A fast and stable vascular deformation scheme for interventional surgery training system
Identifieur interne : 000315 ( Main/Exploration ); précédent : 000314; suivant : 000316A fast and stable vascular deformation scheme for interventional surgery training system
Auteurs : Xiufen Ye [République populaire de Chine] ; Jianguo Zhang [République populaire de Chine] ; Peng Li [République populaire de Chine] ; Tian Wang [République populaire de Chine] ; Shuxiang Guo [République populaire de Chine, Japon]Source :
- BioMedical Engineering OnLine [ 1475-925X ] ; 2016.
Abstract
The emergence and development of robot assistant interventional vascular surgery technologies have benefited many patients with cardiovascular or cerebrovascular diseases. Due to the absence of effective training measures, these new advanced technologies have not been fully utilized and only few experienced surgeons can perform such complicated surgeries so far. In order to solve such problems, virtual reality based vascular interventional surgery training system, a promising way to train young surgeons or assist experienced surgeons to perform surgery, has been widely studied.
In this paper, we mainly conduct a thorough study on both reliable deformation and high real-time performance of an interactive surgery training system. An efficient hybrid geometric blood vessel model which handles the collision detection query and vascular deformation calculation separately is employed to enhance the real-time performance of our surgery training system. In addition, a position-based dynamic approach with volume conservation constraint is used to improve the vascular deformation result. Finally, a hash table based spatial adaptive acceleration algorithm which makes the training system much more efficient and reliable is described.
Several necessary experiments are conducted to validate the vascular deformation scheme presented in this paper. From the results we can see that the position-based dynamic modeling method with volume conservation constraint can prevent the vascular deformation from the issue of penetration. In addition, the deformation calculation with spatial acceleration algorithm has enhanced the real-time performance significantly.
The corresponding experimental results indicate that both the hybrid geometric blood vessel model and the hash table based spatial adaptive acceleration algorithm can enhance the performance of our surgery training system greatly without losing the deformation accuracy.
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DOI: 10.1186/s12938-016-0148-3
PubMed: 27048290
PubMed Central: 4822255
Affiliations:
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deformation scheme for interventional surgery training system</title><author><name sortKey="Ye, Xiufen" sort="Ye, Xiufen" uniqKey="Ye X" first="Xiufen" last="Ye">Xiufen Ye</name><affiliation wicri:level="1"><nlm:aff id="Aff1">College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin</wicri:regionArea><wicri:noRegion>Harbin</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Jianguo" sort="Zhang, Jianguo" uniqKey="Zhang J" first="Jianguo" last="Zhang">Jianguo Zhang</name><affiliation wicri:level="1"><nlm:aff id="Aff1">College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin</wicri:regionArea><wicri:noRegion>Harbin</wicri:noRegion></affiliation></author><author><name sortKey="Li, Peng" sort="Li, Peng" uniqKey="Li P" first="Peng" last="Li">Peng Li</name><affiliation wicri:level="1"><nlm:aff id="Aff1">College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin</wicri:regionArea><wicri:noRegion>Harbin</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Tian" sort="Wang, Tian" uniqKey="Wang T" first="Tian" last="Wang">Tian Wang</name><affiliation wicri:level="1"><nlm:aff id="Aff1">College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin</wicri:regionArea><wicri:noRegion>Harbin</wicri:noRegion></affiliation></author><author><name sortKey="Guo, Shuxiang" sort="Guo, Shuxiang" uniqKey="Guo S" first="Shuxiang" last="Guo">Shuxiang Guo</name><affiliation wicri:level="1"><nlm:aff id="Aff1">College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin</wicri:regionArea><wicri:noRegion>Harbin</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff2">Intelligent Mechanical Systems Engineering, Kagawa University, Hayashi-cho, Takamatsu, 761-0396 Japan</nlm:aff><country xml:lang="fr">Japon</country><wicri:regionArea>Intelligent Mechanical Systems Engineering, Kagawa University, Hayashi-cho, Takamatsu</wicri:regionArea><wicri:noRegion>Takamatsu</wicri:noRegion></affiliation></author></analytic><series><title level="j">BioMedical Engineering OnLine</title><idno type="eISSN">1475-925X</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>The emergence and development of robot assistant interventional vascular surgery technologies have benefited many patients with cardiovascular or cerebrovascular diseases. Due to the absence of effective training measures, these new advanced technologies have not been fully utilized and only few experienced surgeons can perform such complicated surgeries so far. In order to solve such problems, virtual reality based vascular interventional surgery training system, a promising way to train young surgeons or assist experienced surgeons to perform surgery, has been widely studied.</p></sec><sec><title>Methods</title><p>In this paper, we mainly conduct a thorough study on both reliable deformation and high real-time performance of an interactive surgery training system. An efficient hybrid geometric blood vessel model which handles the collision detection query and vascular deformation calculation separately is employed to enhance the real-time performance of our surgery training system. In addition, a position-based dynamic approach with volume conservation constraint is used to improve the vascular deformation result. Finally, a hash table based spatial adaptive acceleration algorithm which makes the training system much more efficient and reliable is described.</p></sec><sec><title>Results</title><p>Several necessary experiments are conducted to validate the vascular deformation scheme presented in this paper. From the results we can see that the position-based dynamic modeling method with volume conservation constraint can prevent the vascular deformation from the issue of penetration. In addition, the deformation calculation with spatial acceleration algorithm has enhanced the real-time performance significantly.</p></sec><sec><title>Conclusion</title><p>The corresponding experimental results indicate that both the hybrid geometric blood vessel model and the hash table based spatial adaptive acceleration algorithm can enhance the performance of our surgery training system greatly without losing the deformation accuracy.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Davidson, Ija" uniqKey="Davidson I">IJA Davidson</name></author><author><name sortKey="Lok, C" uniqKey="Lok C">C Lok</name></author><author><name sortKey="Dolmatch, B" uniqKey="Dolmatch B">B Dolmatch</name></author><author><name sortKey="Gallieni, M" uniqKey="Gallieni M">M Gallieni</name></author><author><name sortKey="Nolen, B" uniqKey="Nolen B">B Nolen</name></author><author><name sortKey="Pittiruti, M" uniqKey="Pittiruti M">M 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