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Mcgill University

Universitat Politécnica De Valência

Louis Collins

Pierrick Coupe

Simon Duchesne

Pierre Gravel

Jose Vicente Herrera

A computer-implemented method, an apparatus, and a system for estimating synthetic values of quantitative metrics are provided. They involve calculating new, more accurate boundaries using a classifier based on local intensity and spatial estimators, for the segmentation mask provided by a non-local means patch-based segmentation in a test image, and estimating for the pixels of interest at least one synthetic value of a quantitative metric using a given value of the quantitative metric assigned to the reference images and the boundaries. The method, apparatus, and system provide the advantage of generating synthetic values directly comparable against known values for given subjects or against predetermined scales for diagnostic or prognostic purposes. In the specific case of Alzheimer's disease, the invention stretches the predictive range up to two full decades, which constitutes a significant advance in the field of medical diagnostics.

System and method for estimating synthetic quantitative health values from medical images

A method of classifying a test subject comprises collecting imaging data for a plurality of training subjects, control subjects and a test subject. An intensity volume of interest (VOI) and a morphological VOI are selected from said imaging data. Training intensity data and morphological data are calculated for the intensity and spatial VOI. A statistical model can then be created based on the training intensity data and training spatial data to provide a universe of subjects. Control intensity data and spatial data are also calculated for the intensity and spatial VOI. A classifier can then be built dividing the universe into at least two regions. The test subject data can then be applied to the classifier to provide a determination of whether the test subject falls within the first region or the second region. The condition can be a neurological disease state such as temporal lobe epilepsy or Alzheimer's dementia.

Systems and methods of classification utilizing intensity and spatial data

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St-Lambert, Canada

Louis Collins