General Electric Company

Girishankar Gopalakrishnan

Scott David Wollenweber

Alexander Ganin

Kris Filip Johan Jules Thielemans

Arunabha Shasanka Roy

Ravindra Mohan Majeshwar

Ravindra Mohan Manjeshwar

Floribertus P M Heukensfeldt Jansen

Evren Asma

Floribertus Pm Heukensfeldt Jansen

Methods and systems for processing a set of images are described. In accordance with this disclosure, images are registered and an analysis is performed in view of one or more constraints (such as constraints based upon anatomical or physiological considerations). Weighting factors are determined based on the analysis. The weighting factors are used in subsequent processing of the registered (and/or unregistered) images and/or to formulate a visualization that conveys the degree of confidence in the motion estimation used in the registration process.

Motion compensation in image processing

A method for determining the effectiveness of an image transformation process includes acquiring a four-dimensional (4D) image data set, sorting the 4D image data set into separate field-of-view bins using a temporal gating system generating a plurality of deformation vectors using the sorted 4D image data set, and using the plurality of deformation vectors to generate a transformation effectiveness value that is representative of the effectiveness of the image transformation process. The method further includes acquiring a respiratory signal, calculating a power spectrum of the respiratory signal, calculating a power spectrum for each of the plurality of deformation vectors, and comparing the power spectrum of the respiratory signal to the power spectrum of the plurality of deformation vectors to generate the transformation effectiveness value.

Method and apparatus for determining the effectiveness of an image transformation process

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Bengaluru, India

Girishankar Gopalakrishnan