Jayaram K Udupa

US Patent:

8050473, Nov 1, 2011

Filed:

Feb 13, 2008

Appl. No.:

12/030443

Inventors:

Jayaram K. Udupa - Audubon PA,
Jaimin Liu - Rockville MD,

Assignee:

The Trustees Of The University Of Pennsylvania - Philadelphia PA

International Classification:

G06K 9/00
G06K 9/34
G06K 9/32
G01N 23/00

US Classification:

382128, 382131, 382173, 382294, 378 20

Abstract:

An improved method of segmenting medical images includes aspects of live wire and active shape models to determine the most likely segmentation given a shape distribution that satisfies boundary location constrains on an item of interest. The method includes a supervised learning portion to train and learn new types of shape instances and a segmentation portion to use the learned model to segment new target images containing instances of the shape. The segmentation portion includes an automated search for an appropriate shape and deformation of the shape to establish a best oriented boundary for the object of interest on a medical image.

US Patent:

8270696, Sep 18, 2012

Filed:

Feb 8, 2008

Appl. No.:

12/028332

Inventors:

Jayaram K. Udupa - Audubon PA,
Andre Souza - Webster NY,
George Grevera - Collegeville PA,
Dewey Odhner - Horsham PA,

Assignee:

The Trustees Of The University Of Pennsylvania - Philadelphia PA

International Classification:

G06K 9/00
G06K 9/34

US Classification:

382131, 382130, 382132, 382173, 382181

Abstract:

Methods for the improved interactive segmentation of medical image slice data using a computer include the novel combination of the well-known live wire and snakes methods. The improved techniques automatically insert new anchor points for each medical image slice that is processed. The improved methods called iterative live wire and live snakes result in a segmentation process that is faster, more accurate, and requires less operator interaction than the previous methods while still allowing an operator to make adjustments to the segmentation as the process moves from one image slice to the next.

US Patent:

5812691, Sep 22, 1998

Filed:

Feb 24, 1995

Appl. No.:

8/394231

Inventors:

Jayaram K. Udupa - Audubon PA
Supun Samarasekera - Philadelphia PA

International Classification:

G06K 946

US Classification:

382128

Abstract:

A technique for object information extraction from images which retains fuzziness as realistically as possible. The technique is used for image segmentation of fuzzy objects for n-dimensional digital spaces based on the notion of "hanging togetherness" of image elements specified by their fuzzy connectedness. A specified fuzzy object is extracted and all fuzzy objects present in the image data are identified by segmenting the image using the notion of "hanging togetherness" of image elements specified by their fuzzy connectedness as defined herein. The technique is used in a preferred embodiment to quantify MS lesions of the brain via magnetic resonance imaging.

Author:

Jayaram K. Udupa

ISBN #:

0849342945