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Conference Paper: A timely computer-aided detection system for acute ischemic and hemorrhagic stroke on CT in an emergency environment
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TitleA timely computer-aided detection system for acute ischemic and hemorrhagic stroke on CT in an emergency environment
 
AuthorsMa, KC
Le, AH
Fernandez, JF
Chan, T
Liu, BJ
Huang, HK
 
Issue Date2008
 
PublisherRSNA 2008.
 
CitationThe 94th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2008), Chicago, IL., 30 November-5 December 2008. In RSNA 2008 Annual Meeting: Education Exhibits and Presentations Pamphlet, 2008, p. 9, no. LL-IN1105 [How to Cite?]
 
AbstractBACKGROUND: When a patient is accepted in the emergency room suspected of stroke, time is of the most importance. The infarct brain area suffers irreparable damage as soon as three hours after the onset of stroke symptoms. Non-contrast CT scan is the standard first line of investigation used to identify hemorrhagic stroke cases. However, CT brain images do not show hyperacute ischemia and small hemorrhage clearly and thus may be missed by emergency physicians. We reported a timely computer-aided detection (CAD) system for small hemorrhages on CT that has been successfully developed as an aid to ER physicians to help improve detection for Acute Intracranial Hemorrhage (AIH). This CAD system has been enhanced for diagnosis of acute ischemic stroke in addition to hemorrhagic stroke, which becomes a more complete and clinically useful tool for assisting emergency physicians and radiologists. In the detection algorithm, brain matter is first segmented, realigned, and left-right brain symmetry is evaluated. As in the AIH system, the system confirms hemorrhagic stroke by detecting blood presence with anatomical and medical knowledge-based criteria. For detecting ischemia, signs such as regional hypodensity, blurring of grey and white matter differentiation, effacement of cerebral sulci, and hyperdensity in middle cerebral artery, are evaluated …
 
DescriptionStandalone Presentations: no. LL-IN1105
 
DC FieldValue
dc.contributor.authorMa, KC
 
dc.contributor.authorLe, AH
 
dc.contributor.authorFernandez, JF
 
dc.contributor.authorChan, T
 
dc.contributor.authorLiu, BJ
 
dc.contributor.authorHuang, HK
 
dc.date.accessioned2010-07-13T03:50:07Z
 
dc.date.available2010-07-13T03:50:07Z
 
dc.date.issued2008
 
dc.description.abstractBACKGROUND: When a patient is accepted in the emergency room suspected of stroke, time is of the most importance. The infarct brain area suffers irreparable damage as soon as three hours after the onset of stroke symptoms. Non-contrast CT scan is the standard first line of investigation used to identify hemorrhagic stroke cases. However, CT brain images do not show hyperacute ischemia and small hemorrhage clearly and thus may be missed by emergency physicians. We reported a timely computer-aided detection (CAD) system for small hemorrhages on CT that has been successfully developed as an aid to ER physicians to help improve detection for Acute Intracranial Hemorrhage (AIH). This CAD system has been enhanced for diagnosis of acute ischemic stroke in addition to hemorrhagic stroke, which becomes a more complete and clinically useful tool for assisting emergency physicians and radiologists. In the detection algorithm, brain matter is first segmented, realigned, and left-right brain symmetry is evaluated. As in the AIH system, the system confirms hemorrhagic stroke by detecting blood presence with anatomical and medical knowledge-based criteria. For detecting ischemia, signs such as regional hypodensity, blurring of grey and white matter differentiation, effacement of cerebral sulci, and hyperdensity in middle cerebral artery, are evaluated …
 
dc.description.naturepublished_or_final_version
 
dc.descriptionStandalone Presentations: no. LL-IN1105
 
dc.identifier.citationThe 94th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2008), Chicago, IL., 30 November-5 December 2008. In RSNA 2008 Annual Meeting: Education Exhibits and Presentations Pamphlet, 2008, p. 9, no. LL-IN1105 [How to Cite?]
 
dc.identifier.epage9
 
dc.identifier.hkuros165197
 
dc.identifier.spage9
 
dc.identifier.urihttp://hdl.handle.net/10722/61919
 
dc.languageeng
 
dc.publisherRSNA 2008.
 
dc.publisher.placeUnited States
 
dc.relation.ispartofRSNA 2008 Annual Meeting: Education Exhibits and Presentations Pamphlet
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.titleA timely computer-aided detection system for acute ischemic and hemorrhagic stroke on CT in an emergency environment
 
dc.typeConference_Paper
 
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<contributor.author>Fernandez, JF</contributor.author>
<contributor.author>Chan, T</contributor.author>
<contributor.author>Liu, BJ</contributor.author>
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<description.abstract>BACKGROUND: When a patient is accepted in the emergency room suspected of stroke, time is of the most importance. The infarct brain area suffers irreparable damage as soon as three hours after the onset of stroke symptoms. Non-contrast CT scan is the standard first line of investigation used to identify hemorrhagic stroke cases. However, CT brain images do not show hyperacute ischemia and small hemorrhage clearly and thus may be missed by emergency physicians. We reported a timely computer-aided detection (CAD) system for small hemorrhages on CT that has been successfully developed as an aid to ER physicians to help improve detection for Acute Intracranial Hemorrhage (AIH). This CAD system has been enhanced for diagnosis of acute ischemic stroke in addition to hemorrhagic stroke, which becomes a more complete and clinically useful tool for assisting emergency physicians and radiologists. In the detection algorithm, brain matter is first segmented, realigned, and left-right brain symmetry is evaluated. As in the AIH system, the system confirms hemorrhagic stroke by detecting blood presence with anatomical and medical knowledge-based criteria. For detecting ischemia, signs such as regional hypodensity, blurring of grey and white matter differentiation, effacement of cerebral sulci, and hyperdensity in middle cerebral artery, are evaluated &#8230;</description.abstract>
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