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Conference Paper: Evaluation of a computer-aided detection algorithm for timely diagnosis of small acute intracranial hemorrhage on computed tomography in a critical care environment
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TitleEvaluation of a computer-aided detection algorithm for timely diagnosis of small acute intracranial hemorrhage on computed tomography in a critical care environment
 
AuthorsLee, JK1
Chan, T2
Liu, BJ1
Huang, HK1
 
KeywordsAlgorithm
Brain
CAD
Computed tomography
CT
Intracranial hemorrhage
 
Issue Date2009
 
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
 
Citation, v. 7264 [How to Cite?]
DOI: http://dx.doi.org/10.1117/12.815390
 
AbstractDetection of acute intracranial hemorrhage (AIH) is a primary task in the interpretation of computed tomography (CT) brain scans of patients suffering from acute neurological disturbances or after head trauma. Interpretation can be difficult especially when the lesion is inconspicuous or the reader is inexperienced. We have previously developed a computeraided detection (CAD) algorithm to detect small AIH. One hundred and thirty five small AIH CT studies from the Los Angeles County (LAC) + USC Hospital were identified and matched by age and sex with one hundred and thirty five normal studies. These cases were then processed using our AIH CAD system to evaluate the efficacy and constraints of the algorithm. © 2009 SPIE.
 
DescriptionProceedings of SPIE
 
ISSN1605-7422
 
DOIhttp://dx.doi.org/10.1117/12.815390
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorLee, JK
 
dc.contributor.authorChan, T
 
dc.contributor.authorLiu, BJ
 
dc.contributor.authorHuang, HK
 
dc.date.accessioned2010-07-13T03:50:03Z
 
dc.date.available2010-07-13T03:50:03Z
 
dc.date.issued2009
 
dc.description.abstractDetection of acute intracranial hemorrhage (AIH) is a primary task in the interpretation of computed tomography (CT) brain scans of patients suffering from acute neurological disturbances or after head trauma. Interpretation can be difficult especially when the lesion is inconspicuous or the reader is inexperienced. We have previously developed a computeraided detection (CAD) algorithm to detect small AIH. One hundred and thirty five small AIH CT studies from the Los Angeles County (LAC) + USC Hospital were identified and matched by age and sex with one hundred and thirty five normal studies. These cases were then processed using our AIH CAD system to evaluate the efficacy and constraints of the algorithm. © 2009 SPIE.
 
dc.description.naturelink_to_subscribed_fulltext
 
dc.descriptionProceedings of SPIE
 
dc.identifier.citation, v. 7264 [How to Cite?]
DOI: http://dx.doi.org/10.1117/12.815390
 
dc.identifier.doihttp://dx.doi.org/10.1117/12.815390
 
dc.identifier.hkuros168003
 
dc.identifier.issn1605-7422
 
dc.identifier.scopuseid_2-s2.0-67149139829
 
dc.identifier.urihttp://hdl.handle.net/10722/61916
 
dc.identifier.volume7264
 
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.ispartofProgress in Biomedical Optics and Imaging - Proceedings of SPIE
 
dc.relation.referencesReferences in Scopus
 
dc.subjectAlgorithm
 
dc.subjectBrain
 
dc.subjectCAD
 
dc.subjectComputed tomography
 
dc.subjectCT
 
dc.subjectIntracranial hemorrhage
 
dc.titleEvaluation of a computer-aided detection algorithm for timely diagnosis of small acute intracranial hemorrhage on computed tomography in a critical care environment
 
dc.typeConference_Paper
 
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Author Affiliations
  1. University of Southern California
  2. Hong Kong Polytechnic University