A semiautomatic nonrigid registration in liver cancer treatment with an open MR system

Songyuan Tang; Yen Wei Chen; Rui Xu; Yongtian Wang; Shigehiro Morikawa; Yoshimasa Kurumi

doi:10.1007/11941354_83

A semiautomatic nonrigid registration in liver cancer treatment with an open MR system

Songyuan Tang^*, Yen Wei Chen, Rui Xu, Yongtian Wang, Shigehiro Morikawa, Yoshimasa Kurumi

^*Corresponding author for this work

School of Optics and Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A semiautomatic nonrigid registration is proposed to match preoperative CT images and real-time MR images during the ablation of liver tumors. The method includes three parts. Firstly, the livers are extracted from CT and MR images. Since the CT image is acquired a several days before surgery, there is enough time for surgeons to segment the liver from the CT image manually. During the surgery, active contour is used to extract the liver from the MR image. Then, we use affine registration to match the images roughly. Finally, high accuracy registration is reached by free-form deformation registration. The average distance of liver surfaces is within 1.5 mm and the result of visual inspection is very well. The results are far better than Andres'.

Original language	English
Title of host publication	Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings
Pages	802-810
Number of pages	9
DOIs	https://doi.org/10.1007/11941354_83
Publication status	Published - 2006
Event	16th International Conference on Artificial Reality and Telexistence, ICAT 2006 - Hangzhou, China Duration: 29 Nov 2006 → 1 Dec 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4282 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Artificial Reality and Telexistence, ICAT 2006
Country/Territory	China
City	Hangzhou
Period	29/11/06 → 1/12/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/11941354_83

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Tang, S., Chen, Y. W., Xu, R., Wang, Y., Morikawa, S., & Kurumi, Y. (2006). A semiautomatic nonrigid registration in liver cancer treatment with an open MR system. In Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings (pp. 802-810). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4282 LNCS). https://doi.org/10.1007/11941354_83

Tang, Songyuan ; Chen, Yen Wei ; Xu, Rui et al. / A semiautomatic nonrigid registration in liver cancer treatment with an open MR system. Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. 2006. pp. 802-810 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A semiautomatic nonrigid registration in liver cancer treatment with an open MR system",

abstract = "A semiautomatic nonrigid registration is proposed to match preoperative CT images and real-time MR images during the ablation of liver tumors. The method includes three parts. Firstly, the livers are extracted from CT and MR images. Since the CT image is acquired a several days before surgery, there is enough time for surgeons to segment the liver from the CT image manually. During the surgery, active contour is used to extract the liver from the MR image. Then, we use affine registration to match the images roughly. Finally, high accuracy registration is reached by free-form deformation registration. The average distance of liver surfaces is within 1.5 mm and the result of visual inspection is very well. The results are far better than Andres'.",

author = "Songyuan Tang and Chen, {Yen Wei} and Rui Xu and Yongtian Wang and Shigehiro Morikawa and Yoshimasa Kurumi",

year = "2006",

doi = "10.1007/11941354_83",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "802--810",

booktitle = "Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings",

note = "16th International Conference on Artificial Reality and Telexistence, ICAT 2006 ; Conference date: 29-11-2006 Through 01-12-2006",

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Tang, S, Chen, YW, Xu, R, Wang, Y, Morikawa, S & Kurumi, Y 2006, A semiautomatic nonrigid registration in liver cancer treatment with an open MR system. in Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4282 LNCS, pp. 802-810, 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Hangzhou, China, 29/11/06. https://doi.org/10.1007/11941354_83

A semiautomatic nonrigid registration in liver cancer treatment with an open MR system. / Tang, Songyuan; Chen, Yen Wei; Xu, Rui et al.
Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. 2006. p. 802-810 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4282 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A semiautomatic nonrigid registration in liver cancer treatment with an open MR system

AU - Tang, Songyuan

AU - Chen, Yen Wei

AU - Xu, Rui

AU - Wang, Yongtian

AU - Morikawa, Shigehiro

AU - Kurumi, Yoshimasa

PY - 2006

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N2 - A semiautomatic nonrigid registration is proposed to match preoperative CT images and real-time MR images during the ablation of liver tumors. The method includes three parts. Firstly, the livers are extracted from CT and MR images. Since the CT image is acquired a several days before surgery, there is enough time for surgeons to segment the liver from the CT image manually. During the surgery, active contour is used to extract the liver from the MR image. Then, we use affine registration to match the images roughly. Finally, high accuracy registration is reached by free-form deformation registration. The average distance of liver surfaces is within 1.5 mm and the result of visual inspection is very well. The results are far better than Andres'.

AB - A semiautomatic nonrigid registration is proposed to match preoperative CT images and real-time MR images during the ablation of liver tumors. The method includes three parts. Firstly, the livers are extracted from CT and MR images. Since the CT image is acquired a several days before surgery, there is enough time for surgeons to segment the liver from the CT image manually. During the surgery, active contour is used to extract the liver from the MR image. Then, we use affine registration to match the images roughly. Finally, high accuracy registration is reached by free-form deformation registration. The average distance of liver surfaces is within 1.5 mm and the result of visual inspection is very well. The results are far better than Andres'.

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Tang S, Chen YW, Xu R, Wang Y, Morikawa S, Kurumi Y. A semiautomatic nonrigid registration in liver cancer treatment with an open MR system. In Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. 2006. p. 802-810. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11941354_83

A semiautomatic nonrigid registration in liver cancer treatment with an open MR system

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