Abstract: 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.

Abstract: 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.

Abstract: Methods, systems and computer-readable storage media relate to generating a treatment plan for a patient having a patient record. The methods, systems, and the computer-readable storage medias according to embodiments can automatically generate a treatment plan for the patient using (reference) records from previous plans. The system may include: a comparison module configured to compare anatomical information of a plurality of reference records and the patient record; a comparison quantification module configured to determine a metric corresponding to a degree of matching between each reference record and patient record; a reference record selection module configured to select a reference record from the plurality of reference records based on the metric; and a treatment plan generation module configured to generate a treatment plan for the patient based on the selected reference record.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.