Method of evaluating concomitant clinical dementia rating and its future outcome using predicted age difference and program thereof
AssigneeAcroviz USA Inc.
InventorsWen-Yih Tseng, Yung-Chin Hsu
Life of this patent
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Abstract
A method of quantitatively evaluating a cognitive impairment and its future change from a medical image of an individual's brain, the method comprising scanning the individual's brain with a scanning device so as to acquire at least one medical brain image; processing the medical brain image to obtain at least one feature of the image; using a pre-established prediction model to determine a condition of the cognitive impairment and predict its future change based on the at least one feature obtained.
Claims18
A method of quantitatively evaluating a cognitive impairment and its future change from a medical image of an individual's brain, the method comprising:
- (1) scanning the individual's brain with a scanning device so as to acquire at least one medical brain image;
- (2) processing the medical brain image to obtain at least one feature of the image;
- (3) using a pre-established prediction model to determine a condition of the cognitive impairment and predict its future change based on the at least one feature obtained;
- and
- (4) outputting the condition of cognitive impairment and its future change in an output terminal;
- wherein the pre-established prediction model comprises at least a brain age model.
A method for evaluating the clinical dementia rating (CDR) of an individual and CDR's future change from predicted age difference (PAD) based on MRI data of the individual's brain, comprising:
- (1) scanning the individual's brain with a MRI scanning device so as to acquire MRI data of the individual's brain using T1-weighted (T1w) imaging and diffusion tensor imaging (DTI) sequences;
- (2) processing the acquired T1w data so as to obtain white matter (WM) and grey matter (GM) image segments;
- (3) registering the WM and GM image segments obtained in the step (2) to the MNI space to obtain the deformation map of the individual's brain;
- (4) correcting artifacts of the DTI data;
- (5) obtaining fractional anisotropy (FA) and mean diffusivity (MD) maps for the individual in native space based on the artifact corrected DTI data;
- (6) extracting FA and MD values of WM region of the individual's brain using the FA and MD maps obtained in the step (5) and the deformation map obtained in the step (3);
- (7) calculating the WM PAD by inputting the extracted FA and MD of WM to an established dMRI-brain age model;
- (8) predicting the CDR and CDR change of the individual from the WM PAD using a CDR prediction model and a CDR change prediction model;
- and
- (9) outputting the CDR and CDR change in an output terminal.
Dependencies are inferred from the claim text.