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Tensor Sparse Coding for Temporal and Spatial Feature Extraction and Classification of Liver Lesions in Multi-phase CT Images

Research Project

Project/Area Number 18H03267
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionRitsumeikan University

Principal Investigator

陳 延偉  立命館大学, 情報理工学部, 教授 (60236841)

Co-Investigator(Kenkyū-buntansha) 岩本 祐太郎  立命館大学, 情報理工学部, 助教 (30779054)
韓 先花  山口大学, 大学院創成科学研究科, 准教授 (60469195)
古川 顕  東京都立大学, 人間健康科学研究科, 教授 (80199421)
金崎 周造  滋賀医科大学, 医学部, 非常勤講師 (90464180)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Granted (Fiscal Year 2020)
Budget Amount *help
¥15,600,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥3,600,000)
Fiscal Year 2020: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2019: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000)
Keywords多重線型代数 / スパース表現法 / テンソル / 多時相CT画像 / 肝腫瘍性病変症例検索 / 肝腫瘍性病変 / 多重線型理論 / スパース符号化法 / 計算機診断支援 / 深層学習 / 肝臓腫瘍の分類 / 類似症例検索 / 診断支援 / テンソルスパース表現 / 時空間特徴抽出 / テンソルスパース表現法 / 肝臓のセグメンテーション / 鑑別と分類 / 時空間特徴
Outline of Annual Research Achievements

肝臓がんは、平均5年生存率が30%程度とがん全体の中でも極めて低く、正確な診断に基づく早期発見が求められる。肝臓がんの診断には、多時相CT画像(造影剤を急速注入してから経時的に複数回の撮像を行なって得られたCT画像)がよく用いられる。本研究では、肝腫瘍性病変の計算機支援診断法の確立を目的とし、多時相CT画像から有効な時空間特徴抽出のフレームワークを構築するとともに、診断の参考となる過去の類似肝腫瘍性病変症例を検索できるシステムを開発した。既存手法は、個々の時相CT画像から特徴を抽出し、それらの特徴ベクトルを繋いで時空間特徴として病変分類または類似症例検索に使用していたが、時相間の共起関係を記述することができず、分類または検索の精度は十分ではなかった。本研究では、多時相CT画像を一つのテンソルとして取り扱い、我々が開発したテンソルスパース表現法を用いた時相間の共起を考慮した時空間特徴抽出法を提案し、多時相CT画像を用いた肝腫瘍性病変の分類精度ならびに類似症例の検索精度を向上させた。また、提案法の有効性について計算機実験による検証だけではなく、医師による検証実験も行い、その有効性を確認した。さらに、近年注目されている深層学習法を用いた肝臓腫瘍の分類と類似症例検索法を開発した。より高精度な分類と検索ができるようになった。それらの成果は、国際学術誌Pattern Recognition Letter, 医用画像情報学会誌、およびトップ国際学会MICCAI2019, IEEE ICIP2019などで発表した。また、医用画像情報学会誌で発表した論文は、学会の金森奨励賞を受賞した。

Current Status of Research Progress
Current Status of Research Progress

1: Research has progressed more than it was originally planned.

Reason

当初の計画通りに、テンソルスパース表現法を用いた時相間の共起を考慮した時空間特徴抽出法を提案し、多時相CT画像を用いた肝腫瘍性病変の分類精度ならびに類似症例の検索精度を向上させた。それに加えて、近年注目されている深層学習法を用いた肝臓腫瘍の分類と類似症例検索法を開発した。より高精度な分類と検索ができるようになった。

Strategy for Future Research Activity

最終年度の令和2年度においては、以下の計画で研究を推進していく。
(1) これまでCT画像を対象に研究を行なってきたが、肝臓腫瘍の鑑別にMRI画像がより豊富な情報を持っているので、多時相MRI画像データベースを構築すると共に、MRI画像を用いた肝腫瘍性病変の診断支援法を開発する。
(2) これまでの手法をベースに、肝臓腫瘍の計算機支援システムを開発する。肝臓腫瘍の分類(鑑別)システムと類似肝臓腫瘍検索システムの両方を開発する。
(3) 悪性肝臓ガン(HCC: Hepatocellular Carcinoma)に対して、治療後に早期に再発するかどうかの予測法を開発する。

Report

(2 results)
  • 2019 Annual Research Report
  • 2018 Annual Research Report

Research Products

(36 results)

All 2020 2019 2018 Other

All Int'l Joint Research (2 results) Journal Article (8 results) (of which Int'l Joint Research: 7 results,  Peer Reviewed: 8 results,  Open Access: 8 results) Presentation (25 results) (of which Int'l Joint Research: 25 results,  Invited: 8 results) Funded Workshop (1 results)

  • [Int'l Joint Research] 浙江大学(Zhejiang Univ.)(中国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] 浙江大学/東北大学(中国)

    • Related Report
      2018 Annual Research Report
  • [Journal Article] Tensor-based Sparse Representations of Multi-phase Medical Images for Classification of Focal Liver Lesions2020

    • Author(s)
      Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen
    • Journal Title

      Pattern Recognition Letter

      Volume: 印刷中 Pages: 207-215

    • DOI

      10.1016/j.patrec.2019.01.001

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Comparison of Machine Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma2019

    • Author(s)
      Panyanat Aonpong, Qingqin Chen, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, and Yen-Wei Chen
    • Journal Title

      Journal of Image and Graphics

      Volume: 7 Pages: 117-125

    • DOI

      10.18178/joig.7.4.117-125

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Preliminary Study of Kinect-Based Real-Time Hand Gesture Interaction Systems for Touchless Visualizations of Hepatic Structures in Surgery2019

    • Author(s)
      Jiaqing LIU, Tomoko TATEYAMA, Yutaro IWAMOTO, Yen-Wei CHEN
    • Journal Title

      Medical Imaging and Information Sciences

      Volume: 36 Issue: 3 Pages: 128-135

    • DOI

      10.11318/mii.36.128

    • NAID

      130007723852

    • ISSN
      0910-1543, 1880-4977
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Classification and Quantification of Emphysema Using a Multi-Scale Residual Network2019

    • Author(s)
      Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen. Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto and Yen-Wei Chen
    • Journal Title

      IEEE Journal of Biomedical and Health Informatics

      Volume: 23 Pages: 2526-2536

    • DOI

      10.1109/jbhi.2018.2890045

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Accurate point correspondences using a modified coherent point drift algorithm2019

    • Author(s)
      Mahdi Delavari, Amir Hossein Foruzan, Yen-Wei Chen
    • Journal Title

      Biomedical Signal Processing and Control

      Volume: 52 Pages: 429-444

    • DOI

      10.1016/j.bspc.2017.02.009

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Hybrid Method Combining Superpixel, Random Walk and Active Contour Model for Fast and Accurate Liver Segmentation,2018

    • Author(s)
      Ye Yuan, Yen-Wei Chen, Chunhua Dong, Hai Yu and Zhiliang Zhu
    • Journal Title

      Computeried Medical Imaging and Graphics

      Volume: Vol.70 Pages: 119-134

    • DOI

      10.1016/j.compmedimag.2018.08.012

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Automatic Liver Segmentation Using U-Net with Wasserstein GANs2018

    • Author(s)
      Yuki Enokiya, Yutaro Iwamoto, Yen-Wei Chen, and Xian-Hua Han
    • Journal Title

      Journal of Image and Graphics

      Volume: 6 Pages: 152-159

    • DOI

      10.18178/joig.6.2.152-159

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images2018

    • Author(s)
      Xu Yingying、Lin Lanfen、Hu Hongjie、Wang Dan、Zhu Wenchao、Wang Jian、Han Xian-Hua、Chen Yen-Wei
    • Journal Title

      International Journal of Computer Assisted Radiology and Surgery

      Volume: 13 Pages: 151-164

    • DOI

      10.1007/s11548-017-1671-9

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Tensor Sparse Coding for Multi-Dimensional Medical Image Analysis2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2nd International Conference on Digital Medicine and Image Processing (DMIP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Tensor-based Multilinear Subspace Learning for Multi-Dimensional Biomedical Image Analysis2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2019 2nd International Conference on Image and Video Processing (ICIVP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Computational Anatomy, Artificial Intelligence and Virtual Reality in Medicine and Healthcare2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      The 7th IEEE International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Artificial Intelligence in Multi-Dimensional Medical Image Analysis2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2019 2nd International Conference on Signal Processing and Machine Learning (SPML2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images2019

    • Author(s)
      Jian Song, Sihang Zhu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
    • Organizer
      ICNC-FSKD 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior2019

    • Author(s)
      Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
    • Organizer
      MICCAI 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images2019

    • Author(s)
      Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
    • Organizer
      MICCAI 2019 workshop (DART/MIL3ID)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images2019

    • Author(s)
      Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen
    • Organizer
      2019 IEEE International Conference on Image Processing (IEEE ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images2019

    • Author(s)
      Xiao Chen, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
    • Organizer
      2019 IEEE International Conference on Image Processing (IEEE ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Improved Hand Gesture Recognition with Two-Stage Convolutional Neural Networks Using a Hand Color Image and Its Pseudo-Depth Image2019

    • Author(s)
      Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen
    • Organizer
      2019 IEEE International Conference on Image Processing (IEEE ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using a Multi-channel & Multi-scale CNN2019

    • Author(s)
      Yoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, and Yen-Wei Chen
    • Organizer
      The 41st International Engineering in Medicine and Biology Conference (EMBC2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data2019

    • Author(s)
      Weibin WANG, Qingqing CHEN, Yutaro IWAMOTO, Xianhua HAN, Qiaowei ZHANG, Hongjie HU, Lanfen LIN, Yen-Wei CHEN
    • Organizer
      The 41st International Engineering in Medicine and Biology Conference (EMBC2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Computational Anatomy and Artificial Intelligence in Medical Imaging2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      Smart Digital Future 2018 (SDF2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Deep Learning for Medical Image Analysis2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      18th Asia Simulation Conference (AsiaSim2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Computational Anatomy and Artificial Intelligence in Medical Imaging2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2018 International Conf. on Digital Medicine and Image Processing (DMIP2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Medical Image Analysis with Deep Learning2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2018 3rd International Conference on Smart Computing and Informatics (SCI2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-Phase CT Images2018

    • Author(s)
      Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen
    • Organizer
      21st International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-Phase CT Images2018

    • Author(s)
      Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, and Yen-Wei Chen
    • Organizer
      Pacific-Rim Conference on Multimedia (PCM) 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions2018

    • Author(s)
      Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yen-Wei Chen
    • Organizer
      The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of Focal Liver Lesions Using Deep Learning with Fine-tuning2018

    • Author(s)
      Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu and Qiaowei Zhang
    • Organizer
      International Conference on Digital Medicine and Image Processing (DMIP2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks2018

    • Author(s)
      Titinunt Kitrungrotsakul,Yutaro Iwamoto, Xian-Hua Han, Xiong Wei, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen
    • Organizer
      International Conference on Innovation in Medicine and Healthcare (InMed2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Abdominal Organs Segmentation based on Multi-path Fully Convolutional Network and Random Forests2018

    • Author(s)
      Yangzi Yang,Huiyan Jiang, Yen-Wei Chen
    • Organizer
      International Conference on Innovation in Medicine and Healthcare (InMed2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of Pulmonary Emphysema in CT Images Based on Multi-scale Deep Convolutional Neural Networks2018

    • Author(s)
      Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yen-Wei Chen
    • Organizer
      2018 IEEE International Conference on Image Processing (IEEE ICIP 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition2018

    • Author(s)
      Xian-Hua Han, Jiande Sun, Lanfen Lin and Yen-Wei Chen
    • Organizer
      9th International Workshop on Machine Learning in Medical Imaging (MLMI2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of Liver Tumor Candidates in Multi-Phase CT Images Using Multi-Channel and Multi-Scale CNN2018

    • Author(s)
      Yoshihiro Todoroki, Yutaro Iwamoto1, Lanfen Lin, Hongjie Hu, and Yen-Wei Chen
    • Organizer
      The 14th Joint Workshop on Machine Perception and Robotics (MPR2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Funded Workshop] RU-DUT Joint Student Workshop on Advanced ICT2019

    • Related Report
      2018 Annual Research Report

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Published: 2018-04-23   Modified: 2021-01-27  

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