METHOD AND SYSTEM FOR MAPPING TISSUE STATUS OF ACUTE STROKE
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Abstract
The current invention provides a method of identifying a ischemic lesion. The method includes loading perfusion imaging data into an electronic memory element and deriving perfusion maps from the perfusion imaging data, where the perfusion maps include a cerebral blood volume (CBV) map and an arterial delay time (DT) map, which utilize arterial delay and dispersion effects. Ischemic pixels are determined from the perfusion imaging data, where the DT is greater than a predetermined first threshold value and the CBV is below a second threshold value and the infarct portion of the ischemic lesion is determined, where DT is greater than a predetermined third threshold value and/or the CBV is below a forth threshold value. A cluster analysis is applied to all of the determined ischemic lesion and infarct pixels and the penumbra is then determined, where mismatch regions between the ischemic lesion and the infarct core define the penumbra.
54 Citations
20 Claims
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1-1. A method of identifying ischemic lesions in a subject, by operating a computer program on perfusion imaging data input to a computer comprising:
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a. loading said perfusion imaging data into an electronic memory means, wherein said perfusion imaging data contains information of a contrast agent passing through a region of interest (ROI), wherein said ROI comprises tissue; b. measuring a global arterial input function AIF from a normal major artery, wherein said AIF is an intensity profile measured against time; c. measuring a tissue contrast agent curve C(t) in said tissue, wherein said C(t) is an intensity profile measured against time; d. deriving perfusion maps by deconvolution of said AIF from said C(t) on a pixel-by-pixel basis using a delay compensated deconvolution method, wherein said perfusion maps comprise an arterial delay time (DT) map and at least one of cerebral blood volume (CBV), cerebral blood flow (CBF) and mean transit time (MTT) maps; e. determining ischemic lesion pixels from said perfusion imaging data, wherein said DT is greater than a predetermined first threshold value and said CBV is below a second threshold value.
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15. A system of identifying ischemic lesions in a subject, the system comprising:
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scanning means for acquiring a perfusion image data of the subject, wherein a contrast agent is administered to the subject during a dynamic imaging scan; storage means for retrieving or receiving image data from the scanning means; processor means comprising; a. loading said perfusion imaging data into an electronic memory means, wherein said perfusion imaging data contains information of a contrast agent passing through a region of interest (ROI), wherein said ROI comprises tissue; b. measuring a global arterial input function AIF from a normal major artery, wherein said AIF is an intensity profile measured against time; c. measuring a tissue contrast agent curve C(t) in said tissue, wherein said C(t) is an intensity profile measured against time; d. deriving perfusion maps by deconvolution of said AIF from said C(t) on a pixel-by-pixel basis using a delay and dispersion compensated deconvolution method, wherein said perfusion maps comprise an arterial delay time (DT) map and at least one of cerebral blood volume (CBV), cerebral blood flow (CBF) and mean transit time (MTT) maps; e. determining ischemic lesion pixels from said perfusion imaging data, wherein said DT is greater than a predetermined first threshold value and said CBV is below a second threshold value. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification