巻号一覧
27 巻 (2010)
- 4 号 p. 61-
- 3 号 p. 50-
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27 巻, 3 号
選択された号の論文の3件中1～3を表示しています
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追悼文特集号
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松本 政雄, 長谷川 伸, 津田 元久, 畑川 政勝, 稲津 博, 大塚 昭義, 東田 善治, 小寺 吉衞, 藤田 広志, 蔡 篤儀, 桂川 ...2010 年 27 巻 3 号 p. vi-xxxiii
発行日: 2010年
公開日: 2010/07/28
ジャーナル フリーPDF形式でダウンロード (2682K)
論文
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早川 吉彦, 山下 拓慶, 大粒来 孝, 妙瀬田 泰隆, 佐川 盛久, 近藤 篤, 辻 由美子, 本田 明2010 年 27 巻 3 号 p. 50-54
発行日: 2010年
公開日: 2010/07/28
ジャーナル フリーThe wavelength range of the near infrared (NIR) light is called `water window.' The superficial vascular imaging system using near infrared light sources was developed as those using both the reflected light and transmitted light. An NIR-sensitive CCD camera was surrounded by approximately sixty light emitting diodes (LEDs) , which have alternating wavelengths of 700 (visible light) , 760, 810 and 940nm, respectively. The camera detected the reflected NIR from superficial subcutaneous tissues at the palm and back of hands, and the wrist. Differences between wavelengths were significantly observed. Images taken at 940 nm the most clearly showed the vascular vessels at insides of these regions. As an application of the NIR imaging system, we examined whether the system was the beneficial tool for finding superficial subcutaneous foreign bodies or not. Twelve light sources of 940 nm LEDs were aligned for the transmission imaging. The alien substance examined was a mechanical pencil lead with 0.5 mm diameter. Chicken and pork meats (approx. 1 to 10 mm in thickness) were used instead of human skin. The thickness and fat contents were affected on the detection. As results, the NIR imaging was thought to be the beneficial tool for finding subcutaneous alien substances detection.抄録全体を表示PDF形式でダウンロード (3705K) -
—大規模データベースを用いた評価—浅野 龍紀, 内山 良一, 浅野 隆彦, 加藤 博基, 原 武史, 周 向栄, 岩間 亨, 星 博昭, 紀ノ定 保臣, 藤田 広志2010 年 27 巻 3 号 p. 55-60
発行日: 2010年
公開日: 2010/07/28
ジャーナル フリーThe detection of cerebrovascular diseases such as unruptured aneurysm and stenosis is a major application of magnetic resonance angiography (MRA) . However, their accurate detection is often difficult for radiologists. Therefore, several computer-aided diagnosis (CAD) schemes have been developed in order to assist radiologists with image interpretation. The purpose of this study is to modify our segmentation method of cerebral arteries and its application to a large image database. For the segmentation of cerebral arteries, we first used a gray level transformation to calibrate voxel values. To adjust for variations in the positioning of patients, image registration was subsequently employed to maximize the overlapping of the cerebral arteries in the target image and reference image. The cerebral arteries were then segmented from the background using gray-level thresholding and region growing techniques. Finally, rule-based schemes with features such as size and anatomical location were employed to distinguish between cerebral arteries and false positives. Our method was applied to 876 clinical cases, which were obtained from three different hospitals. The segmentation of cerebral arteries in 98.1% (859/876) of the MRA studies was attained as an acceptable result. Therefore, our computerized method would be useful for the segmentation of cerebral arteries in MRA images.抄録全体を表示PDF形式でダウンロード (1305K)
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