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Automated CT-based ...
Automated CT-based segmentation and quantification of total intracranial volume
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Aguilar, C. (author)
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Edholm, K. (author)
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- Simmons, A. (author)
- Karolinska Institutet
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- Cavallin, L. (author)
- Karolinska Institutet
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Muller, S. (author)
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- Skoog, Ingmar, 1954 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
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- Larsson, Elna-Marie (author)
- Uppsala universitet,Radiologi
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- Axelsson, R. (author)
- Karolinska Institutet
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- Wahlund, L. O. (author)
- Karolinska Institutet
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- Westman, E. (author)
- Karolinska Institutet
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(creator_code:org_t)
- 2015-04-16
- 2015
- English.
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In: European Radiology. - : Springer Science and Business Media LLC. - 0938-7994 .- 1432-1084. ; 25:11, s. 3151-3160
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https://doi.org/10.1...
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Abstract
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- Objectives To develop an algorithm to segment and obtain an estimate of total intracranial volume (tICV) from computed tomography (CT) images. Materials and methods Thirty-six CT examinations from 18 patients were included. Ten patients were examined twice the same day and eight patients twice six months apart (these patients also underwent MRI). The algorithm combines morphological operations, intensity thresholding and mixture modelling. The method was validated against manual delineation and its robustness assessed from repeated imaging examinations. Using automated MRI software, the comparability with MRI was investigated. Volumes were compared based on average relative volume differences and their magnitudes; agreement was shown by a Bland-Altman analysis graph. Results We observed good agreement between our algorithm and manual delineation of a trained radiologist: the Pearson's correlation coefficient was r = 0.94, tICVml[manual] = 1.05 x tICVml[automated] - 33.78 (R-2 = 0.88). Bland-Altman analysis showed a bias of 31 mL and a standard deviation of 30 mL over a range of 1265 to 1526 mL. Conclusions tICV measurements derived from CT using our proposed algorithm have shown to be reliable and consistent compared to manual delineation. However, it appears difficult to directly compare tICV measures between CT and MRI.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- Total intracranial volume
- Computed tomography
- Skull stripping
- Maximum likelihood estimator
- alzheimers-disease
- computed-tomography
- brain-development
- old-age
- mri
- dementia
- images
- robust
- size
- fsl
- Radiology
- Nuclear Medicine & Medical Imaging
- Computed tomography; Magnetic resonance imaging; Maximum likelihood estimator; Skull stripping; Total intracranial volume
Publication and Content Type
- ref (subject category)
- art (subject category)
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To the university's database
- By the author/editor
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Aguilar, C.
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Edholm, K.
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Simmons, A.
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Cavallin, L.
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Muller, S.
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Skoog, Ingmar, 1 ...
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show more...
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Larsson, Elna-Ma ...
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Axelsson, R.
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Wahlund, L. O.
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Westman, E.
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show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Radiology Nuclea ...
- Articles in the publication
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European Radiolo ...
- By the university
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University of Gothenburg
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Uppsala University
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Karolinska Institutet