研究者詳細 - 森　健策

論文 - 森　健策

分割表示 1,775 件中 601 - 620 件目／全件表示 >>

Development of an automatic producing cholangiography procedure reconstructed from portal phase multidetector-row computed tomography images: Preliminary experience 査読有り

Tomoaki Hirose, Tsuyoshi Igami, Kusuto Koga, Yuichiro Hayashi, Tomoki Ebata, Yukihiro, Yokoyama, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Kensaku Mori, Masato Nagino

Surgery Today 47 巻 ( 3 ) 頁： 365-374 2017年3月

Supervoxel classification forests for estimating pairwise image correspondences 査読有り

Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker

Pattern Recognition 63 巻頁： 561-569 2017年3月

An improved method for pancreas segmentation using SLIC superpixels and interactive region merging

Liyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Fei He, Wei He, Yanfang Li, Fei Yan, Huimao Zhang, Kensaku Mori, Zhengang Jiang

Proceedings of SPIE 10134 巻頁： 101343H-1-101343H-12 2017年2月

Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval

Qingliang Li, Weili SHI, Huamin Yang, Huimao Zhang, Tao CHEN, Kensaku Mori, Guoxin LI, Zhengang Jiang

Proceedings of SPIE 10134 巻頁： 101342W-1-101342W-8 2017年2月

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes

Hirohisa Oda, Kanwal Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori

Proceedings of SPIE 10134 巻頁： 101341D-1-101341D-12 2017年2月

Extracellular matrix directions estimation of the heart on microfocus X-ray CT volumes

Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Kensaku Mori

Proceedings of SPIE 10137 巻頁： 101370M-1-101370M-9 2017年2月

Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume 査読有り

Meng, Q; Kitasaka, T; Nimura, Y; Oda, M; Ueno, J; Mori, K

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 12 巻 ( 2 ) 頁： 245 - 261 2017年2月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：International Journal of Computer Assisted Radiology and Surgery

Purpose: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3D airway tree structure from a CT volume is quite a challenging task. Several researchers have proposed automated airway segmentation algorithms basically based on region growing and machine learning techniques. However, these methods fail to detect the peripheral bronchial branches, which results in a large amount of leakage. This paper presents a novel approach for more accurate extraction of the complex airway tree. Methods: This proposed segmentation method is composed of three steps. First, Hessian analysis is utilized to enhance the tube-like structure in CT volumes; then, an adaptive multiscale cavity enhancement filter is employed to detect the cavity-like structure with different radii. In the second step, support vector machine learning will be utilized to remove the false positive (FP) regions from the result obtained in the previous step. Finally, the graph-cut algorithm is used to refine the candidate voxels to form an integrated airway tree. Results: A test dataset including 50 standard-dose chest CT volumes was used for evaluating our proposed method. The average extraction rate was about 79.1 % with the significantly decreased FP rate. Conclusion: A new method of airway segmentation based on local intensity structure and machine learning technique was developed. The method was shown to be feasible for airway segmentation in a computer-aided diagnosis system for a lung and bronchoscope guidance system.

DOI： 10.1007/s11548-016-1492-2

Web of Science

Scopus

PubMed

Extraction of membrane structure in eyeball from MR volumes

Masahiro Oda, Kin Taichi, Kensaku Mori

Proceedings of SPIE 10137 巻頁： 101371S-1-101371S-6 2017年2月

A study on surgical field retrieval for intelligent laparotomy video archive system

Takayuki Kitasaka, Yuki Kondo, Yuri Kimura, Yuki Takanashi, Hiroaki Sawano, Yasuhito Suenaga, Kazunari Misawa, and Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) 頁： 327-328 2017年1月

GPU Implementation of SLIC Supervoxel Oversegmentation

Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Julia A. Schnabel, and Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) 頁： 266-268 2017年1月

A study on surgical field retrieval for intelligent laparotomy video archive system

Takayuki Kitasaka, Yuki Kondo, Yuri Kimura, Yuki Takanashi, Hiroaki Sawano, Yasuhito Suenaga, Kazunari Misawa, Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) 頁： 327-328 2017年1月

Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow

Qier Meng, Takayuki Kitasaka, Masahiro Oda, and Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) 頁： 192-195 2017年1月

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray microtomography of Lung Pathology

Holger Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, and Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) 頁： 54-56 2017年1月

Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow

Qier Meng, Takayuki Kitasaka, Masahiro Oda, Kensaku Mori

International Forum on Medical Imaging in Asia (IFMIA) 頁： 192-195 2017年1月

Structured Random Forestを用いた3次元腹部CT像からのリンパ節自動検出

寳珠山裕, Holger Roth, 小田昌宏,　中村嘉彦, 三澤一成, 藤原　道隆, 森健策

電子情報通信学会技術研究報告(MI) 116 巻 ( 393 ) 頁： 23-28 2017年1月

MISTライブラリのためのGPUプログラミング

小田紘久, 小田昌宏, 北坂孝幸, 森健策

電子情報通信学会技術研究報告(MI) 116 巻 ( 393 ) 頁： 133-136 2017年1月

Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project

Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Min Suk Chung, Kensaku Mori

MI2016-119 116 巻 ( 393 ) 頁： 191-194 2017年1月

Influence of Voxel-Connection Structure in Organ Segmentation Based on Conditional Random Field

Ying Yang, Masahiro Oda, Kazunari Misawa, Daniel Rueckert, Kensaku Mori

MI2016-112 116 巻 ( 393 ) 頁： 157-162 2017年1月

MICCAI 2016参加報告

小田昌宏, 宮内翔子, 諸岡健一, 周向栄, 増谷佳孝, 中口俊哉, 井宮淳, 森健策

電子情報通信学会技術研究報告(MI) 116 巻 ( 393 ) 頁： 185-190 2017年1月

3Dプリンタ・ユーザーインターフェイス等の最新動向

森健策

インナービジョン 2017年2月号 32 巻 ( 2 ) 頁： 44-45 2017年1月

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