Presentation 2013-09-13
Cerebrovascular Segmentation from CTA and MRA Image
Shinya MAEDA, Yutaro YAMAMURA, Hyoungseop KIM, Joo Kooi TAN, Seiji ISHIKAWA, Akiyoshi YAMAMOTO,
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Abstract(in English) Radiation therapy is one of treatment technique for tumor. In the treatment, tumor parts are exposed by radiation beams from several angles. To avoid radiation exposure to normal tissues in the treatment, radiation beams are aimed accurately to tumor. Consequently, to comprehend tumor parts from CT and/or MR images is important in treatment planning. The tumor parts are displayed effectively by applying the image registration between CT and MR images. Feature based image registration technique is one of typical approaches for image registration. In this study, to develop assistance system of radiation therapy for brain tumor, cerebrovascular segmentation method which is utilized as feature position detection of image registration technique for head CTA and MRA images has been proposed. Availability of proposed method has been investigated by applying to head CTA and MRA images.
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Keyword(in English) Radiation Therapy / Head CTA Image / Head MRA Image / Cerebrovascular / Segmentation / Registration
Paper # LOIS2013-21,IE2013-42,EMM2013-64
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Committee LOIS
Conference Date 2013/9/5(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cerebrovascular Segmentation from CTA and MRA Image
Sub Title (in English)
Keyword(1) Radiation Therapy
Keyword(2) Head CTA Image
Keyword(3) Head MRA Image
Keyword(4) Cerebrovascular
Keyword(5) Segmentation
Keyword(6) Registration
1st Author's Name Shinya MAEDA
1st Author's Affiliation Graduate School of Engineering, Kyushu Institute of Technology()
2nd Author's Name Yutaro YAMAMURA
2nd Author's Affiliation Graduate School of Engineering, Kyushu Institute of Technology
3rd Author's Name Hyoungseop KIM
3rd Author's Affiliation Graduate School of Engineering, Kyushu Institute of Technology
4th Author's Name Joo Kooi TAN
4th Author's Affiliation Graduate School of Engineering, Kyushu Institute of Technology
5th Author's Name Seiji ISHIKAWA
5th Author's Affiliation Graduate School of Engineering, Kyushu Institute of Technology
6th Author's Name Akiyoshi YAMAMOTO
6th Author's Affiliation Kyoaikai Tobata Kyoritsu Hospital
Date 2013-09-13
Paper # LOIS2013-21,IE2013-42,EMM2013-64
Volume (vol) vol.113
Number (no) 210
Page pp.pp.-
#Pages 4
Date of Issue