Reconstruction of the Descending Thoracic Aorta by Multiview Compounding of 3-D Transesophageal Echocardiographic Aortic Data Sets for Improved Examination and Quantification of Atheroma Burden

Maria Chiara Carminati, Concetta Piazzese, Lynn Weinert, Wendy Tsang, Gloria Tamborini, Mauro Pepi, Roberto Miguel Lang, Enrico Gianluca Caiani

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

A robust and efficient approach to reconstruction of the descending thoracic aorta from contiguous 3-D transesophageal echocardiographic (TEE) images is proposed. An ad hoc image acquisition protocol was designed to acquire ordered and partially overlapped 3-D TEE data sets, followed by dedicated image processing to align and fuse all acquired data sets. Alignment strategy implemented pairwise rigid registration guided by a priori knowledge, and it was validated using artificially misaligned images. Image fusion was finally performed to enable visualization and analysis of extended field-of-view of the acquired aorta. The application of different fusion techniques was also investigated. The method was applied to a population of 17 consecutive patients. Qualitative and quantitative results supported the feasibility and accuracy of the proposed approach. In a clinical scenario, its application could allow the quantitative assessment of aortic plaque burden in the descending thoracic aorta from 3-D TEE images.

Original languageEnglish
Pages (from-to)1263-1276
Number of pages14
JournalUltrasound in Medicine and Biology
Volume41
Issue number5
Early online date13 Feb 2015
DOIs
Publication statusPublished - 1 May 2015
Externally publishedYes

Fingerprint

Dive into the research topics of 'Reconstruction of the Descending Thoracic Aorta by Multiview Compounding of 3-D Transesophageal Echocardiographic Aortic Data Sets for Improved Examination and Quantification of Atheroma Burden'. Together they form a unique fingerprint.

Cite this