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An objective method for edge detection in MRI morphometry

Published online by Cambridge University Press:  16 April 2020

MS Keshavan ,
C Beckwith ,
W Bagwell ,
W Pettegrew  and
K Ranga Krishnan
MS Keshavan
Affiliation:
Department of Psychiatry, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA15213
C Beckwith
Affiliation:
Department of Psychiatry, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA15213
W Bagwell
Affiliation:
Department of Psychiatry, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA15213
W Pettegrew
Affiliation:
Department of Psychiatry, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA15213
K Ranga Krishnan
Affiliation:
Department of Psychiatry, Duke University Medical Center, PO Box 3215, Durham, NC27710, USA
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Summary

We describe a simple method to objectively identify the threshold for edge detection in morphometric measurement of brain structures. This method correlates highly with the subjective operator-driven approach to edge detection. While the objective approach, using a histogram of pixel intensities, reduces rater bias and may reliably identify brain-CSF boundaries, its value in morphometric measurements of smaller cerebral structures may be somewhat limited.

Keywords

MRI morphometryedge detectionsegmentation

Information

Type
Short communication
Information
European Psychiatry , Volume 9 , Issue 4 , 1994 , pp. 205 - 207
Copyright
Copyright © European Psychiatric Association 1994

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