US 10,832,403 B2Granted

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

AssigneesKoninklijke Philips N.V., Yale University

InventorsJohanna Van Breugel, Aaron Abajian, John Treilhard, Susanne Smolka, Julius Chapiro, James Duncan, MingDe Lin

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Abstract

The described implementations relate to systems, methods, and apparatuses for generating regions of interest (214) from imaging data (212). 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 (102) 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 (116, 118, 120) for particular ranges (128) of intensities. Regions of interest (110, 112, 114) 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.

Claims17

Dependent claims

A method implemented by one or more processors, the method comprising:

receiving imaging data corresponding to three-dimensional scans of organ tissue, the imaging data based on a comparison between one or more contrast medium enhanced scans of a patient and one or more non-contrast medium enhanced scans of the patient;
processing voxels of the imaging data to identify one or more modes from the imaging data, wherein the one or more modes are identified from one or more distributions of enhancement values of the voxels over ranges of the enhancement values;
generating a region of interest for a mode voxel corresponding to the determined one or more modes, wherein the region of interest identifies a volume of data corresponding to a region surrounding the mode voxel;
generating a tissue threshold value for the enhancement values based on standard deviations of the enhancement values for particular voxels within the region of interest by arranging the standard deviations according to an absolute value of each standard deviation of the standard deviations and designating a range of the arranged standard deviations as corresponding to healthy organ tissue;
and
identifying a group of voxels corresponding to threshold enhancement values that satisfy the tissue threshold value.

3 more elements

A non-transitory computer-readable medium configured to store instructions that, when executed by one or more processors, cause the one or more processors to perform operations that include:

receiving imaging data corresponding to three-dimensional scans organ tissue, the imaging data based on a comparison between one or more contrast medium enhanced scans of a patient and one or more non-contrast medium enhanced scans of the patient;
processing voxels of the imaging data to identify one or more modes from the imaging data, wherein the one or more modes are identified from one or more distributions of enhancement values of the voxels over ranges the enhancement values;
generating a region of interest for a mode voxel corresponding to the determined one or more modes, wherein the region of interest identifies a volume of data corresponding to a region surrounding the mode voxel;
generating a tissue threshold value for the enhancement values based on standard deviations of the enhancement values for particular voxels within the region of interest by arranging the standard deviations according to an absolute value of each standard deviation of the standard deviations and designating a range of the arranged standard deviations as corresponding to healthy organ tissue;
and
identifying a group of voxels corresponding to threshold enhancement values that satisfy the tissue threshold value.

3 more elements

A system, comprising:

one or more processors;
and
memory configured to store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations that include:
receiving imaging data corresponding to three-dimensional scans of organ tissue, the imaging data based on a comparison between one or more contrast medium enhanced scans of a patient and one or more non-contrast medium enhanced scans of the patient;
processing voxels of the imaging data to identify one or more modes from the imaging data, wherein the one or more modes are identified from one or more distributions of enhancement values of the voxels over ranges of the enhancement values;
generating a region of interest for a mode voxel corresponding to the determined one or more modes, wherein the region of interest identifies a volume of data corresponding to a region surrounding the mode voxel;
generating a tissue threshold value for the enhancement values based on standard deviations of the enhancement values for particular voxels within the region of interest by arranging the standard deviations according to an absolute value of each standard deviation of the standard deviations and designating a range of the arranged standard deviations as corresponding to healthy organ tissue;
and
identifying a group of voxels corresponding to threshold enhancement values that satisfy the tissue threshold value.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/978,904Filed 14 May 2018
Published: US 2019/0347788 A114 Nov 2019
Granted: 10 Nov 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification14 codes

G06T 7/0012
Inspection of images, e.g. flaw detection: biomedical image inspection
G16H 30/40
ICT specially adapted for the handling or processing of medical images: for processing medical images, e.g. editing
A61B 5/4869
Other medical applications: determining body composition
G06T 7/11
Segmentation; Edge detection: region-based segmentation