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:
Mar. 17, 2020

Filed:

Apr. 24, 2015
Applicant:

The Trustees of the University of Pennsylvania, Philadelphia, PA (US);

Inventors:

Francisco Contijoch, San Diego, CA (US);

Walter R. T. Witschey, Philadelphia, PA (US);

Robert C. Gorman, Lower Gwynedd, PA (US);

Yuchi Han, Philadelphia, PA (US);

Joseph H. Gorman, III, Lower Gwynedd, PA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/055 (2006.01); G01R 33/567 (2006.01); G01R 33/48 (2006.01); G01R 33/561 (2006.01); G01R 33/56 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0044 (2013.01); A61B 5/055 (2013.01); A61B 5/7289 (2013.01); G01R 33/4824 (2013.01); G01R 33/5614 (2013.01); G01R 33/5676 (2013.01); A61B 2576/023 (2013.01); G01R 33/5608 (2013.01); G01R 33/5611 (2013.01);
Abstract

A retrospective reconstruction method uses cardiac self-gating for patients with severe arrhythmias. Self-gated myocardial systolic and diastolic motion is determined from low-spatial and high-temporal resolution images and then the MRI-dataset is retrospectively reconstructed to obtain high quality images. The method uses undersampled image reconstruction to obtain the low-spatial and high-temporal resolution images, including those of different beat morphologies. Processing of these images is utilized to generate a cardiac phase signal. This signal allows for arrhythmia detection and cardiac phase sorting. The cardiac phase signal allows for detection of end-systolic and diastolic events which allows for improved sampling efficiency. In the case of frequent and severe arrhythmia, the method utilizes data from the normal and interrupted beats to improve sampling and image quality.


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