A supervised method for calculating perfusion/diffusion mismatch volume in acute ischemic stroke

Judy R. James; Karmen K. Yoder; Olaniyi Osuntokun; Andrew Kalnin; Askiel Bruno; Evan D. Morris

doi:10.1016/j.compbiomed.2005.05.007

A supervised method for calculating perfusion/diffusion mismatch volume in acute ischemic stroke

Judy R. James, Karmen K. Yoder, Olaniyi Osuntokun, Andrew Kalnin, Askiel Bruno, Evan D. Morris

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Diffusion and perfusion (MR) imaging modalities identify overlapping but not identical areas of tissue as lesion following a stroke. It is thought that the 'mismatch' between modalities may represent tissue that could be recovered with proper (thrombolytic) treatment. We have designed a tool for semi-automated segmentation of the images and calculation of the mismatch volume. We present results from software phantoms and clinical data. Phantom results show our mismatch volume calculations are unbiased at realistic noise levels. Clinical data show that raters using our tool are consistent, fast (15 min per subject) and indistinguishable from an expert using manual segmentation.

Original language	English (US)
Pages (from-to)	1268-1287
Number of pages	20
Journal	Computers in Biology and Medicine
Volume	36
Issue number	11
DOIs	https://doi.org/10.1016/j.compbiomed.2005.05.007
State	Published - Nov 2006
Externally published	Yes

Keywords

Diffusion
Mismatch volume
Penumbra
Perfusion
Segmentation
Stroke

ASJC Scopus subject areas

Computer Science Applications
Health Informatics

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10.1016/j.compbiomed.2005.05.007

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title = "A supervised method for calculating perfusion/diffusion mismatch volume in acute ischemic stroke",

abstract = "Diffusion and perfusion (MR) imaging modalities identify overlapping but not identical areas of tissue as lesion following a stroke. It is thought that the 'mismatch' between modalities may represent tissue that could be recovered with proper (thrombolytic) treatment. We have designed a tool for semi-automated segmentation of the images and calculation of the mismatch volume. We present results from software phantoms and clinical data. Phantom results show our mismatch volume calculations are unbiased at realistic noise levels. Clinical data show that raters using our tool are consistent, fast (15 min per subject) and indistinguishable from an expert using manual segmentation.",

keywords = "Diffusion, Mismatch volume, Penumbra, Perfusion, Segmentation, Stroke",

author = "James, {Judy R.} and Yoder, {Karmen K.} and Olaniyi Osuntokun and Andrew Kalnin and Askiel Bruno and Morris, {Evan D.}",

note = "Funding Information: Karmen Yoder received her Ph.D. in Medical Neurobiology with a minor in pharmacology from the Indiana University School of Medicine (IUSM, Indianapolis, IN) in 2002. From 1999 to 2001 Dr. Yoder was the recipient of a Scottish Rite Schizophrenia Research Fellowship. From 2002 to 2004, Dr. Yoder received postdoctoral training in departments of Psychiatry and Radiology at IUSM, concentrating on radioligand PET methods and modeling techniques. Currently, she is an Assistant Research Professor in the Department of Radiology at IUSM. The focus of Dr. Yoder's research is to employ functional imaging techniques such as PET and MR to document disease processes in the fields of psychiatry and neurology. ",

year = "2006",

month = nov,

doi = "10.1016/j.compbiomed.2005.05.007",

language = "English (US)",

volume = "36",

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AU - James, Judy R.

AU - Yoder, Karmen K.

AU - Osuntokun, Olaniyi

AU - Kalnin, Andrew

AU - Bruno, Askiel

AU - Morris, Evan D.

N1 - Funding Information: Karmen Yoder received her Ph.D. in Medical Neurobiology with a minor in pharmacology from the Indiana University School of Medicine (IUSM, Indianapolis, IN) in 2002. From 1999 to 2001 Dr. Yoder was the recipient of a Scottish Rite Schizophrenia Research Fellowship. From 2002 to 2004, Dr. Yoder received postdoctoral training in departments of Psychiatry and Radiology at IUSM, concentrating on radioligand PET methods and modeling techniques. Currently, she is an Assistant Research Professor in the Department of Radiology at IUSM. The focus of Dr. Yoder's research is to employ functional imaging techniques such as PET and MR to document disease processes in the fields of psychiatry and neurology.

PY - 2006/11

Y1 - 2006/11

N2 - Diffusion and perfusion (MR) imaging modalities identify overlapping but not identical areas of tissue as lesion following a stroke. It is thought that the 'mismatch' between modalities may represent tissue that could be recovered with proper (thrombolytic) treatment. We have designed a tool for semi-automated segmentation of the images and calculation of the mismatch volume. We present results from software phantoms and clinical data. Phantom results show our mismatch volume calculations are unbiased at realistic noise levels. Clinical data show that raters using our tool are consistent, fast (15 min per subject) and indistinguishable from an expert using manual segmentation.

AB - Diffusion and perfusion (MR) imaging modalities identify overlapping but not identical areas of tissue as lesion following a stroke. It is thought that the 'mismatch' between modalities may represent tissue that could be recovered with proper (thrombolytic) treatment. We have designed a tool for semi-automated segmentation of the images and calculation of the mismatch volume. We present results from software phantoms and clinical data. Phantom results show our mismatch volume calculations are unbiased at realistic noise levels. Clinical data show that raters using our tool are consistent, fast (15 min per subject) and indistinguishable from an expert using manual segmentation.

KW - Diffusion

KW - Mismatch volume

KW - Penumbra

KW - Perfusion

KW - Segmentation

KW - Stroke

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A supervised method for calculating perfusion/diffusion mismatch volume in acute ischemic stroke

Abstract

Keywords

ASJC Scopus subject areas

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