Detection of bronchopulmonary segments on high-resolution CT - preliminary resultsq

被引：10

作者：

Busayarat, Sata ^{[1
]}

Zrimec, Tatjana ^{[1
,2
]}

机构：

[1] Univ New South Wales, Sch Engn & Comp Sci, Kensington, NSW 2033, Australia

[2] Univ New South Wales, Ctr Hlth Informat, Kensington, NSW 2052, Australia

来源：

TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/CBMS.2007.37

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Bronchopulmonary segments are subdivisions of lung lobes and provide detailed description of lung anatomy. They are used in surgical resection planning and airway disease quantification. In this paper, we present a method for determining lung segments in volumetric high-resolution CT (HRCT) using segmental bronchi. The bronchial tree is automatically segmented and manually corrected to ensure optimum accuracy. The bronchopulmonary segments are determined by a 3D volume growing with a novel surface smoothing algorithm. Using the detected bronchoplumonary segments of three normal subjects, we measure the inter-patient variation of position of the segments in three subjects.

引用

页码：199 / +

页数：2