2011 Fiscal Year Final Research Report
Atlas-based automated segmentation and anatomical identification of tubular and sheet structures from 3D medical images
| Project/Area Number |
21300068
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Osaka University |
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Principal Investigator |
SATO Yoshinobu 大阪大学, 大学院・医学系研究科, 准教授 (70243219)
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| Co-Investigator(Kenkyū-buntansha) |
NAKAMOTO Masahiko 大阪大学, 医学系・研究科, 助教 (00380634)
HORI Masatoshi 大阪大学, 医学系・研究科, 助教 (00346206)
TOMIYAMA Noriyuki 大阪大学, 医学系・研究科, 教授 (50294070)
SUGANO Nobuhiko 大阪大学, 医学系・研究科, 寄附講座教授 (70273620)
NISHII Takashi 大阪大学, 医学系・研究科, 寄附講座准教授 (70304061)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 統計形状モデル / 確率アトラス / CT画像 / セグメンテーション / 解剖学的ラベル付け / 腹部血管 / 肺葉間裂 / 関節軟骨 |
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| Research Abstract |
A fully-automated segmentation system for anatomical identification of tube-like and sheet-like structures from 3D medical images has been developed based on statistical atlas representing the constraints of shapes and interrelations of the anatomical structures, which is constructed by statistical analysis of a number of patient anatomical ground truth datasets. Using the system, abdominal arteries/ veins and portal veins as tube-like structures and interlobar fissure and articular cartilage as sheet-like structures were automatically segmented and identified from 3D CT images.
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Research Products
(11 results)
