Upgrading of the CT image database by automatically attaching the meta-information

• Project/Area Number: 26330134
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Multimedia database
• Research Institution: Gifu University
• Principal Investigator: ZHOU XIANGRONG 岐阜大学, 大学院医学系研究科, 助教 (00359738)
• Research Collaborator: FUJITA Hiroshi ; AZUMA Kagaku ; KATO Hiroki ; WANG Song
• Project Period (FY): 2014-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
• Keywords: データベースシステム / 医用画像処理 / 解剖学的構造の自動認識 / データベース / 医用画像 / 解剖構造 / 深層学習 / 計算機支援診断 / 手術計画支援 / ３Dプリンタ / 機械学習 / 3D Printing / 体幹部CT画像 / 臓器の位置検出

Outline of Final Research Achievements

In this work, we collected a large number of three-dimensional CT images. The anatomical structures and local image appearances in those images were arranged. We developed a machine-learning based approach to recognize and extract anatomical structures automatically from the CT images, and integrated that information into the database. We applied the database to predicting the risk of breast cancers and vertebral fractures in preventive medicine, and 3D printing of the patient specific models for uterus surgical planning.The aim of this work of “Upgrading of the CT image database by automatically attaching the meta-information” was almost realized.

Research Products

• [Int'l Joint Research] University of South Carolina(米国)
• [Int'l Joint Research] University of Western Ontario London(Canada)
• [Int'l Joint Research] University of Western Ontario(カナダ)
• [Journal Article] Evaluation of pre-surgical models for uterine surgery by use of three-dimensional printing and mold casting (2017)
  • Author(s): Sayed Ahmad Zikri Sayed Aluwee, Xiangrong Zhou. Hiroki KATO, Hiroshi MAKINO, Chisako MURAMATSU, Takeshi HARA, Masayuki MATSUO, Hiroshi FUJITA
  • Journal Title: Radiological Physics and Technology Volume: - Issue: 3 Pages: 279-285
  • DOI: 10.1007/s12194-017-0397-2
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Normal model construction for statistical image analysis of torso FDG-PET images based on anatomical standardization by CT images from FDG-PET/CT devices (2017)
  • Author(s): K. Takeda, T. Hara, X. Zhou, T. Katafuchi, M. Kato, S. Ito, K. Ishihara, S. Mumita, and H. Fujita
  • Journal Title: Int J. CARS Volume: - Issue: 5 Pages: 777-787
  • DOI: 10.1007/s11548-017-1526-4
  • Peer Reviewed
• [Journal Article] First trial and evaluation of anatomical structure segmentations in 3D CT images based only on deep learning (2016)
  • Author(s): X. Zhou, T. Ito, R. Takayama, S. Wang, T. Hara, and H. Fujita
  • Journal Title: Medical Image and Information Sciences Volume: 33 Pages: 69-74
  • NAID: 130005249491
  • Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
• [Journal Article] Classification of teeth in cone-beam CT using deep convolutional neural network (2016)
  • Author(s): Y.Miki, C.Muramatsu, T.Hayashi, X.Zhou, T.Hara, A.Katsumata, and H.Fujita
  • Journal Title: Computers in Biology and Medicine Volume: 80 Pages: 24-29
  • DOI: 10.1016/j.compbiomed.2016.11.003
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Magnetic resonance imaging of uterine fibroids: A preliminary investigation into the usefulness of 3D-rendered images for surgical planning (2015)
  • Author(s): S. A. Z. B. S.Aluwee, H.Kato, X.Zhou, T.Hara, H.Fujita, M.Kanematsu, T.Furui, R.Yano, N.Miyai, and K.Morishige
  • Journal Title: SpringerPlus Volume: 4 Issue: 1 Pages: 1-8
  • DOI: 10.1186/s40064-015-1170-9
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] Advanced automatic method for detecting maxillary sinusitis on dental panoramic radiographs (2015)
  • Author(s): 三木勇磨, 原 武史, 村松千左子, 林 達郎, 勝又明敏, 周 向栄, 藤田広志
  • Journal Title: Medical Imaging and Information Sciences Volume: 32 Issue: 4 Pages: 77-80
  • DOI: 10.11318/mii.32.77
  • NAID: 130005116556
  • ISSN: 0910-1543, 1880-4977
  • Peer Reviewed / Open Access
• [Journal Article] Quantitative analysis of torso FDG-PET scans by using anatomical standardization of normal cases from thorough physical examinations (2015)
  • Author(s): T.Hara, T.Kobayashi, S.Ito, X.Zhou, T.Katafuchi, and H.Fujita
  • Journal Title: PLOS ONE Volume: 10 Issue: 5 Pages: 1-16
  • DOI: 10.1371/journal.pone.0125713
  • Peer Reviewed / Open Access
• [Journal Article] Blind image quality assessment using the joint statistics of generalized local binary pattern (2015)
  • Author(s): M.Zhang, C.Muramatsu, X.Zhou, T.Hara, and H.Fujita
  • Journal Title: IEEE Signal Processing Letters Volume: 22 Issue: 2 Pages: 207-210
  • DOI: 10.1109/lsp.2014.2326399
  • Peer Reviewed
• [Journal Article] Development and evaluation of statistical shape modeling for principal inner organs on torso CT images (2014)
  • Author(s): Xiangrong Zhou
  • Journal Title: Radiological Physics and Technology Volume: 7 Issue: 2 Pages: 1-7
  • DOI: 10.1007/s12194-014-0261-6
  • Peer Reviewed
• [Journal Article] 位置特徴量の導入と特徴量選択による頸動脈石灰化の自動検出法の改良 (2014)
  • Author(s): 高橋 龍，村松千左子，原 武史，林 達郎，勝又明敏，周 向栄，藤田広志
  • Journal Title: 日本放射線技術学会雑誌 Volume: 70 Pages: 526-533
  • NAID: 130004486929
  • Peer Reviewed
• [Presentation] Image segmentation only based on deep learning (2017)
  • Author(s): X. Zhou
  • Organizer: 第73回日本放射線技術学会総会学術大会
  • Place of Presentation: 横浜市，日本
  • Year and Date: 2017-04-13
  • Invited
• [Presentation] Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach (2017)
  • Author(s): X. Zhou, R. Takayama, S. Wang, T. Hara, and H. Fujita
  • Organizer: SPIE Medical Imaging 2017
  • Place of Presentation: Orlando, FL, USA
  • Year and Date: 2017-02-12
  • Int'l Joint Research
• [Presentation] Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN (2017)
  • Author(s): X. Zhou, T. Kano, S. Li, Xin. Zhou, T. Hara, R.Yokoyama, and H.Fujita
  • Organizer: SPIE Medical Imaging 2017
  • Place of Presentation: Orlando, FL, USA
  • Year and Date: 2017-02-12
  • Int'l Joint Research
• [Presentation] Three-dimensional CT image segmentation by combining 2D fully convolutional network with 3D majority voting (2016)
  • Author(s): X. Zhou, T. Ito, R. Takayama, S. Wang, T. Hara, and H. Fujita
  • Organizer: 2nd Workshop on Deep Learning in Medical Image Analysis, MICCAI 2016
  • Place of Presentation: Athens, Greece
  • Year and Date: 2016-10-17
  • Int'l Joint Research
• [Presentation] Elastic organ models by using 3D printed mold from MR images (2016)
  • Author(s): S. A. Z. B. S.Aluwee, X.Zhou, H.Kato, T.Hara, H.Fujita, M.Kanematsu, T.Furui, R.Yano, N.Miyai, and K.Morishige
  • Organizer: JSRT2016
  • Place of Presentation: Pacifico-Yokohama, Yokohama, Japan
  • Year and Date: 2016-04-14
• [Presentation] Automatic quantification of mammary glands on non-contrast X-ray CT by using a novel segmentation approach (2016)
  • Author(s): X.Zhou, T.Kano, Y.Cai, S.Li, X.Zhou, T.Hara, R.Yokoyama, and H.Fujita
  • Organizer: SPIE Medical Imaging 2016: Computer-Aided Diagnosis
  • Place of Presentation: San Diego, USA
  • Year and Date: 2016-02-27
  • Int'l Joint Research
• [Presentation] Three modality image registration of brain SPECT/CT and MR images for quantitative analysis of dopamine transporter imaging (2016)
  • Author(s): Y.Yamaguchi, Y.Takeda, T.Hara, X.Zhou, M.Matsusako, Y.Tanaka, K.Hosoya, T.Nihei, T.Katafuchi, and H.Fujita
  • Organizer: SPIE Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
  • Place of Presentation: San Diego, USA
  • Year and Date: 2016-02-27
  • Int'l Joint Research
• [Presentation] Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images (2016)
  • Author(s): N.Kamiya, X.Zhou, K.Azuma, C.Muramatsu, T.Hara, and H.Fujita
  • Organizer: SPIE Medical Imaging 2016: Computer-Aided Diagnosis
  • Place of Presentation: San Diego, USA
  • Year and Date: 2016-02-27
  • Int'l Joint Research
• [Presentation] Automatic segmentation of anatomical structures in 3D CT images based only on deep learning (2016)
  • Author(s): X. Zhou
  • Organizer: 第18回医用画像認知学会
  • Place of Presentation: 熊本市，日本
• [Presentation] Efficient investigation of surgery planning of uterine fibroid removal by using 2D MR images, 3D advanced visualization and physical models from 3D printing (2015)
  • Author(s): X.Zhou, S. A. Z. B. S.Aluwee, H.Kato, T.Hara, H.Fujita, M.Kanematsu, T.Furui, R.Yano, N.Miyai, and K.Morishige
  • Organizer: RSNA2015
  • Place of Presentation: Chicago, USA
  • Year and Date: 2015-11-28
  • Int'l Joint Research
• [Presentation] Automatic anatomy partitioning of the torso region on CT images by using multiple organ localizations with a group-wise calibration technique (2015)
  • Author(s): Xiangrong Zhou, Syoichi Morita, Xinxin Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita
  • Organizer: SPIE Medical Imaging 2015: Computer-Aided Diagnosis
  • Place of Presentation: Orlando, FL, USA
  • Year and Date: 2015-02-21 – 2015-02-26
• [Presentation] A02-3 Function integrated diagnostic assistance based on multidisciplinary computational anatomy : Plan of five years and progress overview FY2014 (2015)
  • Author(s): H.Fujita, T.Hara, X.Zhou, H.Chen, D.Fukuoka, N.Kamiya, M.Kanematsu, T.Katafuchi, C.Muramatsu, A.Teramoto, and Y.Uchiyama
  • Organizer: the First International Symposium on the Project Multidisciplinary Computational Anatomy
  • Place of Presentation: 福岡，日本
  • Year and Date: 2015-02-15
• [Presentation] Automatic Partitioning Torso CT Images based on Anatomical Definition and its Performance Evaluation by using a Large Dataset (2014)
  • Author(s): X. Zhou, S Morita; T Hara, R Yokoyama; H Chen; M Kanematsu, H. Fujitsu
  • Organizer: RSNA 2014（第100回北米放射線学会）
  • Place of Presentation: Chicago, IL, USA
  • Year and Date: 2014-11-30 – 2014-12-05
• [Presentation] Does the Background Removal Tool used on Nature Pictures Work Well for Organ Segmentations on 3D CT Images? (2014)
  • Author(s): X Zhou, T Ito; T Hara, R Yokoyama; H Chen; M Kanematsu, H.Fujita
  • Organizer: RSNA 2014（第100回北米放射線学会）
  • Place of Presentation: Chicago, IL, USA
  • Year and Date: 2014-11-30 – 2014-12-05
• [Presentation] Model Construction for Computational Anatomy: Progress Overview FY2009-FY2013 (2014)
  • Author(s): H.Fujita, T.Hara, X.Zhou, C.Muramatsu, N.Kamiya, M.Zhang, D.Fukuoka, Y.Hatanaka, T.Matsubara, A.Teramoto, Y.Uchiyama, H.Chen, and H.Hoshi
  • Organizer: Fifth International Symposium on the Project Computational Anatomy
  • Place of Presentation: 東京，日本
  • Year and Date: 2014-08-05
• [Book] Computational Intelligence in Biomedical Imaging (Chapter 7: Computer-aided image analysis for vertebral anatomy on X-ray CT images) (2014)
  • Author(s): T.Hayashi, H.Chen, K.Miyamoto, X.Zhou, T.Hara, and H.Fujita
  • Total Pages: 397
  • Publisher: Springer
• [Remarks] 公刊物目録
  • URL: http://www.fjt.info.gifu-u.ac.jp/publication/index.html
• [Remarks] 公刊物目録
  • URL: http://www.fjt.info.gifu-u.ac.jp/publication/pub.html#---2016---
• [Remarks] 公刊物目録
  • URL: http://www.fjt.info.gifu-u.ac.jp/publication/