Koninklijke Philips Corporation N.v.

Yale University

Aaron Abajian

James S Duncan

Susanne Smolka

John Treilhard

Julius Chapiro

MingDe Lin

Johanna Van Breugel

The described implementations relate to systems, methods, and apparatuses for generating regions of interest () from imaging data (). Specifically, the regions of interest are generated for tracking treatment efficacy in a more consistent and repeatable manner. The regions of interest can be generated from contrast medium and non-contrast medium enhanced scans () of a patient. Voxel data derived from the scans can be collected and distributed according to respective intensity values in order to identify mode voxels () for particular ranges () of intensities. Regions of interest () can then be generated for each identified mode voxel, and standard deviations for the regions of interest can be determined. One or more thresholds can be derived from the determined standard deviations in order to further filter the intensity values and identify filtered groups of voxels to be the resulting regions of interest.

Systems, methods, and apparatuses for generating regions of interest from voxel mode based thresholds

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Cambridge, MA, United States of America

Aaron Abajian