Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light

In view of the problem that the doctor cannot quickly obtain the three-dimensional information of the liver surface during the traditional open resection of liver tumor without radiation, a new three-dimensional reconstruction system of liver surface based on binocular structured light is proposed i...

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Main Authors: Xin Zhang, Long Chen, Fengfeng Zhang, Lining Sun
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9312593/
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author Xin Zhang
Long Chen
Fengfeng Zhang
Lining Sun
author_facet Xin Zhang
Long Chen
Fengfeng Zhang
Lining Sun
author_sort Xin Zhang
collection DOAJ
description In view of the problem that the doctor cannot quickly obtain the three-dimensional information of the liver surface during the traditional open resection of liver tumor without radiation, a new three-dimensional reconstruction system of liver surface based on binocular structured light is proposed in this paper to obtain three-dimensional information of liver surface rapidly. The hardware construction and software module design of the three-dimensional reconstruction system of the liver surface are carried out. The multi-frequency heterodyne method is proposed to solve the problem of the lack of three-dimensional reconstruction of the liver surface. A GPU-CPU collaborative acceleration method is proposed to speed up the three-dimensional reconstruction of intraoperative liver surface. On this basis, a human respiratory platform is built to simulate the effect of human respiration on three-dimensional reconstruction of the liver surface in a real surgical environment. The accuracy and speed of the system are verified by the liver experiments: The errors of three-dimensional reconstruction of liver surface at expiratory peak and inspiratory peak are 0.78 ± 0.18mm and 0.92 ± 0.21 mm, respectively. The average time required for three-dimensional reconstruction of liver surface based on GPU-CPU collaborative calculation is 3.93s. The speed of three-dimensional reconstruction of liver surface based on GPU-CPU collaborative calculation is 52% faster than that of three-dimensional reconstruction of liver surface based on CPU. It can be seen that the system has high accuracy and fast speed, which can meet the basic needs of the doctor in surgery.
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spelling doaj.art-d13300aab1c4408995130c33f4982bcc2022-12-21T18:58:51ZengIEEEIEEE Access2169-35362021-01-019875928761010.1109/ACCESS.2020.30489539312593Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured LightXin Zhang0Long Chen1https://orcid.org/0000-0002-9408-9696Fengfeng Zhang2https://orcid.org/0000-0001-5250-9421Lining Sun3School of Mechanical and Electrical Engineering, Soochow University, Suzhou, ChinaSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou, ChinaSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou, ChinaSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou, ChinaIn view of the problem that the doctor cannot quickly obtain the three-dimensional information of the liver surface during the traditional open resection of liver tumor without radiation, a new three-dimensional reconstruction system of liver surface based on binocular structured light is proposed in this paper to obtain three-dimensional information of liver surface rapidly. The hardware construction and software module design of the three-dimensional reconstruction system of the liver surface are carried out. The multi-frequency heterodyne method is proposed to solve the problem of the lack of three-dimensional reconstruction of the liver surface. A GPU-CPU collaborative acceleration method is proposed to speed up the three-dimensional reconstruction of intraoperative liver surface. On this basis, a human respiratory platform is built to simulate the effect of human respiration on three-dimensional reconstruction of the liver surface in a real surgical environment. The accuracy and speed of the system are verified by the liver experiments: The errors of three-dimensional reconstruction of liver surface at expiratory peak and inspiratory peak are 0.78 ± 0.18mm and 0.92 ± 0.21 mm, respectively. The average time required for three-dimensional reconstruction of liver surface based on GPU-CPU collaborative calculation is 3.93s. The speed of three-dimensional reconstruction of liver surface based on GPU-CPU collaborative calculation is 52% faster than that of three-dimensional reconstruction of liver surface based on CPU. It can be seen that the system has high accuracy and fast speed, which can meet the basic needs of the doctor in surgery.https://ieeexplore.ieee.org/document/9312593/Three-dimensional reconstructionstructured lightliveraccuracyspeedrespiratory platform
spellingShingle Xin Zhang
Long Chen
Fengfeng Zhang
Lining Sun
Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light
IEEE Access
Three-dimensional reconstruction
structured light
liver
accuracy
speed
respiratory platform
title Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light
title_full Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light
title_fullStr Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light
title_full_unstemmed Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light
title_short Research on the Accuracy and Speed of Three-Dimensional Reconstruction of Liver Surface Based on Binocular Structured Light
title_sort research on the accuracy and speed of three dimensional reconstruction of liver surface based on binocular structured light
topic Three-dimensional reconstruction
structured light
liver
accuracy
speed
respiratory platform
url https://ieeexplore.ieee.org/document/9312593/
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AT longchen researchontheaccuracyandspeedofthreedimensionalreconstructionofliversurfacebasedonbinocularstructuredlight
AT fengfengzhang researchontheaccuracyandspeedofthreedimensionalreconstructionofliversurfacebasedonbinocularstructuredlight
AT liningsun researchontheaccuracyandspeedofthreedimensionalreconstructionofliversurfacebasedonbinocularstructuredlight