Knowledge-based automated technique for measuring total lung volume from CT
Knowledge-based automated technique for measuring total lung volume from CT
复制标题
基于知识的自动化技术,用于通过 CT 测量肺总量
DOI:
10.1117/12.237898
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发表时间:
1996
期刊:
影响因子:
--
通讯作者:
D. Aberle
中科院分区:
文献类型:
--
作者:
Matthew S. Brown;M. McNitt;N. Mankovich;J. Goldin;D. Aberle
A robust, automated technique has been developed for estimating total lung volumes from chest computed tomography (CT) images. The technique includes a method for segmenting major chest anatomy. A knowledge-based approach automates the calculation of separate volumes of the whole thorax, lungs, and central tracheo-bronchial tree from volumetric CT data sets. A simple, explicit 3D model describes properties such as shape, topology and X-ray attenuation, of the relevant anatomy, which constrain the segmentation of these anatomic structures. Total lung volume is estimated as the sum of the right and left lungs and excludes the central airways. The method requires no operator intervention. In preliminary testing, the system was applied to image data from two healthy subjects and four patients with emphysema who underwent both helical CT and pulmonary function tests. To obtain single breath-hold scans, the healthy subjects were scanned with a collimation of 5 mm and a pitch of 1.5, while the emphysema patients were scanned with collimation of 10 mm at a pitch of 2.0. CT data were reconstructed as contiguous image sets. Automatically calculated volumes were consistent with body plethysmography results (< 10% difference).
DOI:
10.1152/jappl.1994.76.4.1774
发表时间:
1994
期刊:
Journal of applied physiology (Bethesda, Md. : 1985)
影响因子:
--
作者:
Olson,LE;Hoffman,EA
通讯作者:
Hoffman,EA
影响因子:
3.8
作者:
BAE, KT;GIGER, ML;KAHN, CE
通讯作者:
KAHN, CE