Evaluation of Indirect Methods for Motion Compensation in 2-D Focal Liver Lesion Contrast-Enhanced Ultrasound (CEUS) Imaging.

Bakas, S ; Doulgerakis-Kontoudis, M ; et al.

In: Ultrasound in medicine & biology, Jg. 45 (2019-06-01), Heft 6, S. 1380-1396

academicJournal

This study investigates the application and evaluation of existing indirect methods, namely point-based registration techniques, for the estimation and compensation of observed motion included in the 2-D image plane of contrast-enhanced ultrasound (CEUS) cine-loops recorded for the characterization and diagnosis of focal liver lesions (FLLs). The value of applying motion compensation in the challenging modality of CEUS is to assist in the quantification of the perfusion dynamics of an FLL in relation to its parenchyma, allowing for a potentially accurate diagnostic suggestion. Towards this end, this study also proposes a novel quantitative multi-level framework for evaluating the quantification of FLLs, which to the best of our knowledge remains undefined, notwithstanding many relevant studies. Following quantitative evaluation of 19 indirect algorithms and configurations, while also considering the requirement for computational efficiency, our results suggest that the "compact and real-time descriptor" (CARD) is the optimal indirect motion compensation method in CEUS.

Titel:	Evaluation of Indirect Methods for Motion Compensation in 2-D Focal Liver Lesion Contrast-Enhanced Ultrasound (CEUS) Imaging.
Autor/in / Beteiligte Person:	Bakas, S ; Doulgerakis-Kontoudis, M ; Hunter, GJA ; Sidhu, PS ; Makris, D ; Chatzimichail, K
Zeitschrift:	Ultrasound in medicine & biology, Jg. 45 (2019-06-01), Heft 6, S. 1380-1396
Veröffentlichung:	Oxford, New York, Pergamon Press., 2019
Medientyp:	academicJournal
ISSN:	1879-291X (electronic)
DOI:	10.1016/j.ultrasmedbio.2019.01.023
Schlagwort:	Adult Aged Aged, 80 and over Female Humans Liver diagnostic imaging Male Middle Aged Motion Young Adult Contrast Media Image Enhancement methods Image Interpretation, Computer-Assisted methods Liver Neoplasms diagnostic imaging Ultrasonography methods
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, Non-U.S. Gov't Language: English [Ultrasound Med Biol] 2019 Jun; Vol. 45 (6), pp. 1380-1396. <i>Date of Electronic Publication: </i>2019 Apr 02. MeSH Terms: Contrast Media* ; Image Enhancement / methods ; Image Interpretation, Computer-Assisted / methods ; Liver Neoplasms / diagnostic imaging ; Ultrasonography / methods ; Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Liver / diagnostic imaging ; Male ; Middle Aged ; Motion ; Young Adult Contributed Indexing: Keywords: Automation; CEUS; Computer-aided detection; Contrast agents; Contrast-enhanced ultrasound; Focal liver lesions; Liver cancer; Motion compensation; Ultrasound Substance Nomenclature: 0 (Contrast Media) Entry Date(s): Date Created: 20190407 Date Completed: 20200122 Latest Revision: 20200122 Update Code: 20240513

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