研究者詳細 - 森　健策

論文 - 森　健策

分割表示 1,841 件中 861 - 880 件目／全件表示 >>

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted-subspatial probabilistic atlases

Kenichi Karasawa, Masahiro Oda, Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, and Kensaku Mori

SPIE Medical Imaging 2015 頁： accepted 2015年2月

医用画像処理と3Dプリンタによる臓器モデル生成と診断治療支援への応用

森健策

電子情報通信学会　2015年総合大会プログラム頁： CS-4-8, p.65 2015年2月

3Dプリンティングの現状と将来展望:医用画像処理と3Dプリンタによる臓器実体モデル作成とその利用'

森健策

光技術コンタクト 53 巻 ( 2 ) 頁： 20-27 2015年2月

A Model-free Method for Annotating on Vascular Structure in Volume Rendered Images

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

Proceedings of SPIE 9415 巻頁： 941528-1-8 2015年2月

Development And Clinical Application of Surgical Navigation System for Laparoscopic Hepatectomy

Yuichiro Hayashi, Tsuyoshi Igami, Tomoaki Hirose, Masato Nagino, and Kensaku Mori

Proceedings of SPIE 9715 巻頁： 94151X-1-6 2015年2月

Automated Torso Organ Segmentation from 3D CT Images using Structured Perceptron and Dual Decomposition

Yukitaka Nimura, Yuichiro Hayashi, Kazunari Misawa, and Kensaku Mori

Proceedings of SPIE 9414 巻頁： 94143L-1-6 2015年2月

Adaptive marker-free registration using a multiple point strategy for real-time and robust endoscope electromagnetic navigation 査読有り

Xiongbiao Luo, Ying Wan, Xiangjian He, and Kensaku Mori

Computer Methods and Programs in Biomedicine 118 巻 ( 2 ) 2015年2月

Automated branching pattern report generation for laparoscopic surgery assistance

Masahiro Oda, Tetsuro Matsuzaki, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

SPIE Medical Imaging 2015 頁： accepted 2015年2月

Adaptive marker-free registration using a multiple point strategy for real-time and robust endoscope electromagnetic navigation 査読有り

Luo, XB; Wan, Y; He, XJ; Mori, K

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 118 巻 ( 2 ) 頁： 147 - 157 2015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：Computer Methods and Programs in Biomedicine

Registration of pre-clinical images to physical space is indispensable for computer-assisted endoscopic interventions in operating rooms. Electromagnetically navigated endoscopic interventions are increasingly performed at current diagnoses and treatments. Such interventions use an electromagnetic tracker with a miniature sensor that is usually attached at an endoscope distal tip to real time track endoscope movements in a pre-clinical image space. Spatial alignment between the electromagnetic tracker (or sensor) and pre-clinical images must be performed to navigate the endoscope to target regions. This paper proposes an adaptive marker-free registration method that uses a multiple point selection strategy. This method seeks to address an assumption that the endoscope is operated along the centerline of an intraluminal organ which is easily violated during interventions. We introduce an adaptive strategy that generates multiple points in terms of sensor measurements and endoscope tip center calibration. From these generated points, we adaptively choose the optimal point, which is the closest to its assigned the centerline of the hollow organ, to perform registration. The experimental results demonstrate that our proposed adaptive strategy significantly reduced the target registration error from 5.32 to 2.59 mm in static phantoms validation, as well as from at least 7.58. mm to 4.71. mm in dynamic phantom validation compared to current available methods.

DOI： 10.1016/j.cmpb.2014.11.008

Web of Science

Scopus

PubMed

A Model-free Method for Annotating on Vascular Structure in Volume Rendered Images

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

Proceedings of SPIE 9415 巻頁： 941528-1-8 2015年2月

3Dプリンティングの現状と将来展望:医用画像処理と3Dプリンタによる臓器実体モデル作成とその利用'

森健策

光技術コンタクト 53 巻 ( 2 ) 頁： 20-27 2015年2月

Automated Organ Segmentation from CT Images using Structure Output Learning

Yukitaka Nimura, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

2015 Joint Conference of the International Workshop on Advanced Image Technology (IWAIT) and the International Forum on Medical Imaging in Asia (IFMIA) 頁： PS.1, 616 2015年1月

Pancreas segmentation from abdominal CT volumetric images using hierarchically-weighted probabilistic atlases

Kenichi Karasawa, Masahiro Oda, Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori

2015 Joint Conference of the International Workshop on Advanced Image Technology (IWAIT) and the International Forum on Medical Imaging in Asia (IFMIA) 頁： PS.1, 617 2015年1月

A Model-free Method for Annotating on Vascular Structure in Volume Rendered Images 査読有り

He, W; Li, YF; Shi, WL; Miao, Y; He, F; Yan, F; Yang, HM; Zhang, HM; Mori, K; Jiang, ZG

MEDICAL IMAGING 2015: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING 9415 巻 2015年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Progress in Biomedical Optics and Imaging Proceedings of SPIE

The precise annotation of vessel is desired in computer-assisted systems to help surgeons identify each vessel branch. A method has been reported that annotates vessels on volume rendered images by rendering their names on them using a two-pass rendering process. In the reported method, however, cylinder surface models of the vessels should be generated for writing vessels names. In fact, vessels are not actual cylinders, so the surfaces of the vessels cannot be simulated by such models accurately. This paper presents a model-free method for annotating vessels on volume rendered images by rendering their names on them using the two-pass rendering process: surface rendering and volume rendering. In the surface rendering process, docking points of vessel names are estimated by using such properties as centerlines, running directions, and vessel regions which are obtained in preprocess. Then the vessel names are pasted on the vessel surfaces at the docking points. In the volume rendering process, volume image is rendered using a fast volume rendering algorithm with depth buffer of image rendered in the surface rendering process. Finally, those rendered images are blended into an image as a result. In order to confirm the proposed method, a visualizing system for the automated annotation of abdominal arteries is performed. The experimental results show that vessel names can be drawn on the corresponding vessel in the volume rendered images correctly. The proposed method has enormous potential to be adopted to annotate other organs which cannot be modeled using regular geometrical surface.

DOI： 10.1117/12.2081610

Web of Science

Scopus

Automated branching pattern report generation for laparoscopic surgery assistance 査読有り

Oda, M; Matsuzaki, T; Hayashi, Y; Kitasaka, T; Misawa, K; Mori, K

MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS 9414 巻 2015年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Progress in Biomedical Optics and Imaging Proceedings of SPIE

This paper presents a method for generating branching pattern reports of abdominal blood vessels for laparoscopic gastrectomy. In gastrectomy, it is very important to understand branching structure of abdominal arteries and veins, which feed and drain specific abdominal organs including the stomach, the liver and the pancreas. In the real clinical stage, a surgeon creates a diagnostic report of the patient anatomy. This report summarizes the branching patterns of the blood vessels related to the stomach. The surgeon decides actual operative procedure. This paper shows an automated method to generate a branching pattern report for abdominal blood vessels based on automated anatomical labeling. The report contains 3D rendering showing important blood vessels and descriptions of branching patterns of each vessel. We have applied this method for fifty cases of 3D abdominal CT scans and confirmed the proposed method can automatically generate branching pattern reports of abdominal arteries.

DOI： 10.1117/12.2082488

Web of Science

Scopus

3Dプリンタにより造形した3次元肝臓モデルを用いた肝臓がん外科手術支援の検討招待有り査読有り Open Access

中村嘉彦, 林雄一郎, 小田昌宏, 廣瀬友昭, 伊神剛, 梛野正人, 森健策

生体医工学 53 巻頁： S205_02 - S205_02 2015年

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本生体医工学会

In liver cancer surgery, it is crucial to understand the internal structure of the liver, such as the position of tumors, blood vessels and their relationship. 3-dimensional rendering based on pre-operative CT volumes is one of methods for assisting a surgeon to understand such information. However, it is still not enough to achieve intuitive understanding. To solve such problems, this paper demonstrates a method to fabricate 3D liver model from patient-specific CT volumes. This model reconstructs internal structures of the liver to enable intuitive understanding of anatomical structure. Figure shows an example of the 3D liver model and a scene of 3D liver model utilization in OR.

DOI： 10.11239/jsmbe.53.S205_02

Open Access

CiNii Research

3D Printed Liver Models for Diagnostic and Surgical Assistance: How to Prepare Data, Print and Utilize?

Kensaku Mori, Yoshihiko Nakamura, Yuichiro Hayashi, Masahiro Oda, Tsuyoshi Igami, Tomoaki Hirose

RSNA 2014 INE025-b 巻頁： 312 2014年12月

Application of a Three-dimensional Print of a Liver in Hepatectomy for Small Tumors Invisible by Intraoperative Ultrasonography: Preliminary Experience

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

World Journal of Surgery 38 巻 ( 12 ) 頁： 3163-3166 2014年12月

Ⅲ計算解剖学応用システム開発：計画班からの報告　2.計算解剖モデルに基づく診断・治療の融合的支援'

森健策

インナービジョン 2014年11月号 29 巻 ( 11 ) 頁： 22-25 2014年11月

Ⅵ計算解剖学：ワーキンググループ(WG)からの報告ー国際シンポジウムの報告も含めて

森健策, 清水昭伸, 増谷佳孝, 佐藤嘉伸

インナービジョン 2014年11月号 29 巻 ( 11 ) 頁： 22-25 2014年11月

　前のページ - 次のページ　

<森 健策>

論文 - 森 健策

<森　健策>

論文 - 森　健策