A method for lung nodule visualization from multi-slice CT data

被引:0
作者
Bülow, T [1 ]
Wiemker, R [1 ]
Lorenz, C [1 ]
Renisch, S [1 ]
Blaffert, T [1 ]
机构
[1] Philips Res Labs, D-22335 Hamburg, Germany
来源
CARS 2005: COMPUTER ASSISTED RADIOLOGY AND SURGERY | 2005年 / 1281卷
关键词
CAD; lung nodules; visualization; MSCT;
D O I
10.1016/j.ics.2005.03.116
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Visual detection of lung nodules in multi-slice computed tomography (MSCT) datasets is a tedious, time-consuming and error-prone procedure. For this reason, various computer assisted detection (CAD) systems for the automated detection of lung nodules have been presented in the literature. In this paper, we propose a complementary method helping in the visual detection of nodules. We suggest to segment the lung and the pulmonary vessel tree from the dataset. A maximum intensity projection (MIP) of the lung without the pulmonary vessel tree shows the nodules clearly. Rotating the MIP gives a visual impression of the density, size, shape and spatial position of the nodules. (c) 2005 CARS & Elsevier B.V. All rights reserved.
引用
收藏
页码:1127 / 1131
页数:5
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