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 Field
Value
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
Author Affiliations
  1. University of Southern California
  2. Hong Kong Polytechnic University