Faculty Profiles - MORI, Kensaku

Papers - MORI, Kensaku

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Port placement planning assistance for laparo - scopic gastrectomy based on anatomical structure analysis

Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 2016 Vol. 11 ( 1 ) page： S265-S266 2016.6

Segmentation method of abdominal arteries from CT volumes utilizing intensity transition along arteries

Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino, Kensaku Mori

International Journal of Computer Assisted Radiology and Surgery 2016 Vol. 11 ( 1 ) page： S46-S47 2016.6

Scale-seamless registration and visualization for micro-computational anatomy

Kensaku Mori, Kai Nagara, Shota Nakamura, Masahiro Oda

International Journal of Computer Assisted Radiology and Surgery 2016 Vol. 11 ( 1 ) page： S169-S171 2016.6

Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer Reviewed

Yuichiro Hayashi, Kazunari Misawa, Masahiro Oda, David J. Hawkes, Kensaku Mori

International Journal of Computer Assisted Radiology Surgery Vol. 11 ( 5 ) page： 827-836 2016.5

Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer Reviewed

Yuichiro Hayashi, Kazunari Misawa, David J. Hawkes, Kensaku Mor

International Journal of Computer Assisted Radiology Surgery Vol. 11 ( 5 ) page： 837-845 2016.5

A Computer-Aided Diagnosis System for Endocytoscopy With Narrow-Band Imaging Provides Highly Accurate Diagnosis Reviewed

Misawa Masashi, Kudo Shin-ei, Mori Yuichi, Kataoka Shinichi, Maeda Yasuharu, Sako Tomoya, Watanabe Mayuko, Kudo Toyoki, Hisayuki Tomokazu, Wakamura Kunihiko, Hayashi Takemasa, Miyachi Hideyuki, Katagiri Atsushi, Ishida Fumio, Inoue Haruhiro, Nimura Yukitaka, Mori Kensaku

GASTROINTESTINAL ENDOSCOPY Vol. 83 ( 5 ) page： AB287 - AB288 2016.5

Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer Reviewed

Yuichiro Hayashi, Kazunari Misawa, Masahiro Oda, David J. Hawkes, Kensaku Mori

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY Vol. 11 ( 5 ) page： 827 - 836 2016.5

Language：English Publishing type：Research paper (scientific journal) Publisher：SPRINGER HEIDELBERG

Purpose Knowledge of the specific anatomical information of a patient is important when planning and undertaking laparoscopic surgery due to the restricted field of view and lack of tactile feedback compared to open surgery. To assist this type of surgery, we have developed a surgical navigation system that presents the patient's anatomical information synchronized with the laparoscope position. This paper presents the surgical navigation system and its clinical application to laparoscopic gastrectomy for gastric cancer.
Methods The proposed surgical navigation system generates virtual laparoscopic views corresponding to the laparoscope position recorded with a three-dimensional (3D) positional tracker. The virtual laparoscopic views are generated from preoperative CT images. A point-based registration aligns coordinate systems between the patient's anatomy and image coordinates. The proposed navigation system is able to display the virtual laparoscopic views using the registration result during surgery.
Results We performed surgical navigation during laparoscopic gastrectomy in 23 cases. The navigation system was able to present the virtual laparoscopic views in synchronization with the laparoscopic position. The fiducial registration error was calculated in all 23 cases, and the average was 14.0 mm (range 6.1-29.8).
Conclusion The proposed surgical navigation system can provide CT-derived patient anatomy aligned to the laparoscopic view in real time during surgery. This system enables accurate identification of vascular anatomy as a guide to vessel clamping prior to total or partial gastrectomy.

DOI： 10.1007/s11548-015-1293-z

Web of Science

Scopus

PubMed

Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer Reviewed

Yuichiro Hayashi, Kazunari Misawa, David J. Hawkes, Kensaku Mori

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY Vol. 11 ( 5 ) page： 837 - 845 2016.5

Language：English Publishing type：Research paper (scientific journal) Publisher：SPRINGER HEIDELBERG

Purpose A surgical navigation system supports the comprehension of anatomical information during surgery. Patient-to-image registration is the alignment process between CT volume and patient coordinate systems. Achieving accurate registration in the surgical navigation of laparoscopic surgery is very challenging due to soft tissue deformation. This paper presents a new patient-to-image registration method based on internal anatomical landmarks for improving registration accuracy in the surgical navigation of laparoscopic gastrectomy for gastric cancer.
Methods Our proposed registration method progressively utilizes internal anatomical landmarks. In laparoscopic gastrectomy for gastric cancer, the surgeon cuts the blood vessels around the stomach. The positions of the cut vessels are sequentially used as fiducials for registration during surgery. The proposed method uses a weighted point-based registration method for computing the transformation matrix using the fiducials both on the body surface and on the blood vessels. When a blood vessel is cut during surgery, the proposed progressive registration method measures the cut vessel's position and computes a transformation matrix by adding the cut vessel as a fiducial.
Results We applied our proposed progressive registration method using the positional information of the blood vessels acquired during laparoscopic gastrectomy in 20 cases. We evaluated it using target registration error in four blood vessels. The average target registration error in the four blood vessels was 12.6 mm and ranged from 2.1 to 32.9 mm.
Conclusion Since the proposed progressive registration can reduce registration error, our proposed method is very useful for the surgical navigation of laparoscopic gastrectomy. Our proposed progressive registration method might increase the accuracy of surgical navigation in laparoscopic gastrectomy.

DOI： 10.1007/s11548-015-1346-3

Web of Science

Scopus

PubMed

Ｘ線ＣＴやＭＲＩにおける3Ｄ画像

森健策

メディカル＆イメージング MOOK Vol. 4 page： 57-64 2016.4

多元計算解剖モデルの体系的開発 Sytematic Development of Multidisciplinary Computational Anatomy Models 腫瘍マルチスケール時空間モデリング

森健策

第55回日本生体医工学会大会プログラム・抄録集 Vol. 54 ( 1 ) page： 97 2016.4

Precise renal artery segmentation for estimation of renal vascular dominant regions

Chenglong Wang, Mitsuru Kagajo, Yoshihiko Nakamura, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, and Kensaku Mori

Proceedings of SPIE Medical Imaging 2016 Vol. 9784 2016.3

Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes

Hirohisa Oda, Yukitaka Nimura, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori

Proceedings of SPIE Medical Imaging 2016 Vol. 9785 2016.3

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

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Papers - MORI, Kensaku