Faculty Profiles - MORI, Kensaku

Papers - MORI, Kensaku

Division display 861 - 880 of about 1,841 ／ All the affair displays >>

Connection method of separated luminal regions of intestine from CT volumes

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Osamu Watanabe, Takafumi Ando, Yoshiki Hirooka, Hidemi Goto, and Kensaku Mori

SPIE Medcal. Imaging 2015 page： accepted 2015.2

Automated branching pattern report generation for laparoscopic surgery assistance

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

SPIE Medical Imaging 2015 page： accepted 2015.2

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 Vol. 53 ( 2 ) page： 20-27 2015.2

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 Vol. 9415 page： 941528-1-8 2015.2

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 Vol. 9715 page： 94151X-1-6 2015.2

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 Vol. 9414 page： 94143L-1-6 2015.2

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

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

Computer Methods and Programs in Biomedicine Vol. 118 ( 2 ) 2015.2

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 page： accepted 2015.2

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

Xiongbiao Luo, Ying Wan, Xiangjian He, Kensaku Mori

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Vol. 118 ( 2 ) page： 147 - 157 2015.2

Language：English Publishing type：Research paper (scientific journal) Publisher：ELSEVIER IRELAND LTD

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. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

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 Vol. 9415 page： 941528-1-8 2015.2

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 Vol. 53 ( 2 ) page： 20-27 2015.2

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) page： PS.1, 616 2015.1

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) page： PS.1, 617 2015.1

A model-free method for annotating on vascular structure in volume rendered images Reviewed

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

Progress in Biomedical Optics and Imaging - Proceedings of SPIE Vol. 9415 2015

Language：English Publishing type：Research paper (international conference proceedings) Publisher：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 Reviewed

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

Progress in Biomedical Optics and Imaging - Proceedings of SPIE Vol. 9414 2015

A study on 3D liver model fabricated by 3D printer from X-ray CT images for assistance of liver cancer surgery Invited Reviewed Open Access

NAKAMURA YOSHIHIKO, HAYASHI YUICHIRO, ODA MASAHIRO, HIROSE TOMOAKI, IGAMI TSUYOSHI, NAGINO MASATO, MORI KENSAKU

Transactions of Japanese Society for Medical and Biological Engineering Vol. 53 page： S205_02 - S205_02 2015

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society for Medical and Biological Engineering

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

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 Vol. 38 ( 12 ) page： 3163-3166 2014.12

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 Vol. INE025-b page： 312 2014.12

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 Vol. 29 ( 11 ) page： 22-25 2014.11

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 Vol. 29 ( 11 ) page： 22-25 2014.11

　 PREV - NEXT 　

<MORI, Kensaku>

Papers - MORI, Kensaku