Jeremy S Brown

US Patent:

20120189176, Jul 26, 2012

Filed:

Nov 28, 2011

Appl. No.:

13/305495

Inventors:

Maryellen L. Giger - Elmhurst IL, US
Robert Tomek - Chicago IL, US
Jeremy Bancroft Brown - Chicago IL, US
Andrew Robert Jamieson - Chicago IL, US
Li Lan - Hinsdale IL, US
Michael R. Chinander - Chicago IL, US
Karen Drukker - Crete IL, US
Hui Li - Naperville IL, US
Neha Bhooshan - Potomac MD, US
Gillian Newstead - Chicago IL, US

International Classification:

G06K 9/46

US Classification:

382128

Abstract:

Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.

US Patent:

20160078624, Mar 17, 2016

Filed:

Oct 20, 2015

Appl. No.:

14/887678

Inventors:

Maryellen L. GIGER - Elmhurst IL, US
Robert TOMEK - Chicago IL, US
Jeremy Bancroft BROWN - Chicago IL, US
Andrew Robert JAMIESON - Chicago IL, US
Li LAN - Hinsdale IL, US
Michael R. CHINANDER - Chicago IL, US
Karen DRUKKER - Crete IL, US
Hui Li - Naperville IL, US
Neha BHOOSHAN - Potomac MD, US
Gillian NEWSTEAD - Chicago IL, US

International Classification:

G06T 7/00
G06T 7/40
G06T 19/20
G06T 15/08
G06T 17/00

Abstract:

Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.