Local motion-compensated method for high-quality 3D coronary artery reconstruction

Liu, Bo; Bai, Xiangzhi; Zhou, Fugen

doi:10.1364/boe.7.005268

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Patient-specific 4D heart shape information facilitates the following applications: accurate coronary artery structure acquisition [ 2 , 3 ], analysis of 4D blood flow and stenosis [ 4 , 5 , 6 ], removal of motion artifacts in the vascular region [ 7 , 8 , 9 ], surgical simulation for each patient [ 10 ], postoperative evaluation and analysis [ 5 , 6 ], atrial motion analysis [ 11 , 12 ], vascular motion analysis [ 13 , 14 ], and real-time deformation prediction during surgery combined with 2D images [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

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

Yoon

Chun

et al. 2020

Sensors

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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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Section: Introductionmentioning

confidence: 99%

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

Yoon

Chun

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The patient-specific 4D heart shape information facilitates the following applications. For example, accurate coronary artery structure acquisition [2,3], analysis of 4D blood flow and stenosis [4][5][6], removal of motion artifacts in the vascular region [7][8][9], surgical simulation for each patient [10], postoperative evaluation and analysis [5,6], atrial motion analysis [11,12], vascular motion analysis [13,14] real-time deformation prediction during surgery combined with 2D images [8].…”

Section: Introductionmentioning

confidence: 99%

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

Yoon¹,

Yoon²,

Chun³

et al. 2020

Preprint

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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 the procedure in the postoperative and postoperative processes. In particular, if the shape information can be provided in real-time using the electrocardiogram(ECG) signal using this information, the heart’s movement information can be used for cardiovascular analysis and imaging guides during surgery. In this paper, we propose creating a 3D+t cardiac coronary artery model that is rendered in real-time according to the ECG signal. Hierarchical cage-based deformation modeling is used to generate mesh deformation used during the procedure according to the ECG signal. We match the blood vessel’s lumen obtained from the ECG-gated 3D+t CT angiography taken at the multiple cardiac phases to derive the optimal deformation. Splines for 3D deformation control points were used to continuously represent the obtained deformation at the multi-view according to the ECG signal. To verify the proposed method, we compared the manually segmented lumen and results of the proposed method for eight patients. The average distance and dice coefficient between the two models was 0.543mm and 0.735, respectively. The required time for registration of the 3D coronary artery model is 23.53 seconds/model. rendering speed to derive the model according to the ECG signal after generating the 3D+t model is faster than 120 FPS.

show abstract

Local motion-compensated method for high-quality 3D coronary artery reconstruction

Cited by 2 publications

References 33 publications

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

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

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

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