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Conference Paper: Multi-site evaluation of a computer aided detection (CAD) algorithm for small acute intra-cranial hemorrhage and development of a stand-alone CAD system ready for deployment in a clinical environment
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TitleMulti-site evaluation of a computer aided detection (CAD) algorithm for small acute intra-cranial hemorrhage and development of a stand-alone CAD system ready for deployment in a clinical environment
 
AuthorsDeshpande, RR1
Fernandez, J1
Lee, JK1
Chan, T2
Liu, BJ1
Huang, HK1
 
KeywordsAcute Inter-cranial Hemorrhage
Brain
Computer Aided Detection
CT
 
Issue Date2010
 
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings
 
CitationMedical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, San Diego, California, USA, 17-18 February 2010. In Proceedings of SPIE, 2010, v. 7628, p. 76280H-1-76280H-8 [How to Cite?]
DOI: http://dx.doi.org/10.1117/12.844833
 
AbstractTimely detection of Acute Intra-cranial Hemorrhage (AIH) in an emergency environment is essential for the triage of patients suffering from Traumatic Brain Injury. Moreover, the small size of lesions and lack of experience on the reader's part could lead to difficulties in the detection of AIH. A CT based CAD algorithm for the detection of AIH has been developed in order to improve upon the current standard of identification and treatment of AIH. A retrospective analysis of the algorithm has already been carried out with 135 AIH CT studies with 135 matched normal head CT studies from the Los Angeles County General Hospital/ University of Southern California Hospital System (LAC/USC). In the next step, AIH studies have been collected from Walter Reed Army Medical Center, and are currently being processed using the AIH CAD system as part of implementing a multi-site assessment and evaluation of the performance of the algorithm. The sensitivity and specificity numbers from the Walter Reed study will be compared with the numbers from the LAC/USC study to determine if there are differences in the presentation and detection due to the difference in the nature of trauma between the two sites. Simultaneously, a stand-alone system with a user friendly GUI has been developed to facilitate implementation in a clinical setting. © 2010 Copyright SPIE - The International Society for Optical Engineering.
 
ISSN0277-786X
2013 SCImago Journal Rankings: 0.203
 
DOIhttp://dx.doi.org/10.1117/12.844833
 
ISI Accession Number IDWOS:000284752500015
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorDeshpande, RR
 
dc.contributor.authorFernandez, J
 
dc.contributor.authorLee, JK
 
dc.contributor.authorChan, T
 
dc.contributor.authorLiu, BJ
 
dc.contributor.authorHuang, HK
 
dc.date.accessioned2010-09-25T18:01:25Z
 
dc.date.available2010-09-25T18:01:25Z
 
dc.date.issued2010
 
dc.description.abstractTimely detection of Acute Intra-cranial Hemorrhage (AIH) in an emergency environment is essential for the triage of patients suffering from Traumatic Brain Injury. Moreover, the small size of lesions and lack of experience on the reader's part could lead to difficulties in the detection of AIH. A CT based CAD algorithm for the detection of AIH has been developed in order to improve upon the current standard of identification and treatment of AIH. A retrospective analysis of the algorithm has already been carried out with 135 AIH CT studies with 135 matched normal head CT studies from the Los Angeles County General Hospital/ University of Southern California Hospital System (LAC/USC). In the next step, AIH studies have been collected from Walter Reed Army Medical Center, and are currently being processed using the AIH CAD system as part of implementing a multi-site assessment and evaluation of the performance of the algorithm. The sensitivity and specificity numbers from the Walter Reed study will be compared with the numbers from the LAC/USC study to determine if there are differences in the presentation and detection due to the difference in the nature of trauma between the two sites. Simultaneously, a stand-alone system with a user friendly GUI has been developed to facilitate implementation in a clinical setting. © 2010 Copyright SPIE - The International Society for Optical Engineering.
 
dc.description.naturepublished_or_final_version
 
dc.identifier.citationMedical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, San Diego, California, USA, 17-18 February 2010. In Proceedings of SPIE, 2010, v. 7628, p. 76280H-1-76280H-8 [How to Cite?]
DOI: http://dx.doi.org/10.1117/12.844833
 
dc.identifier.doihttp://dx.doi.org/10.1117/12.844833
 
dc.identifier.epage76280H-8
 
dc.identifier.hkuros170109
 
dc.identifier.isiWOS:000284752500015
 
dc.identifier.issn0277-786X
2013 SCImago Journal Rankings: 0.203
 
dc.identifier.scopuseid_2-s2.0-77953444313
 
dc.identifier.spage76280H-1
 
dc.identifier.urihttp://hdl.handle.net/10722/98766
 
dc.identifier.volume7628
 
dc.languageeng
 
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings
 
dc.publisher.placeUnited States
 
dc.relation.ispartofProceedings of SPIE - International Society for Optical Engineering
 
dc.relation.referencesReferences in Scopus
 
dc.rightsProceedings of SPIE - International Society for Optical Engineering. Copyright © S P I E - International Society for Optical Engineering.
 
dc.rightsCopyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.subjectAcute Inter-cranial Hemorrhage
 
dc.subjectBrain
 
dc.subjectComputer Aided Detection
 
dc.subjectCT
 
dc.titleMulti-site evaluation of a computer aided detection (CAD) algorithm for small acute intra-cranial hemorrhage and development of a stand-alone CAD system ready for deployment in a clinical environment
 
dc.typeConference_Paper
 
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Author Affiliations
  1. Image Processing and Informatics Laboratory
  2. Hong Kong Polytechnic University