The Ohio State University

Subha Raman

Orlando P Simonetti

Paulo F U Gotardo

Philip F Binkley

Vidhya Kumar

Kim L Boyer

In some aspects, the present disclosure relates to a method for non-invasively assessing a myocardial region of a subject by computed tomography (CT). In one embodiment, the method comprises: acquiring non-contrast imaging data for a myocardial region of a subject using dual energy computed tomography (DECT) scanning; reconstructing, from the acquired non-contrast imaging data, monochromatic images for a plurality of energy levels in a range of energy levels; determining, based at least in part on the image reconstruction, attenuation values for each respective energy level of the plurality of energy levels; and performing at least one of detection and quantification of myocardial fibrosis based at least in part on differences in the attenuation values across the plurality of energy levels.

Assessing a condition of a subject using non-contrast dual energy computed tomography

A method and apparatus for detecting intraventricular dyssynchrony is provided. In one embodiment, the method includes: a) receiving information from an observer viewing a source image to define a plurality of points associated with muscle boundaries of a ventricle, b) extracting muscle boundaries for a series of source images to define a corresponding series of contour shape images using a Fourier descriptor model, and c) deforming each contour shape based at least in part on image forces, external forces, and internal forces to track movement of the muscle boundaries over time. In another embodiment, the method includes: a) characterizing the series of source images as a corresponding series of contour shape images representative of movement of muscle boundaries of the ventricle over time, b) classifying the series of contour shape images in a dyssynchronous class or a non-dyssynchronous class, and c) pre-diagnosing the ventricle as dyssynchronous or non-dyssynchronous.

Method and apparatus for detecting intraventricular dyssynchrony

Several embodiments of a method and apparatus for detecting interventricular dyssynchrony are provided. In one embodiment, the apparatus includes an image segment processor and an image classifier. The image segment processor may segment left and right ventricles in source images of a subject's heart to form left and right ventricle segments in segmented images. Each source image may include cross sections of the right and left ventricles in common spatial relation along the short axis plane and in common temporal relation in reference to a cardiac cycle. The source images and corresponding segmented images may be temporally-spaced in relation to the cardiac cycle. The image classifier may determine first and second cross-sectional areas associated with the left and right ventricle segments for each segmented image, compare the first and second cross-sectional areas, and classify the subject's heart in an interventricular dyssynchronous class or a non-dyssynchronous class.

Growing community of inventors

Columbus, OH, United States of America

Subha Raman