Faculty Profiles - MORI, Kensaku

Papers - MORI, Kensaku

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Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approach

Yoshihiko Nakamura, Yukitaka Nimura, Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori

Proceedings of SPIE Medical Imaging 2016 Vol. 9785 2016.3

Position-based adjustment of landmark based correspondence finding in electromagnetic sensor-based colonoscope tracking method

Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, and Kensaku Mori

Proceedings of SPIE Medical Imaging 2016 Vol. 9786 2016.3

管腔構造に対する自動解剖名称アノテーション

森健策

121回日本解剖学会総会・全国学術集会講演プログラム・抄録集 page： 93 2016.3

腹部動脈の血管名自動対応付けにおける分岐パターンを考慮した機械学習の利用の検討

張暁楠, 加賀城充, 小田昌宏, 三澤一成, 森健策

電子情報通信学会　2016年総合大会プログラム Vol. D-16-11 page： 81 2016.3

医療分野における3Dプリンタの応用

森健策

宙舞 ( 78 ) page： 2-6 2016.2

エキスパートによるRSNA 2015ベストリポート : 3Dプリンタ，ユーザーインターフェイス等の動向を中心に

森健策

インナービジョン 2016年2月号 Vol. 31 ( 2 ) page： 41-42 2016.2

気管支構造情報を用いた気管支内腔壁面への気管支枝名自動表示の精度向上

山本貴洋, 北坂孝幸, 二村幸孝, 末永康仁, 森健策

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 13-18 2016.1

条件付き確率場を利用した腹部動脈および肝門脈系の血管名自動対応付け

加賀城充, 二村幸孝, 林雄一郎, 小田昌宏, 北坂孝幸, 三澤一成, 森健策

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 19-24 2016.1

マルチスケール画像処理のためのマイクロCT画像データベース構築多元計算解剖学における画像処理アルゴリズム開発のためのデータベース構築

森健策, 長柄快, 小田昌宏

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 165-170 2016.1

MICCAI2015参加報告

花岡昇平, 唐澤健一. 本谷秀堅. 周向栄. 平野靖, 小田昌宏, 増谷佳孝, 清水昭伸, 森健策

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 177-182 2016.1

Dual-energy CT画像からの特徴抽出に基づく肝内胆管領域自動抽出

陳鵬飛, 田中寛, 小田昌宏, 林雄一郎, 伊神剛, 梛野正人, 森健策

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 187-192 2016.1

解剖学的ランドマークに基づく自動臓器局所化とその膵臓セグメンテーションへの応用

唐澤健一, 小田昌宏, 北坂孝幸, 花岡昇平, 林雄一郎, 二村幸孝, 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) Vol. 115 ( 401 ) page： 215-220 2016.1

スケールシームレスナビゲーションのためのマルチスケールレジストレーション法の開発マイクロCT像を用いた基礎的検討

長柄快, 中村彰太, 小田昌宏, 北坂孝幸, 本間裕敏, 高畠博嗣, 森雅樹, 名取博, 森健策

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 351-356 2016.1

腹腔鏡下手術ナビゲーションシステムにおける臓器表面形状を用いた術中の非剛体レジストレーションに関する検討

森田千尋, 林雄一郎, 小田昌宏, 三澤一成, 森健策

電子情報通信学会技術研究報告(MI) Vol. 115 ( 401 ) page： 357-362 2016.1

Accurate Airway Segmentation Based on Intensity Structure Analysis and Graph-cut

Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Kensaku Mori

MEDICAL IMAGING 2016: IMAGE PROCESSING Vol. 9784 2016

Language：English Publishing type：Research paper (international conference proceedings) Publisher：SPIE-INT SOC OPTICAL ENGINEERING

This paper presents a novel airway segmentation method based on intensity structure analysis and graph-cut. Airway segmentation is an important step in analyzing chest CT volumes for computerized lung cancer detection, emphysema diagnosis, asthma diagnosis, and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3-D airway tree structure from a CT volume is quite challenging. Several researchers have proposed automated algorithms basically based on region growing and machine learning techniques. However these methods failed to detect the peripheral bronchi branches. They caused a large amount of leakage. This paper presents a novel approach that permits more accurate extraction of complex bronchial airway region. Our method are composed of three steps. First, the Hessian analysis is utilized for enhancing the line-like structure in CT volumes, then a multiscale cavity-enhancement filter is employed to detect the cavity-like structure from the previous enhanced result. In the second step, we utilize the support vector machine (SVM) to construct a classifier for removing the FP regions generated. Finally, the graph-cut algorithm is utilized to connect all of the candidate voxels to form an integrated airway tree. We applied this method to sixteen cases of 3D chest CT volumes. The results showed that the branch detection rate of this method can reach about 77.7% without leaking into the hng parenchyma areas.

DOI： 10.1117/12.2216670

Web of Science

Scopus

An Improved Robust Hand-Eye Calibration for Endoscopy Navigation System

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

MEDICAL IMAGING 2016: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING Vol. 9786 2016

Language：English Publishing type：Research paper (international conference proceedings) Publisher：SPIE-INT SOC OPTICAL ENGINEERING

Endoscopy is widely used in clinical application, and surgical navigation system is an extremely important way to enhance the safety of endoscopy. The key to improve the accuracy of the navigation system is to solve the positional relationship between camera and tracking marker precisely. The problem can be solved by the hand eye calibration method based on dual quaternions. However, because of the tracking error and the limited motion of the endoscope, the sample motions may contain some incomplete motion samples. Those motions will cause the algorithm unstable and inaccurate. An advanced selection rule for sample motions is proposed in this paper to improve the stability and accuracy of the methods based on dual quaternion. By setting the motion filter to filter out the incomplete motion samples, finally, high precision and robust result is achieved. The experimental results show that the accuracy and stability of camera registration have been effectively improved by selecting sample motion data automatically.

DOI： 10.1117/12.2216910

Web of Science

Scopus

Surgical and Radiological Studies on the Length of the Hepatic Ducts Reviewed

Tomoaki Hirose, Tsuyoshi Igami, Tomoki Ebata, Yukihiro Yokoyama, Gen Sugawara, Takashi Mizuno, Kensaku Mori, Masahiko Ando, Masato Nagino

World Journal of Surgery Vol. 39 ( 12 ) 2015.12

Pneumoperitoneum simulation based on mass-spring-damper models for laparoscopic surgical planning Reviewed

Yukitaka Nimura, Jia Di Qu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Makoto Hashizume, Kazunari Misawa, and Kensaku Mori

Journal of Medical Imaging Vol. 2 ( 4 ) 2015.12

New Tools for Analysis of Peripheral Lung Structures by Virtual Microscopy and Three Dimensional Printed out Scale up Tangible Model for Realization by Micro Focused CT Data of the Lung Specimen

Hiroshi Natori, Hirotsugu Takabatake, Kensaku Mori, Masahiro Oda, Masaki Mori, Hirotoshi Homma, and Hiroyuki Koba

RSNA 2015 (Radiological Society of North America) Scientific Assembly and Annual Meeting PROGRAM IN BRIEF page： 278 2015.12

A Study on Improvement of Airway Segmentation using Hybrid Method

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

The 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015) page： 225-229 2015.11

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Papers - MORI, Kensaku