title: Automatic detection of the existence of subarachnoid hemorrhage from clinical CT images.
abstract: Subarachnoid hemorrhage (SAH) is a medical emergency which can lead to death or severe disability. Misinterpretation of computed tomography (CT) in patients with SAH is a common problem. How to improve the accuracy of diagnosis is a great challenge to both the clinical physicians and medical researchers. In this paper we proposed a method for the automatic detection of SAH on clinical non-contrast head CT scans. The novelty includes approximation of the subarachnoid space in head CT using an atlas based registration, and exploration of support vector machine to the detection of SAH. The study included 60 patients with SAH and 69 normal controls from clinical hospitals. Thirty patients with SAH and 30 normal controls were used for training, while the rest were used for testing to achieve a testing sensitivity of 100% and specificity of 89.7%. The proposed algorithm might be a potential tool to screen the existence of SAH.
authors.affiliation: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
authors.forename: Yonghong
authors.initials: Y
authors.lastname: Li
authors.forename: Jianhuang
authors.initials: J
authors.lastname: Wu
authors.forename: Hongwei
authors.initials: H
authors.lastname: Li
authors.forename: Degang
authors.initials: D
authors.lastname: Li
authors.forename: Xiaohua
authors.initials: X
authors.lastname: Du
authors.forename: Zhijun
authors.initials: Z
authors.lastname: Chen
authors.forename: Fucang
authors.initials: F
authors.lastname: Jia
authors.forename: Qingmao
authors.initials: Q
authors.lastname: Hu
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D016022:Case-Control Studies; D002681:China; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D013345:Subarachnoid Hemorrhage / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed
references.citation: Comput Med Imaging Graph. 2009 Jun;33(4):304-11
references.pmid: 19269786
references.citation: Comput Methods Programs Biomed. 1995 Apr;46(3):207-16
references.pmid: 7656554
references.citation: Lancet. 2007 Jan 27;369(9558):306-18
references.pmid: 17258671
references.citation: Neuroradiology. 1986;28(2):109-17
references.pmid: 3517685
references.citation: N Engl J Med. 1997 Jan 2;336(1):28-40
references.pmid: 8970938
references.citation: Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3375-8
references.pmid: 17280946
references.citation: J Emerg Med. 2008 Apr;34(3):237-51
references.pmid: 18155383
references.citation: Ann Emerg Med. 2009 Jan;53(1):160-1; author reply 162
references.pmid: 19111201
references.citation: IEEE Trans Med Imaging. 1994;13(1):102-9
references.pmid: 18218487
references.citation: Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):285-98
references.pmid: 17376649
references.citation: Stroke. 2009 Apr;40(4):1032-7
references.pmid: 19211484
references.citation: J Neurotrauma. 2008 Oct;25(10):1163-72
references.pmid: 18986221
references.citation: Neuroimage. 1995 Jun;2(2):89-101
references.pmid: 9343592