4034-4
KITopen-ID: 1000130763
HGF-Programm 54.12.03 (POF IV, LK 01) Science Systems
Erschienen in Medical Imaging 2021 : Ultrasonic Imaging and Tomography. Ed.: B.C. Byram
Veranstaltung SPIE Medical Imaging (2021), Online, 15.02.2021 – 20.02.2021
Verlag SPIE
Seiten 33
Serie Proceedings of SPIE ; 11602
Nachgewiesen in Dimensions
Scopus
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