An optimized segmentation of main vessel in coronary angiography images via removing the overlapping pacemaker

Coronary angiography (CAG) as a typical imaging modality for the diagnosis of coronary diseases hasbeen widely employed in clinical practices. For CAG-based computer-aided diagnosis systems, accurate vessel segmentation plays a fundamental role. However, patients with bradycardia usually have a pacemaker which frequently interferes the vessel segmentation. In this case, the segmentation of vessels will be hard. To mitigate interferences of pacemakers and then extract main vessels more effectively in CAG images, we propose an approach. At first, a pseudo CAG (pCAG) image is generated through a part of a CAG sequence, in which the pacemaker exists. Then, a local feature descriptor is employed to register the relative location of pacemaker between the pCAG image and the target CAG image. Finally, combining the registration result and segmentation results of main vessels and pacemaker, interferences of pacemaker are removed and the segmentation of main vessels is improved. The proposed method is evaluated based on 11 CAG images with pacemakers acquired in clinical practices. An optimization ratio of the Dice coefficient is 12.04%, which demonstrates that our method can remove overlapping pacemakers and achieve the improvement of main vessel segmentation in CAG images.Our method can further become a helpful component in a CAG-based computer-aided diagnosis system, improving its diagnosis accuracy and efficiency.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:39

Enthalten in:

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi - 39(2022), 5 vom: 25. Okt., Seite 853-861

Sprache:

Chinesisch

Beteiligte Personen:

Huang, Yi [VerfasserIn]
Yang, Hongbo [VerfasserIn]
Xia, Menghua [VerfasserIn]
Qu, Yanan [VerfasserIn]
Guo, Yi [VerfasserIn]
Zhou, Guohui [VerfasserIn]
Zhang, Feng [VerfasserIn]
Wang, Yuanyuan [VerfasserIn]

Links:

Volltext

Themen:

Coronary angiography
English Abstract
Journal Article
Pacemaker
Registration
Segmentation
Vessel

Anmerkungen:

Date Completed 01.11.2022

Date Revised 01.07.2023

published: Print

Citation Status MEDLINE

doi:

10.7507/1001-5515.202104023

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM348247443