Semi-automated method for brain hematoma and edema quantification using computed tomography

Bardera, Anton; Boada, Imma; Feixas, Miquel; Remollo, Sebastián; Blasco, Gerard; Silva, Yolanda; Pedraza, Salvador

doi:10.1016/j.compmedimag.2009.02.001

Cited by 52 publications

(32 citation statements)

References 23 publications

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“…dx Imaging modality Current hematoma yes yes no yes CT CBMS98 [8] hematoma N/D yes no NO CT SPIE99 [9] hematoma yes yes no NO CT CIARP07 [10] hematoma N/D yes no NO CT CMIG07 [11] hematoma NO NO YES yes CT JNT08 [12] hematoma yes N/D N/D yes CT EMBS08 [13] hematoma yes yes no N/D CT CMIG09 [14] hematoma yes yes no NO CT AJNR01 [15] stroke NO no yes NO CT EMBS04 [16] stroke N/D yes NO NO MRI (DWI) MIAR04 [17] stroke yes no yes NO MRI qualitative diagnosis. Section 5 will focus on hematoma volume measurement at the original resolution using a multiresolution binary level set method.…”

Section: Systemmentioning

confidence: 99%

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Computer-aided diagnosis of intracranial hematoma with brain deformation on computed tomography

Liao

Xiao

Wong

et al. 2010

Computerized Medical Imaging and Graphics

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Section: Systemmentioning

confidence: 99%

“…There has been a couple of CAD systems for brain images in the literature, most of them are used to diagnose intracranial hematoma [8][9][10][11][12][13][14] or ischemic stroke [15][16][17]. A brief summery is given in Table 1.…”

Section: Related Workmentioning

confidence: 99%

Computer-aided diagnosis of intracranial hematoma with brain deformation on computed tomography

Liao

Xiao

Wong

et al. 2010

Computerized Medical Imaging and Graphics

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“…This technique uses minimal user input to identify IVH, and can give a very accurate measure of the total volume of the segmented structure. 29 However, this method requires sophisticated software that is not validated, nor is it readily available in most clinical settings. Using our proposed methods, the CT scan is all that is required to assign the mGS.…”

Section: Discussionmentioning

confidence: 99%

The Modified Graeb Score

Morgan

Dawson

Spengler

et al. 2013

Stroke

136

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Background and Purpose-Simple and rapid measures of intraventricular hemorrhage (IVH) volume are lacking. We developed and validated a modification of the original Graeb scale to facilitate rapid assessment of IVH over time. Methods-We explored the relationship between the modified Graeb scale (mGS), original Graeb scale, measured IVH volume, and outcome using data from the Clot Lysis: Evaluating Accelerated Resolution of Hemorrhage with rtPA B (CLEAR B) study. We also explored its reliability. We then evaluated the relationship between mGS and outcome in a large sample of participants with IVH using data contained within the Virtual International Stroke Trials Archive (VISTA). We defined outcome using the modified Rankin scale (>3 signifying poor outcome). Results-The CLEAR B study included 360 scans from 36 subjects. The mGS score and IVH volume were highly correlated (R = 0.80, P<0.0001, R 2 0.65). Baseline mGS was predictive of poor outcome (area under receiving operating characteristic curve 0.74, 95% confidence interval, 0.57-0.91), whereas the original Graeb scale was not. The VISTA study included 399 participants. Each unit increase in the mGS led to a 12% increase in the odds of a poor outcome (odds ratio, 1.12; 95% confidence interval, 1.05-1.19). Measures of reliability (intra-and inter-reader) were good in both studies. Conclusions-The

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“…As shown in [5], misinterpretation of CT in patients with SAH is a common problem. Various hemorrhage detection systems have been reported [6][7][8][9][10], but none of them are suitable for the detection of SAH. These methods have two common assumptions: the hemorrhagic region in brain CT being hyperdense, and asymmetric.…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images

et al. 2010

J Med Syst

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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.

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Semi-automated method for brain hematoma and edema quantification using computed tomography

Cited by 52 publications

References 23 publications

Computer-aided diagnosis of intracranial hematoma with brain deformation on computed tomography

Computer-aided diagnosis of intracranial hematoma with brain deformation on computed tomography

The Modified Graeb Score

Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images

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