Thomas G Mcallister, Age 688 Stanley Ln, Nashua, NH 03062

2012032, Dec 27, 2012

Nov 17, 2010

13/514713

Lyubomir Georgiev Zagorchev - Burlington MA, US
Elizabeth Anne Morre - 's-Hertogenbosch, NL
Matthew A. Garlinghouse - Hanover NH, US
Robert M. Roth - Hanover NH, US
Thomas W. McAllister - Wilmot NH, US
Reinhard Kneser - Aachen, DE
Dieter Geller - Aachen, DE
Jochen Peters - Aachen, DE
Juergen Weese - Aachen, DE
Yuechen Qian - Briarcliff Manor NY, US

TRUSTEES OF DARTMOUTH COLLEGE - HANOVER NH
KONINKLIJKE PHILIPS ELECTRONICS N.V. - EINDHOVEN

G06T 7/00

345419

A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.

2013006, Mar 14, 2013

Feb 2, 2011

13/580390

Lyubomir Georgiev Zagorchev - Burlington MA, US
Reinhard Kneser - Aachen, DE
Dieter Geller - Aachen, DE
Yuechen Qian - Briarcliff Manor NY, US
Juergen Weese - Aachen, DE
Matthew A. Garlinghouse - Hanover NH, US
Robert M. Roth - Lebanon NH, US
Thomas W. McAllister - Wilmot NH, US

KONINKLIJKE PHILIPS ELECTRONICS N.V. - Eindhoven

A61B 6/00

600407

A system and method for identifying an abnormality of an anatomical structure. The system and method segments, using a processor, the anatomical structure imaged in a volumetric image of a plurality of control patients to produce a control segmentation of the anatomical structures of each of the control patients, obtains a normative dataset by extracting a statistical representation of a morphology of the control segmentations, segments the anatomical structure of a patient being analyzed for abnormalities to produce a patient segmentation and compares the patient segmentation to the normative dataset obtained from the control segmentations.