Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems

Details Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems

2011-06-26

arxiv.org/abs/1106.5186v1

Computer Science

Computer Vision and Pattern Recognition

7 pages, 4 figures. Published in Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI), 2011

Scientific paper

Although radiologists can employ CAD systems to characterize malignancies, pulmonary fibrosis and other chronic diseases; the design of imaging techniques to quantify infectious diseases continue to lag behind. There exists a need to create more CAD systems capable of detecting and quantifying characteristic patterns often seen in respiratory tract infections such as influenza, bacterial pneumonia, or tuborculosis. One of such patterns is Tree-in-bud (TIB) which presents \textit{thickened} bronchial structures surrounding by clusters of \textit{micro-nodules}. Automatic detection of TIB patterns is a challenging task because of their weak boundary, noisy appearance, and small lesion size. In this paper, we present two novel methods for automatically detecting TIB patterns: (1) a fast localization of candidate patterns using information from local scale of the images, and (2) a M\"{o}bius invariant feature extraction method based on learned local shape and texture properties. A comparative evaluation of the proposed methods is presented with a dataset of 39 laboratory confirmed viral bronchiolitis human parainfluenza (HPIV) CTs and 21 normal lung CTs. Experimental results demonstrate that the proposed CAD system can achieve high detection rate with an overall accuracy of 90.96%.

Affiliated with

Also associated with

No associations

Rating

Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-585480