Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort

Computers in Biology and Medicine
Mainak BiswasJasjit S Suri

Abstract

The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular diseases and stroke monitoring. This study presents an intelligence-based, novel, robust, and clinically-strong strategy that uses a combination of deep-learning (DL) and machine-learning (ML) paradigms. A two-stage DL-based system (a class of AtheroEdge™ systems) was proposed for cIMT measurements. Stage I consisted of a convolution layer-based encoder for feature extraction and a fully convolutional network-based decoder for image segmentation. This stage generated the raw inner lumen borders and raw outer interadventitial borders. To smooth these borders, the DL system used a cascaded stage II that consisted of ML-based regression. The final outputs were the far wall lumen-intima (LI) and media-adventitia (MA) borders which were used for cIMT measurements. There were two sets of gold standards during the DL design, therefore two sets of DL systems (DL1 and DL2) were derived. A total of 396 B-mode ultrasound images of the right and left common carotid artery were used from 203 patients (Institutional Review Board approved, Toho University, Japan). For the test set, the cIMT error for the DL1 and DL2 systems with respect to the gold standard...Continue Reading

Citations

Sep 5, 2020·Ultrasonic Imaging·Nirvedh H MeshramTomy Varghese
Apr 17, 2019·Medical & Biological Engineering & Computing·Narendra N KhannaJasjit S Suri
Nov 30, 2019·International Angiology : a Journal of the International Union of Angiology·Luca SabaJasjit S Suri
Jul 3, 2021·Biomedicines·Masaaki KomatsuRyuji Hamamoto

❮ Previous
Next ❯

Related Concepts

Related Feeds

Biomarkers for Diabetes

This feed focuses on the latest research on biomarkers used for monitoring disease progression in diabetes.

Biomarkers for Cardiovascular Risk Assessment

Sensitive and accurate biomarkers used in cardiovascular risk prediction can potentially be used to manage the risk of cardiovascular disease. Discover the latest research on Biomarkers for Cardiovascular Risk Assessment here. Discover the latest research on Biomarkers for Cardiovascular Risk Assessment here.

Cardiovascular Disorder in Diabetes

Diabetes is associated with an increased risk of cardiovascular disorders and heart failure. Discover the latest research here.

Related Papers

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Filippo MolinariJasjit S Suri
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
Joseph F PolakDaniel H O'Leary
© 2022 Meta ULC. All rights reserved