Gheorghe Iordanescu from 8540 Keystone Ave, Skokie, IL 60076, Phone: 8476733390

Automated Centerline Detection Algorithm For Colon-Like 3D Surfaces
view source
US Patent:

7570802, Aug 4, 2009
Filed:

Dec 18, 2002
Appl. No.:

10/500342
Inventors:

Gheorghe Iordanescu - Rockville MD, US
Ronald M. Summers - Potomac MD, US
Juan Raul Cebral - Vienna VA, US
Assignee:

The United States of America as represented by the Secretary of the Department of Health and Human Services - Washington DC
International Classification:

G06K 9/00
US Classification:

382154, 382128, 382130, 382131, 382133, 600407
Abstract:

A three dimensional image of the colon like surface is processed to determine at least its ring structure. The image is composed of vertex points, each vertex point having a discrete point identifier and three dimensional position information. The three dimensional position information is averaged in a shrinking procedure to contract the three dimensional image proximate to a major axis of the colon-like surface. Evenly spaced points are taken through the shrunken colon like surface and connected to form a curve. Planes are generated at intervals normal to the curve to split the shrunken colon like surface into image segments. By mapping these image segments back to the original image through their discrete point identifiers, an accurate ring profile of the colon like surface can be generated.

Computer-Aided Classification Of Anomalies In Anatomical Structures
view source
US Patent:

7646904, Jan 12, 2010
Filed:

Jul 9, 2007
Appl. No.:

11/775011
Inventors:

Ronald M. Summers - Potomac MD, US
Marek Franaszek - Gaithersburg MD, US
Gheorghe Iordanescu - Rockville MD, US
Assignee:

The United States of America as represented by the Department of Health and Human Services - Washington DC
International Classification:

G06K 9/00
US Classification:

382128
Abstract:

Candidate anomalies in an anatomical structure are processed for classification. For example, false positives can be reduced by techniques related to the anomaly's neck, wall thickness associated with the anomaly, template matching performed for the anomaly, or some combination thereof. The various techniques can be combined for use in a classifier, which can determine whether the anomaly is of interest. For example, a computed tomography scan of a colon can be analyzed to determine whether a candidate anomaly is a polyp. The technologies can be applied to a variety of other scenarios involving other anatomical structures.

Computer-Aided Classification Of Anomalies In Anatomical Structures
view source
US Patent:

8189890, May 29, 2012
Filed:

Nov 30, 2009
Appl. No.:

12/627958
Inventors:

Ronald M. Summers - Potomac MD, US
Marek Franaszek - Gaithersburg MD, US
Gheorghe Iordanescu - Rockville MD, US
Assignee:

The United States of America as represented by the Secretary of the Department of Health and Human Services - Washington DC
International Classification:

G06K 9/00
US Classification:

382128, 382131, 382132
Abstract:

Candidate anomalies in an anatomical structure are processed for classification. For example, false positives can be reduced by techniques related to the anomaly's neck, wall thickness associated with the anomaly, template matching performed for the anomaly, or some combination thereof. The various techniques can be combined for use in a classifier, which can determine whether the anomaly is of interest. For example, a computed tomography scan of a colon can be analyzed to determine whether a candidate anomaly is a polyp. The technologies can be applied to a variety of other scenarios involving other anatomical structures.

Computer-Aided Classification Of Anomalies In Anatomical Structures
view source
US Patent:

20040064029, Apr 1, 2004
Filed:

Sep 26, 2003
Appl. No.:

10/671749
Inventors:

Ronald Summers - Potomac MD, US
Marek Franaszek - Gaithersburg MD, US
Gheorghe Iordanescu - Rockville MD, US
Assignee:

The Government of the USA as Represented by the Secretary of the Dept. of Health & Human Services
International Classification:

A61B005/05
US Classification:

600/407000
Abstract:

Candidate anomalies in an anatomical structure are processed for classification. For example, false positives can be reduced by techniques related to the anomaly's neck, wall thickness associated with the anomaly, template matching performed for the anomaly, or some combination thereof. The various techniques can be combined for use in a classifier, which can determine whether the anomaly is of interest. For example, a computed tomography scan of a colon can be analyzed to determine whether a candidate anomaly is a polyp. The technologies can be applied to a variety of other scenarios involving other anatomical structures.

Quantification Of Plaques In Neuroimages
view source
US Patent:

20110103656, May 5, 2011
Filed:

Apr 16, 2010
Appl. No.:

12/762179
Inventors:

Gheorghe Iordanescu - Skokie IL, US
Palamadai N. Venkatasubramanian - Morton Grove IL, US
Alice Wyrwicz - Lake Forest IL, US
International Classification:

G06K 9/00
US Classification:

382128
Abstract:

A system and method for determining the location and density of plaques in a neuroimage is disclosed according to one embodiment of the invention. In some embodiments, catchment basins are identified as potential plaque areas (candidate regions) in the neuroimage. The Laplacian of each element within the catchment basins can be calculated and the highest Laplacian in the catchment basin identified as a candidate feature. The local contrast can be computed as the ratio between the local minimum of the catchment basin and the average (or some other statistic like the maximum or minimum) intensity of the neighboring watersheds can be used as another candidate feature. In some embodiments, a classifier can be used to discriminate the candidates into plaques or non-plaques, since plaques tend to have a larger Laplacian and larger local contrast than other brain structures.

Gheorghe Iordanescu