Encoder-decoder architecture for ultrasound IMC segmentation and cIMT measurement
Author | Al-Mohannadi A. |
Author | Al-Maadeed, Somaya |
Author | Elharrouss O. |
Author | Sadasivuni K.K. |
Available date | 2022-05-19T10:23:06Z |
Publication Date | 2021 |
Publication Name | Sensors |
Resource | Scopus |
Identifier | http://dx.doi.org/10.3390/s21206839 |
Abstract | Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) measurements have been significantly implemented to perform early diagnosis of CVDs by analyzing IMT features. Using computer vision algorithms on CCA images is not widely used for this type of diagnosis, due to the complexity and the lack of dataset to do it. The advancement of deep learning techniques has made accurate early diagnosis from images possible. In this paper, a deep-learning-based approach is proposed to apply semantic segmentation for intima-media complex (IMC) and to calculate the cIMT measurement. In order to overcome the lack of large-scale datasets, an encoder-decoder-based model is proposed using multi-image inputs that can help achieve good learning for the model using different features. The obtained results were evaluated using different image segmentation metrics which demonstrate the effectiveness of the proposed architecture. In addition, IMT thickness is computed, and the experiment showed that the proposed model is robust and fully automated compared to the state-of-the-art work. |
Sponsor | Funding: This publication was supported by Qatar University Internal Grant No. IRCC-2020-013 and Sultan Qaboos University through Grant # CL/SQU-QU/ENG/20/01, respectively. The findings achieved herein are solely the responsibility of the authors. |
Language | en |
Publisher | MDPI |
Subject | Decoding Deep learning Image segmentation Large dataset Semantic Segmentation Semantics Signal encoding Ultrasonics Cardiovascular disease Carotid intima-media thickness Common carotid artery Deep learning Early diagnosis Encoder-decoder Encoder-decoder architecture Encoder-decoder model Intima-media thickness Segmentation Diagnosis algorithm arterial wall thickness common carotid artery diagnostic imaging early diagnosis echography Algorithms Carotid Artery, Common Carotid Intima-Media Thickness Early Diagnosis Ultrasonography |
Type | Article |
Issue Number | 20 |
Volume Number | 21 |
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