The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 06, 2018

Filed:

Nov. 20, 2014
Applicant:

Children's National Medical Center, Washington, DC (US);

Inventors:

Marius George Linguraru, Washington, DC (US);

Juan Jose Cerrolaza, Washington, DC (US);

Nabile M Safdar, Laurel, MD (US);

Raymond Sze, McLean, VA (US);

Laurie S Conklin, Columbia, MD (US);

Assignee:

CHILDREN'S NATIONAL MEDICAL CENTER, Washington, DC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/05 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 7/38 (2017.01);
U.S. Cl.
CPC ...
A61B 5/055 (2013.01); A61B 5/4255 (2013.01); G06T 7/0012 (2013.01); G06T 7/20 (2013.01); G06T 7/38 (2017.01); A61B 2576/02 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/30028 (2013.01);
Abstract

Discussed herein is an image processing device and a corresponding method for assessing inflammatory bowel diseases. A plurality of dynamic MRI sequence of images of a bowel that include peristalsis information of the bowel and static MRI image(s) of the bowel that identify at areas of inflammation, stenosis, and increased mural thickness of the bowel are processed. A displacement of the bowel caused by respiration of the patient is conducted on the dynamic MRI sequences by performing a non-rigid registration. A peristaltic activity is determined by performing motion flow analysis on the dynamic sequences of images. A peristaltic activity of the static MRI image(s) based on a weighted sum of two closest dynamic MRI sequences of images is computed and the static image is combined with the closest dynamic MRI sequence of images by performing a multi-modal registration.


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