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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

TitleEvaluation of a computer-aided detection algorithm for timely diagnosis of small acute intracranial hemorrhage on computed tomography in a critical care environment
Authors
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
Proceedings of SPIE, 2009, v. 7264 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/61916
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLee, JKen_HK
dc.contributor.authorChan, Ten_HK
dc.contributor.authorLiu, BJen_HK
dc.contributor.authorHuang, HKen_HK
dc.date.accessioned2010-07-13T03:50:03Z-
dc.date.available2010-07-13T03:50:03Z-
dc.date.issued2009en_HK
dc.identifier.citationProceedings of SPIE, 2009, v. 7264en_HK
dc.identifier.issn1605-7422en_HK
dc.identifier.urihttp://hdl.handle.net/10722/61916-
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.en_HK
dc.languageengen_HK
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=proceedingsen_HK
dc.relation.ispartofProgress in Biomedical Optics and Imaging - Proceedings of SPIEen_HK
dc.subjectAlgorithmen_HK
dc.subjectBrainen_HK
dc.subjectCADen_HK
dc.subjectComputed tomographyen_HK
dc.subjectCTen_HK
dc.subjectIntracranial hemorrhageen_HK
dc.titleEvaluation of a computer-aided detection algorithm for timely diagnosis of small acute intracranial hemorrhage on computed tomography in a critical care environmenten_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, T: taochan@hku.hken_HK
dc.identifier.authorityChan, T=rp00289en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.815390en_HK
dc.identifier.scopuseid_2-s2.0-67149139829en_HK
dc.identifier.hkuros168003en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67149139829&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume7264en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLee, JK=35210894800en_HK
dc.identifier.scopusauthoridChan, T=35147479300en_HK
dc.identifier.scopusauthoridLiu, BJ=26643288800en_HK
dc.identifier.scopusauthoridHuang, HK=7405610463en_HK

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