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US 2007/0167727 A1Published application
Magnetic resonance spatial risk map for tissue outcome prediction
AssigneeThe General Hospital Corporation
InventorsNina Menezes, Alma Sorensen
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Abstract
Diffusion weighted images and perfusion weighted images are acquired with an MRI system and used to produce low b, DWI, ADC, CBV, CBF, and MTT images of brain tissues following an ischemic event. These MRI physiological measurements are input along with a spatial location measurement to a generalized linear model that predicts the outcome of tissues surrounding a lesion.
Claims12
A method for predicting tissue fate, the steps comprising:
- a) acquiring data from the tissues with a magnetic resonance imaging (MRI) system that contains information indicative of a physiological parameter related to tissue health;
- b) reconstructing an image of the tissues from the acquired data;
- c) calculating from the acquired data a physiological parameter at tissue locations in the reconstructed image;
- d) selecting a core region in the reconstructed image;
- e) calculating a location parameter related to the distance of each of said tissue locations from the core region;
- and
- f) predicting the fate of tissues at each of said tissue locations using a predetermined model that employs as inputs the physiological parameter and the location parameter.
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