An intelligent detection of idiopathic scoliosis in chest computed radiography under picture archiving and communication system (PACS) environment

Fuk Tang, Lawrence WC Chan, P Wong

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Collection of digital image database in Picture Archiving and Communication System (PACS) has provided a useful means for improved image content accessibility. Idiopathic scoliosis is sometimes found in chest radiography of university students. In order to conduct retrospective studies of such disease, extraction of image features based on image content becomes crucial. To identify images with scoliosis, chest images are retrieved from the PACS image server and processed by an application server for content analysis. Automatic detection of image content can be enhanced by the fuzzy logics for the segmentation of vertebrae on the digital images retrieved from the PACS system. The intelligent classifier then identifies cases of scoliosis automatically. In addition to human interpretation, our method provides a more sensitive and efficient tool for detection of the abnormal feature in chest images.
Original languageEnglish
Title of host publicationadiological Society of Northern America 90th Scientific Assembly and Annual Meeting
Pages807-807
Number of pages1
Publication statusPublished - 2004
Eventadiological Society of Northern America 90th Scientific Assembly and Annual Meeting - Chicago, Illinois, US, New Zealand
Duration: 27 Nov 200402 Dec 2004

Conference

Conferenceadiological Society of Northern America 90th Scientific Assembly and Annual Meeting
CountryNew Zealand
Period27/11/0402/12/04

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