A method for generating higher resolution volumetric image data from lower resolution volumetric image data, comprising: receiving volumetric image data of a scanned subject, wherein the volumetric image data includes data representing a periodically moving structure of interest of the scanned subject, and wherein the volumetric image data covers multiple motion cycles of the periodically moving structure of interest; wherein the structure is an anatomical vessel and the motion cycle is a cardiac motion cycle, segmenting the volumetric image data, thereby extracting the periodically moving structure of interest from the received volumetric image data; wherein the segmentation step includes vessel extraction, which allows detection and labeling of different blood vessels surrounding the heart, estimating inter-image motion between neighboring images of the received or segmented volumetric image data; defining a sub-set of the volumetric image data based on the segmented image data, and including images of a motion phase of interest and one or more neighboring images, which are within a predetermined motion threshold range, as part of the sub-set; registering the received or segmented volumetric image data based at least on the estimated inter-image motion and the sub-set of the volumetric image data; generating the higher resolution volumetric image data based on the registered volumetric image data, a super resolution post-processing algorithm, and a point spread function of an imaging system that generated the volumetric image data, wherein the higher resolution volumetric image data has an image resolution that is greater than the lower resolution volumetric image data. receiving volumetric image data of a scanned subject, wherein the volumetric image data includes data representing a periodically moving structure of interest of the scanned subject, and wherein the volumetric image data covers multiple motion cycles of the periodically moving structure of interest; wherein the structure is an anatomical vessel and the motion cycle is a cardiac motion cycle, segmenting the volumetric image data, thereby extracting the periodically moving structure of interest from the received volumetric image data; wherein the segmentation step includes vessel extraction, which allows detection and labeling of different blood vessels surrounding the heart, estimating inter-image motion between neighboring images of the received or segmented volumetric image data; defining a sub-set of the volumetric image data based on the segmented image data, and including images of a motion phase of interest and one or more neighboring images, which are within a predetermined motion threshold range, as part of the sub-set; registering the received or segmented volumetric image data based at least on the estimated inter-image motion and the sub-set of the volumetric image data; generating the higher resolution volumetric image data based on the registered volumetric image data, a super resolution post-processing algorithm, and a point spread function of an imaging system that generated the volumetric image data, wherein the higher resolution volumetric image data has an image resolution that is greater than the lower resolution volumetric image data.