Abstract: Distortion correction is provided in magnetic resonance imaging. Distortions in one volume are corrected using another volume. The isocenter of the other volume is nearer to an edge of the one volume than the isocenter of the one volume. Using data registration, the other volume is used to correct distortions in the one volume. The other volume may be acquired in little time relative to the acquisition of the one volume by having a smaller field of view, lower resolution, and/or smaller signal-to-noise ratio. The other volume may be a connecting volume for correcting distortions in two volumes to be composed together.

Abstract: A method of dynamic imaging and resolving respiratory motion includes acquiring volume data for a volume over a plurality of respiratory cycles, acquiring respiratory data representative of respiration over the plurality of respiratory cycles, dividing each respiratory cycle of the plurality of respiratory cycles into a set of respiratory intervals based on the respiratory data, and displaying a respective composite three-dimensional image of the volume for each respiratory interval based on the volume data acquired during the respiratory interval from each respiratory cycle of the plurality of respiratory cycles.

Abstract: Small tissue property change detection is provided for magnetic resonance (MR) guided intervention. T1 changes from before and after treatment are compared. The comparison identifies locations of possible change. The comparison is performed for different times, one before and one after a zero-crossing of a signal intensity time curve. Due to the characteristics of the T1 mapping, common locations from the different times will have reversed contrast. Clustering and this reversal are used to distinguish the treatment region from noise.

Abstract: Systems and methods for 2D3D registration of apply MR volumes and X-ray images using DRR techniques. A bone classifier is trained from co-registered UTE1, UTE2 and CT prior images. Dual-echo MR UTE1 and UTE2 images are acquired from a patient. The bone structure of the patient is classified and a labeled segmentation is generated. A DRR image is generated from the labeled segmentation and is registered with an X-ray image of the patient. The registration methods are implemented on a processor based system.

Abstract: Small tissue property change detection is provided for magnetic resonance (MR) guided intervention. T1 changes from before and after treatment are compared. The comparison identifies locations of possible change. The comparison is performed for different times, one before and one after a zero-crossing of a signal intensity time curve. Due to the characteristics of the T1 mapping, common locations from the different times will have reversed contrast. Clustering and this reversal are used to distinguish the treatment region from noise.

Abstract: Distortion correction is provided in magnetic resonance imaging. Distortions in one volume are corrected using another volume. The isocenter of the other volume is nearer to an edge of the one volume than the isocenter of the one volume. Using data registration, the other volume is used to correct distortions in the one volume. The other volume may be acquired in little time relative to the acquisition of the one volume by having a smaller field of view, lower resolution, and/or smaller signal-to-noise ratio. The other volume may be a connecting volume for correcting distortions in two volumes to be composed together.

Abstract: Magnetic resonance imaging (MRI) is used for therapy planning. The motion or position of the treatment region is tracked over time for many cycles using MRI. For temporal resolution, the tracking is done in planes through the tumor at different orientations rather than using three-dimensional scanning. The tracking may be used for calculating a spatial probability density function for the target. Alternatively or additionally, spatiotemporal information derived from the surrogate is compared directly to that from the tracked object to determine the accuracy or robustness of the surrogate-to-target 3D correlation Gating or tracking based on this surrogate may be performed where the comparison indicates that the surrogate is sufficiently reliable (accurate).

Abstract: A method of dynamic imaging and resolving respiratory motion includes acquiring volume data for a volume over a plurality of respiratory cycles, acquiring respiratory data representative of respiration over the plurality of respiratory cycles, dividing each respiratory cycle of the plurality of respiratory cycles into a set of respiratory intervals based on the respiratory data, and displaying a respective composite three-dimensional image of the volume for each respiratory interval based on the volume data acquired during the respiratory interval from each respiratory cycle of the plurality of respiratory cycles.