Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hironobu, Omatsu"'
Autor:
Noboru Niki, Noriyuki Moriyama, Hironobu Omatsu, M. Kubo, S. Nakagawa, Kenji Eguchi, N. Yamaguchi, R. Kakinuma, M. Kaneko
Publikováno v:
IEEE Transactions on Nuclear Science. 46:2128-2133
Describes a new automatic extraction algorithm of the pulmonary major and minor fissures from three-dimensional (3-D) chest thin-section images of helical computed tomography (CT). These fissures are used for the analysis of pulmonary conformation an
Autor:
Atsuya Karato, Hitoshi Arioka, Hajime Nakashima, Hiroshi Kunikane, Kenji Eguchi, Tomohide Tamura, Nagahiro Saijo, Yuichiro Ohe, Makoto Nishio, Yasutsuna Sasaki, Tetsu Shinkai, Hironobu Omatsu
Publikováno v:
Japanese Journal of Cancer Research : Gann
Paclitaxel, a new antitubular agent, appears to be one of the most promising single agents for the chemotherapy of various solid tumors. The primary objectives of this phase I study of paclitaxel using 24‐h continuous intravenous infusions were to
Autor:
Yasutaka Nakano, N. Niki, Kenji Eguchi, Yoshiki Kawata, Hironobu Omatsu, Shinsuke Saita, Mitsuru Kubo, Noriyuki Moriyama, K. Tominaga
Publikováno v:
SPIE Proceedings.
Recently, due to aging and smoking, emphysema patients are increasing. The restoration of alveolus which was destroyed by emphysema is not possible, thus early detection of emphysema is desired. We describe a quantitative algorithm for extracting emp
Autor:
Hironobu Omatsu, Kenji Eguchi, Masahiko Kusumoto, Mitsuru Kubo, Hiroyuki Nishiyama, Ryutaro Kakinuma, Yoshiki Kawata, Nobuhiro Yamada, Masahiro Kaneko, Noriyuki Moriyama, Noboru Niki
Publikováno v:
Medical Imaging: Image Processing
We have already developed a prototype of computer-aided diagnosis (CAD) system that can automatically detect suspicious shadows from Chest CT images. But the CAD system cannot detect Ground-Grass-Attenuation perfectly. In many cases, this reason depe
Publikováno v:
Nihon Hoshasen Gijutsu Gakkai zasshi. 58(7)
Autor:
N. Yamaguchi, N. Niki, Kenji Eguchi, M. Kaneko, Hironobu Omatsu, R. Kakinuma, S. Nakagawa, Noriyuki Moriyama, Mitsuru Kubo
Publikováno v:
1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).
In this paper, the authors describe a new automatic extraction algorithm of the pulmonary major and minor fissures from three dimensional (3-D) chest thin-section images of helical computed tomography (CT). These fissures are useful for the analysis
Autor:
S. Nakagawa, T. Tozaki, N. Yamaguchi, Noboru Niki, M. Kaneko, Hironobu Omatsu, Noriyuki Moriyama, Kenji Eguchi, Mitsuru Kubo
Publikováno v:
ICIP (3)
Helical computed tomography (CT) is a promising tool for the early diagnosis of lung cancer. The three-dimensional information makes it possible to detect a subtle change in any field of the lung. However, the diagnostic procedure is time-consuming,
Autor:
R. Kakinuma, Mitsuru Kubo, Noriyuki Moriyama, Hironobu Omatsu, M. Kaneko, Yoshiki Kawata, Noboru Niki, Kazuhori Kubota, Kenji Eguchi
Publikováno v:
ICIP (1)
We have developed a computer assisted automatic detection system for lung cancer that detects tumor candidates at an early stage from helical CT images. In July 1997, we started the comparative field trial using our system prospectively. Chest CT ima
Autor:
Kenji Eguchi, Kensaku Mori, Noboru Niki, M. Kaneko, Mitsuru Kubo, M. Kusumoto, Noriyuki Moriyama, R. Kakinuma, Hironobu Omatsu, Hiroyuki Nishiyama
Publikováno v:
ICPR
The objective of the present paper is to extract the pulmonary major and minor fissures from 3D chest thin-section computed tomography (CT) images obtained by helical scan. These fissures are used for the diagnosis of lung cancer and the analysis of
Autor:
Masahiko Kusumoto, Noriyuki Moriyama, Hiroyuki Nishiyama, Ryutaro Kakinuma, Noboru Niki, Kiyoshi Mori, Kenji Eguchi, Hironobu Omatsu, Yoshiki Kawata, Masahiro Kaneko
Publikováno v:
Medical Imaging: Image Processing
This paper presents a method to analyze volume evolutions of pulmonary nodules for discrimination between malignant and benign nodules. Our method consists of four steps; The 3D rigid registration of the two successive 3D thoracic CT images, the 3D a