TY - GEN
T1 - Automatic Quantification of Extra-Medial Thickness in Carotid Ultrasound
AU - Zahnd, Guillaume
AU - Skilton, Michael
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/17
Y1 - 2018/12/17
N2 - Ultrasound imaging of the carotid artery is one of the most widely used technique to assess cardiovascular burden. Nevertheless, the established 'intima-media thickness' index fails to reflect some structural modifications that accompany atherosclerotic disease progression. For this reason, the 'extra-medial thickness' (EMT)index has been put forward, and was demonstrated to be associated with cardiovascular risk factors. The aim of this article is to present an automated framework based on contour segmentation to quantify the EMT. The method is based on a dual-step dynamic programming scheme to extract unambiguously the anatomical interfaces from different regions bearing a similar anatomical structure. Applied in vivo on 35 participants, the average accuracy was 115 ± 196 μm. Accordingly, the proposed method shows promising performance to perform automatic quantified measurements toward cardiovascular risk evaluation.
AB - Ultrasound imaging of the carotid artery is one of the most widely used technique to assess cardiovascular burden. Nevertheless, the established 'intima-media thickness' index fails to reflect some structural modifications that accompany atherosclerotic disease progression. For this reason, the 'extra-medial thickness' (EMT)index has been put forward, and was demonstrated to be associated with cardiovascular risk factors. The aim of this article is to present an automated framework based on contour segmentation to quantify the EMT. The method is based on a dual-step dynamic programming scheme to extract unambiguously the anatomical interfaces from different regions bearing a similar anatomical structure. Applied in vivo on 35 participants, the average accuracy was 115 ± 196 μm. Accordingly, the proposed method shows promising performance to perform automatic quantified measurements toward cardiovascular risk evaluation.
KW - Cardiovascular risk
KW - Carotid artery
KW - Contour segmentation
KW - Dynamic programming
KW - Ultrasound
UR - http://www.scopus.com/inward/record.url?scp=85060639495&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2018.8580135
DO - 10.1109/ULTSYM.2018.8580135
M3 - Conference contribution
AN - SCOPUS:85060639495
T3 - IEEE International Ultrasonics Symposium, IUS
BT - 2018 IEEE International Ultrasonics Symposium, IUS 2018
PB - IEEE Computer Society
T2 - 2018 IEEE International Ultrasonics Symposium, IUS 2018
Y2 - 22 October 2018 through 25 October 2018
ER -