Friedrich-Alexander-Universitat Erlangen-Nürnberg

Massachusetts Institute of Technology

Martin F G Kraus

Joachim Hornegger

James G Fujimoto

Benjamin Michael Potsaid

Ruediger Bock

Markus Anton Mayer

Images of an object, such as OCT scans of a human eye, can include distortions and data gaps due to relative motion of the object and the image acquisition device. Methods and systems for correction of such distortions and data gaps are described herein. Motion-corrected data is arrived at by applying three-dimensional transforms to input three-dimensional data sets that represent at least partially overlapping regions of the imaged object. The three dimensional transforms are computed based on an objective function that accounts for similarity between the transformed three-dimensional data sets and the estimated motion of the object relative to an imaging instrument. Methods and systems described herein advantageously eliminate the need for postulated assumptions and reliance on landmarks and are capable of filling data gaps, thereby producing high quality, undistorted images of objects subject to movement during imaging. Multiple motion-corrected data sets can be merged or combined to produce a data set with improved image quality.

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Cambridge, MA, United States of America

Martin F G Kraus