Emory University

Eduard Schreibmann

Tim Fox

Ian R Crocker

Timothy H Fox

Paul Pantalone

Ian Crocker

Methods, systems and computer-readable storage media relate to image-guided treatment planning and treatment assessment. The methods, systems, and the computer-readable storage medias according to embodiments can analyze treatment response and can determine an accurate, outcome-based response assessment of treatment (e.g., radiation treatment). The methods may include a method for determining a treatment response. The method may include registering at least a first image data and a second image data of a subject, the first image data corresponding to a first time point, the second image data corresponding to a second time point, the first time point and the second time point being different with respect to a treatment session and/or treatment stage. The method may include processing the registered image to determine a treatment response. The registering may be based on deformable registration.

Methods, systems and computer readable storage media storing instructions for image-guided treatment planning and assessment

Systems, methods and computer program products identify first biologic data in a region of interest in a first image and calculate a first biologic volume histogram from the first biologic data. Second biologic data in the same region of interest is identified in a second image and a second biologic volume histogram is calculated from the second biologic data. A difference in intensity for the region of interest is determined using the first biologic volume histogram and the second biologic volume histogram.

Assessing tumor response to therapy

Disclosed are systems for and methods of creating a synthetic image by registering a reference or atlas image to a clinical image using both rigid and deformable image registration algorithms. In some embodiments, a synthetic computed tomography (CT) image may be created by registering an atlas CT image to a clinical image such as an MR scan. Rigid registration in some embodiments may be followed by a smoothing B-spline transform algorithm with a mutual information similarity metric and an optimizer; followed then by an image signal intensity algorithm with displacement vectors at each voxel and diffeomorphic transformations.

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Atlanta, GA, United States of America

Eduard Schreibmann