Journal article
Correction for Arterial-Tissue Delay and Dispersion in Absolute Quantitative Cerebral Perfusion DSC MR Imaging
Magnetic resonance in medicine, Vol.68(2), pp.495-506
08/2012
DOI: 10.1002/mrm.23257
PMCID: PMC3310307
PMID: 22162092
Abstract
The singular value decomposition deconvolution of cerebral tissue concentration-time (C-T) curves with the arterial input function (AIF) is commonly used in dynamic susceptibility contrast (DSC) cerebral perfusion MR imaging. However, it is sensitive to the time discrepancy between the arrival of the bolus in the tissue C-T curve and the AIF signal. This normally causes inaccuracy in the quantitative perfusion maps due to delay and dispersion effects. A comprehensive correction algorithm has been achieved through slice-dependent time-shifting of the AIF, and a delay-dependent dispersion correction model. The correction algorithm was tested in 11 healthy subjects and 3 ischemic stroke patients scanned with a quantitative perfusion pulse sequence at 1.5T. A validation study was performed on 5 patients with confirmed cerebrovascular occlusive disease scanned with MRI and positron emission tomography (PET) at 3.0T. A significant effect (p<0.05) was reported on the quantitative cerebral blood flow and mean transit time measurements (up to 50%). There was no statistically significant effect on the quantitative cerebral blood volume values. The
in vivo
results were in agreement with the simulation results, as well as previous literature. This minimizes the bias in patient diagnosis due to the existing errors and artifacts in DSC imaging.
Details
- Title: Subtitle
- Correction for Arterial-Tissue Delay and Dispersion in Absolute Quantitative Cerebral Perfusion DSC MR Imaging
- Creators
- Jessy J Mouannes-Srour - Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, United StatesWanyong Shin - Imaging Institute, Mellen Center, The Cleveland Clinic, Cleveland, Ohio, United StatesSameer A Ansari - Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, United StatesMichael C Hurley - Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, United StatesParmede Vakil - Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, United StatesBernard R Bendok - Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, United StatesJohn L Lee - Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, United StatesColin P Derdeyn - Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, United StatesTimothy J Carroll - Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, United States
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance in medicine, Vol.68(2), pp.495-506
- DOI
- 10.1002/mrm.23257
- PMID
- 22162092
- PMCID
- PMC3310307
- ISSN
- 0740-3194
- eISSN
- 1522-2594
- Grant note
- R01 NS049395-04 || NS / National Institute of Neurological Disorders and Stroke : NINDS T32 EB005170-05 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB
- Language
- English
- Date published
- 08/2012
- Academic Unit
- Neurology; Radiology; Iowa Neuroscience Institute; Neurosurgery
- Record Identifier
- 9984020641402771
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