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Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography

Standard

Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography. / Kemmling, Andre; Wersching, H; Berger, K; Knecht, S; Groden, C; Nölte, I.

In: CLIN NEURORADIOL, Vol. 22, No. 1, 1, 01.03.2012, p. 79-91.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Kemmling, A, Wersching, H, Berger, K, Knecht, S, Groden, C & Nölte, I 2012, 'Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography', CLIN NEURORADIOL, vol. 22, no. 1, 1, pp. 79-91. https://doi.org/10.1007/s00062-011-0123-0

APA

Kemmling, A., Wersching, H., Berger, K., Knecht, S., Groden, C., & Nölte, I. (2012). Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography. CLIN NEURORADIOL, 22(1), 79-91. [1]. https://doi.org/10.1007/s00062-011-0123-0

Vancouver

Kemmling A, Wersching H, Berger K, Knecht S, Groden C, Nölte I. Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography. CLIN NEURORADIOL. 2012 Mar 1;22(1):79-91. 1. https://doi.org/10.1007/s00062-011-0123-0

Bibtex

@article{688e1badd28a43369965a38b6df9d50d,
title = "Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography",
abstract = "The aim of this study was to present and evaluate a standardized technique for brain segmentation of cranial computed tomography (CT) using probabilistic partial volume tissue maps based on a database of high resolution T1 magnetic resonance images (MRI).",
keywords = "Humans, Reproducibility of Results, Sensitivity and Specificity, Algorithms, Data Interpretation, Statistical, Computer Simulation, Models, Statistical, Imaging, Three-Dimensional/*methods, *Models, Biological, Tomography, X-Ray Computed/*methods, Radiographic Image Enhancement/*methods, Pattern Recognition, Automated/*methods, Radiographic Image Interpretation, Computer-Assisted/*methods, Brain/*radiography, Humans, Reproducibility of Results, Sensitivity and Specificity, Algorithms, Data Interpretation, Statistical, Computer Simulation, Models, Statistical, Imaging, Three-Dimensional/*methods, *Models, Biological, Tomography, X-Ray Computed/*methods, Radiographic Image Enhancement/*methods, Pattern Recognition, Automated/*methods, Radiographic Image Interpretation, Computer-Assisted/*methods, Brain/*radiography",
author = "Andre Kemmling and H Wersching and K Berger and S Knecht and C Groden and I N{\"o}lte",
year = "2012",
month = mar,
day = "1",
doi = "10.1007/s00062-011-0123-0",
language = "English",
volume = "22",
pages = "79--91",
journal = "CLIN NEURORADIOL",
issn = "1869-1439",
publisher = "Springer Heidelberg",
number = "1",

}

RIS

TY - JOUR

T1 - Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography

AU - Kemmling, Andre

AU - Wersching, H

AU - Berger, K

AU - Knecht, S

AU - Groden, C

AU - Nölte, I

PY - 2012/3/1

Y1 - 2012/3/1

N2 - The aim of this study was to present and evaluate a standardized technique for brain segmentation of cranial computed tomography (CT) using probabilistic partial volume tissue maps based on a database of high resolution T1 magnetic resonance images (MRI).

AB - The aim of this study was to present and evaluate a standardized technique for brain segmentation of cranial computed tomography (CT) using probabilistic partial volume tissue maps based on a database of high resolution T1 magnetic resonance images (MRI).

KW - Humans

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Algorithms

KW - Data Interpretation, Statistical

KW - Computer Simulation

KW - Models, Statistical

KW - Imaging, Three-Dimensional/methods

KW - Models, Biological

KW - Tomography, X-Ray Computed/methods

KW - Radiographic Image Enhancement/methods

KW - Pattern Recognition, Automated/methods

KW - Radiographic Image Interpretation, Computer-Assisted/methods

KW - Brain/radiography

KW - Humans

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Algorithms

KW - Data Interpretation, Statistical

KW - Computer Simulation

KW - Models, Statistical

KW - Imaging, Three-Dimensional/methods

KW - Models, Biological

KW - Tomography, X-Ray Computed/methods

KW - Radiographic Image Enhancement/methods

KW - Pattern Recognition, Automated/methods

KW - Radiographic Image Interpretation, Computer-Assisted/methods

KW - Brain/radiography

U2 - 10.1007/s00062-011-0123-0

DO - 10.1007/s00062-011-0123-0

M3 - SCORING: Journal article

C2 - 22270832

VL - 22

SP - 79

EP - 91

JO - CLIN NEURORADIOL

JF - CLIN NEURORADIOL

SN - 1869-1439

IS - 1

M1 - 1

ER -