Patient-specific 3D-Visualization of the Liver and Vascular Structures for surgical assistance and its a touch-less Visualization of medical image
| Project/Area Number |
15K16031
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | Hiroshima Institute of Technology (2016-2017)
Ritsumeikan University (2015) |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | ハンズフリー医用画像可視化操作 / ジェスチャ解析・認識 / 手術支援 / Kinect / L字型スクリーン / 血管構造解析 / 機械学習 / タッチレス医用画像可視化操作 / ジェスチャモデル / ジェスチャ認識 / タッチレスジェスチャ / kinect Depth Sensor / 医用画像可視化操作 / 高精度な臓器情報の抽出 / 血管情報可視化 / 人体臓器の対話可視化操作 / 非接触デバイス / タッチレスシステムのための手指形状解析 |
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| Outline of Final Research Achievements |
During surgery, surgeons requests to use some contacting devices to display or visualize medical images and check the anatomic information of the patient. However, after operating the visualization device, re-sterilization is necessary in order to maintain hygiene. In this study, we develop a novel computer assistant surgery system using touch-less device system, which can manipulate by surgeon themselves and keep hygiene condition. The depth and skeleton information from Kinect are effectively utilized to produce marker-less hand extraction. The development system can manipulate the anatomical model of the patient presented on the L-shaped screen based on the gesture information obtained from KINECT.
Our development system can visualize 3D medical image with L-shape type screen and 9 kinds of simple touch-less single handed interactions. Experiments show that the proposed system is able to achieve high accuracy.
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Report
(4 results)
Research Products
(44 results)
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[Journal Article] Computerized Assessment of Small Bowel Motility Function Using Cine-MR Imaging : Preliminary Results in Super-Pixel Segmental Method2017
Author(s)
Nguyen Dai Hung Linh, Akira Furukawa, Ayako Taniguchi, Yen Wei Chen, Tomoko Tateyama, Akitoshi Inoue, Shuzo Kanasaki, Makoto Wakamiya, Syerikjan Tulyeubai, Kiyosumi Maeda, Hiroshi Yamamoto, Akiyoshi Mizumoto, Akira Andoh
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Journal Title
The Journal of Transportation Medicine
Volume: 71(3/4)
Pages: 88-96
NAID
Related Report
Peer Reviewed
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[Presentation] Efficient Shape Representation of Abdominal Organs Based on Spherical Harmonic Functions (SPHARM)2015
Author(s)
Tomoko Tateyama, Mei Uetani, Titinunt Kitrungrotsakul, Rui Xu, Shinya Kohara, Chen-Lun Lin, Akira Furukawa, Shuzo Kanasaki, Satoshi Tanaka, YenWei Chen
Organizer
Computer Assisted Radiology and Surgery(CARS2015)
Place of Presentation
Balserona, Spain
Year and Date
2015-06-29
Related Report
Int'l Joint Research
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