Automatic subarachnoid space segmentation and hemorrhage detection in clinical head CT scans

International Journal of Computer Assisted Radiology and Surgery

Volumn 7, Issue 4, 2012, Pages 507-516

  Li, Yong Hong ^a,b,c,d   Zhang, Liang ^a,b   Hu, Qing Mao ^a,b,e   Li, Hong Wei ^f   Jia, Fu Cang ^a,b   Wu, Jian Huang ^a,b  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^e Shenzhen Key Laboratory of Neuro Psychiatric Modulation   (China)

^f Da Tong No 3 People's Hospital   (China)

Author keywords

Cerebrospinal fluid; Computer aided diagnosis; Kernel density estimation; Subarachnoid space

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; ANATOMIC LANDMARK; ARTICLE; AUTOMATIC SUBARACHNOID SPACE SEGMENTATION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; PREDICTIVE VALUE; PRIORITY JOURNAL; PROBABILITY; RADIOLOGICAL PARAMETERS; SENSITIVITY AND SPECIFICITY; SUBARACHNOID HEMORRHAGE; SUBARACHNOID SPACE; SUPPORT VECTOR MACHINE; THREE DIMENSIONAL IMAGING;

EID: 84865709616     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-011-0664-3     Document Type: Article

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