A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram

Cardiovascular-related diseases are one of the leading causes of death worldwide. An understanding of heart movement based on images plays a vital role in assisting postoperative procedures and processes. In particular, if shape information can be provided in real-time using electrocardiogram (ECG)...

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Main Authors: Siyeop Yoon, Changhwan Yoon, Eun Ju Chun, Deukhee Lee
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/19/5680
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author Siyeop Yoon
Changhwan Yoon
Eun Ju Chun
Deukhee Lee
author_facet Siyeop Yoon
Changhwan Yoon
Eun Ju Chun
Deukhee Lee
author_sort Siyeop Yoon
collection DOAJ
description Cardiovascular-related diseases are one of the leading causes of death worldwide. An understanding of heart movement based on images plays a vital role in assisting postoperative procedures and processes. In particular, if shape information can be provided in real-time using electrocardiogram (ECG) signal information, the corresponding heart movement information can be used for cardiovascular analysis and imaging guides during surgery. In this paper, we propose a 3D+t cardiac coronary artery model which is rendered in real-time, according to the ECG signal, where hierarchical cage-based deformation modeling is used to generate the mesh deformation used during the procedure. We match the blood vessel’s lumen obtained from the ECG-gated 3D+t CT angiography taken at multiple cardiac phases, in order to derive the optimal deformation. Splines for 3D deformation control points are used to continuously represent the obtained deformation in the multi-view, according to the ECG signal. To verify the proposed method, we compare the manually segmented lumen and the results of the proposed method for eight patients. The average distance and dice coefficient between the two models were 0.543 mm and 0.735, respectively. The required time for registration of the 3D coronary artery model was 23.53 s/model. The rendering speed to derive the model, after generating the 3D+t model, was faster than 120 FPS.
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spelling doaj.art-af449f4d679b4cf39782d237b1870d462023-11-20T16:08:01ZengMDPI AGSensors1424-82202020-10-012019568010.3390/s20195680A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with ElectrocardiogramSiyeop Yoon0Changhwan Yoon1Eun Ju Chun2Deukhee Lee3Center for Medical Robotics, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, KoreaCardiovascular Center, Seoul National University Bundang Hospital, Seongnam 13620, KoreaDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, KoreaCenter for Medical Robotics, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, KoreaCardiovascular-related diseases are one of the leading causes of death worldwide. An understanding of heart movement based on images plays a vital role in assisting postoperative procedures and processes. In particular, if shape information can be provided in real-time using electrocardiogram (ECG) signal information, the corresponding heart movement information can be used for cardiovascular analysis and imaging guides during surgery. In this paper, we propose a 3D+t cardiac coronary artery model which is rendered in real-time, according to the ECG signal, where hierarchical cage-based deformation modeling is used to generate the mesh deformation used during the procedure. We match the blood vessel’s lumen obtained from the ECG-gated 3D+t CT angiography taken at multiple cardiac phases, in order to derive the optimal deformation. Splines for 3D deformation control points are used to continuously represent the obtained deformation in the multi-view, according to the ECG signal. To verify the proposed method, we compare the manually segmented lumen and the results of the proposed method for eight patients. The average distance and dice coefficient between the two models were 0.543 mm and 0.735, respectively. The required time for registration of the 3D coronary artery model was 23.53 s/model. The rendering speed to derive the model, after generating the 3D+t model, was faster than 120 FPS.https://www.mdpi.com/1424-8220/20/19/56803D+t modelingcoronary arterynon-rigid registrationcage deformation4D CT
spellingShingle Siyeop Yoon
Changhwan Yoon
Eun Ju Chun
Deukhee Lee
A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram
Sensors
3D+t modeling
coronary artery
non-rigid registration
cage deformation
4D CT
title A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram
title_full A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram
title_fullStr A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram
title_full_unstemmed A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram
title_short A Patient-Specific 3D+t Coronary Artery Motion Modeling Method Using Hierarchical Deformation with Electrocardiogram
title_sort patient specific 3d t coronary artery motion modeling method using hierarchical deformation with electrocardiogram
topic 3D+t modeling
coronary artery
non-rigid registration
cage deformation
4D CT
url https://www.mdpi.com/1424-8220/20/19/5680
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