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論文 - 森　健策

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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 11 巻 ( 1 ) 頁： S265-S266 2016年6月

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 11 巻 ( 1 ) 頁： S46-S47 2016年6月

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 11 巻 ( 1 ) 頁： S169-S171 2016年6月

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

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

International Journal of Computer Assisted Radiology Surgery 11 巻 ( 5 ) 頁： 827-836 2016年5月

Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer 査読有り

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

International Journal of Computer Assisted Radiology Surgery 11 巻 ( 5 ) 頁： 837-845 2016年5月

A Computer-Aided Diagnosis System for Endocytoscopy With Narrow-Band Imaging Provides Highly Accurate Diagnosis 査読有り

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 83 巻 ( 5 ) 頁： AB287 - AB288 2016年5月

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

Hayashi, Y; Misawa, K; Oda, M; Hawkes, DJ; Mori, K

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 11 巻 ( 5 ) 頁： 827 - 836 2016年5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: 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 査読有り

Hayashi, Y; Misawa, K; Hawkes, DJ; Mori, K

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 11 巻 ( 5 ) 頁： 837 - 845 2016年5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: 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 4 巻頁： 57-64 2016年4月

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 54 巻 ( 1 ) 頁： 97 2016年4月

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 9784 巻 2016年3月

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 9785 巻 2016年3月

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 9785 巻 2016年3月

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 9786 巻 2016年3月

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・抄録集頁： 93 2016年3月

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 D-16-11 巻頁： 81 2016年3月

医療分野における3Dプリンタの応用

森健策

宙舞 ( 78 ) 頁： 2-6 2016年2月

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 31 巻 ( 2 ) 頁： 41-42 2016年2月

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) 115 巻 ( 401 ) 頁： 13-18 2016年1月

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) 115 巻 ( 401 ) 頁： 19-24 2016年1月

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