Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic Learning on Gated CT

Jiajian Li, Anwei Li, Jiansheng Fang, Yonghe Hou, Chao Song, Huifang Yang, Jingwen Wang, Hongbo Liu, Jiang Liu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Coronary calcium scoring (CCS) can be quantified on non-gated or gated computed tomography (CT) for screening cardiovascular disease (CVD). And non-gated CT is used for routine coronary artery calcium (CAC) screening due to its affordability. However, artifacts of non-gated CT imaging, pose a significant challenge for automatic scoring. To combat the scoring bias caused by artifacts, we develop a novel semantic-prompt scoring siamese (SPSS) network for automatic CCS of non-gated CT. In SPSS, we establish a sharing network with regression supervised learning and semantic supervised learning. We train the SPSS by mixing non-gated CT without CAC mask and gated CT with CAC mask. In regression supervised learning, the network is trained to predict the CCS of non-gated CT. To combat the influence of motion artifacts, we introduce semantic supervised learning. We utilize gated CT to train the network to learn more accurate CAC semantic features. By integrating regression supervised learning and semantic supervised learning, the semantic information can prompt the regression supervised learning to accurately predict the CCS of non-gated CT. By conducting extensive experiments on publicly available dataset, we prove that the SPSS can alleviate the potential scoring bias introduced by pixel-wise artifact labels. Moreover, our experimental results show that the SPSS establishes state-of-the-art performance.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2575-2583
Number of pages9
ISBN (Electronic)9798350307443
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 - Paris, France
Duration: 2 Oct 20236 Oct 2023

Publication series

NameProceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023

Conference

Conference2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023
Country/TerritoryFrance
CityParis
Period2/10/236/10/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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