Hiram G Bezerra

20120075638, Mar 29, 2012

Aug 2, 2011

13/196845

Andrew Rollins - Highland Hts OH, US
David Wilson - Clev. Hts. OH, US
Marco Costa - Pepper Pike OH, US
Hiram Bezerra - Shaker Heights OH, US
Zhao Wang - Cleveland OH, US

CASE WESTERN RESERVE UNIVERSITY - Cleveland OH

G01B 9/02
G06K 9/00

356479, 382131

A system and related methods for automatic or semi-automatic segmentation and quantification of blood vessel structure and physiology, including segmentation and quantification of lumen, guide wire, vessel wall, calcified plaques, fibrous caps, macrophages, metallic and bioresorbable stents are described, and including visualization of results. Calcified plaque segmentation can be used to estimate the distribution of superficial calcification and inform strategies stenting. Volumetric segmentation and quantification of fibrous caps can provide more comprehensive information of the mechanisms behind plaque rupture. Quantification of macrophages can aid diagnosis and prediction of unstable plaque and associated acute coronary events. Automated detection and quantification of metallic and bioresorbable stents can greatly reduce the analysis time and facilitate timely decision making for intervention procedures.

20200327664, Oct 15, 2020

Feb 10, 2020

16/786058

- Cleveland OH, US
David Prabhu - Dublin OH, US
Chaitanya Kolluru - Cleveland OH, US
Yazan Gharaibeh - Cleveland OH, US
Hiram G. Bezerra - Cleveland OH, US
Hao Wu - Cleveland OH, US

G06T 7/00
G06T 5/20
G06K 9/62
G06N 5/00
G06N 20/10

Embodiments discussed herein facilitate classification of vascular plaque. One example embodiment can: access vascular imaging data comprising one or more slices, wherein each slice comprises a plurality of A-lines of that slice; for each A-line of the plurality of A-lines of each slice of the one or more slices: extract one or more features for that A-line, wherein the one or more features for that A-line comprise at least one of: one or more features extracted from that A-line, one or more features extracted from the slice comprising that A-line, or one or more features extracted from the vascular imaging data; provide the one or more features for that A-line to at least one classifier; and generate a classification of that A-line via the at least one classifier, wherein the classification of that A-line is one of fibrocalcific, fibrolipidic, or other.

20170169566, Jun 15, 2017

Sep 22, 2016

15/273405

- Cleveland OH, US
David L. Wilson - Cleveland Heights OH, US
Hiram G. Bezerra - Cleveland OH, US
Soumya Ray - Cleveland Heights OH, US

G06T 7/00
G06K 9/52
G06K 9/46
G06K 9/62

This disclosure provides systems and methods to automatically classify stent struts as covered or uncovered and to measure the thickness of tissue coverage. As one example, the method includes storing three-dimensional image data acquired intravascularly via an optical coherence tomography (OCT) apparatus and detecting struts based on analysis of the image data. Image data corresponding to each of the detected struts is further analyzed automatically to compute an indication of tissue coverage for the stent.

20160213253, Jul 28, 2016

Jan 27, 2016

15/007769

- Cleveland OH, US
Andrew M. Rollins - Highland Heights OH, US
David L. Wilson - Cleveland Heights OH, US
Hiram G. Bezerra - Shaker Heights OH, US

A61B 5/00

A method includes storing three-dimensional image data acquired intravascularly via an optical coherence tomography (OCT) apparatus. The image data is analyzed to compute a probability estimate of stent presence at support positions appearing in an A-line. Stent strut locations are located in three-dimensional space based on the computed probability estimate of stent presence.