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Research ArticleBrain

Automatic Quantification of Subarachnoid Hemorrhage on Noncontrast CT

A.M. Boers, I.A. Zijlstra, C.S. Gathier, R. van den Berg, C.H. Slump, H.A. Marquering and C.B. Majoie
American Journal of Neuroradiology December 2014, 35 (12) 2279-2286; DOI: https://doi.org/10.3174/ajnr.A4042
A.M. Boers
aFrom the Departments of Radiology (A.M.B., I.A.Z., R.v.d.B., H.A.M., C.B.M.)
bBiomedical Engineering and Physics (A.M.B., H.A.M.), Academic Medical Center, Amsterdam, the Netherlands
cInstitute of Technical Medicine (A.M.B.)
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I.A. Zijlstra
aFrom the Departments of Radiology (A.M.B., I.A.Z., R.v.d.B., H.A.M., C.B.M.)
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C.S. Gathier
eDepartment of Neurology (C.S.G.), University Medical Centre Utrecht, Utrecht, the Netherlands.
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R. van den Berg
aFrom the Departments of Radiology (A.M.B., I.A.Z., R.v.d.B., H.A.M., C.B.M.)
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C.H. Slump
dMIRA Institute for Biomedical Technology and Technical Medicine (C.H.S.), University of Twente, Enschede, the Netherlands
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H.A. Marquering
aFrom the Departments of Radiology (A.M.B., I.A.Z., R.v.d.B., H.A.M., C.B.M.)
bBiomedical Engineering and Physics (A.M.B., H.A.M.), Academic Medical Center, Amsterdam, the Netherlands
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C.B. Majoie
aFrom the Departments of Radiology (A.M.B., I.A.Z., R.v.d.B., H.A.M., C.B.M.)
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Abstract

BACKGROUND AND PURPOSE: Quantification of blood after SAH on initial NCCT is an important radiologic measure to predict patient outcome and guide treatment decisions. In current scales, hemorrhage volume and density are not accounted for. The purpose of this study was to develop and validate a fully automatic method for SAH volume and density quantification.

MATERIALS AND METHODS: The automatic method is based on a relative density increase due to the presence of blood from different brain structures in NCCT. The method incorporates density variation due to partial volume effect, beam-hardening, and patient-specific characteristics. For validation, automatic volume and density measurements were compared with manual delineation on NCCT images of 30 patients by 2 radiologists. The agreement with the manual reference was compared with interobserver agreement by using the intraclass correlation coefficient and Bland-Altman analysis for volume and density.

RESULTS: The automatic measurement successfully segmented the hemorrhage of all 30 patients and showed high correlation with the manual reference standard for hemorrhage volume (intraclass correlation coefficient = 0.98 [95% CI, 0.96–0.99]) and hemorrhage density (intraclass correlation coefficient = 0.80 [95% CI, 0.62–0.90]) compared with intraclass correlation coefficient = 0.97 (95% CI, 0.77–0.99) and 0.98 (95% CI, 0.89–0.99) for manual interobserver agreement. Mean SAH volume and density were, respectively, 39.3 ± 31.5 mL and 62.2 ± 5.9 Hounsfield units for automatic measurement versus 39.7 ± 32.8 mL and 61.4 ± 7.3 Hounsfield units for manual measurement. The accuracy of the automatic method was excellent, with limits of agreement of −12.9–12.1 mL and −7.6–9.2 Hounsfield units.

CONCLUSIONS: The automatic volume and density quantification is very accurate compared with manual assessment. As such, it has the potential to provide important determinants in clinical practice and research.

ABBREVIATIONS:

ICC
intraclass correlation coefficient
LPBA40
Laboratory of Neuro Imaging Probabilistic Brain Atlas
  • © 2014 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 35 (12)
American Journal of Neuroradiology
Vol. 35, Issue 12
1 Dec 2014
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Automatic Quantification of Subarachnoid Hemorrhage on Noncontrast CT
A.M. Boers, I.A. Zijlstra, C.S. Gathier, R. van den Berg, C.H. Slump, H.A. Marquering, C.B. Majoie
American Journal of Neuroradiology Dec 2014, 35 (12) 2279-2286; DOI: 10.3174/ajnr.A4042

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Automatic Quantification of Subarachnoid Hemorrhage on Noncontrast CT
A.M. Boers, I.A. Zijlstra, C.S. Gathier, R. van den Berg, C.H. Slump, H.A. Marquering, C.B. Majoie
American Journal of Neuroradiology Dec 2014, 35 (12) 2279-2286; DOI: 10.3174/ajnr.A4042
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