Abstract: Methods and systems are proposed herein for performing manual matching of generated digitally reconstructed radiographs with acquired verification images efficiently without intensive processing and/or memory consumption or hardware requirements. According to one aspect of the claimed subject matter, a system is provided that includes a computing workstation, communicatively coupled to both a data storage device and an image acquisition device. Real time images acquired by the image acquisition device are presented to the user along with one or more digitally reconstructed radiographs (DRRs)—generated using dynamically selected rendering techniques—from previously acquired image data. The user is able to verify the DRRs as a match to the real time image, or, alternately, to dynamically generate additional DRRs more suitable by actuating a portion of the generated DRR. Based on the user actuation, a new DRR is generated and presented to the user for verification.

Abstract: A method and system for providing intensity modulated radiation therapy to a moving target is disclosed. According to a preferred embodiment of the invention, a treatment plan for providing radiotherapy using a multi-leaf collimator (“MLC”) comprises a plurality of sub-plans, each of which is optimized for a different phase of target movement. Movements of the treatment target are tracked in real time, and the choice of which sub-plan to implement is made in real time based on the tracked position of the target. Each of the sub-plans is preferably formulated to minimize interplay effects between target movements and MLC leaf movements, consistent with other planning goals. In addition, the sub-plans preferably include a predicted region corresponding to the next anticipated position of the target, in order to facilitate the transition to the next position.

Abstract: Determine first information regarding physical-movement limitations pertaining to at least one multi-leaf collimator and also determine second information regarding movement of the treatment target with respect to the given patient. Then, while optimizing a radiation-treatment leaf-sequence plan, constrain individually-planned leaf positions as a function, at least in part, of the first information, the second information, and planned positions of adjacent leaves. By one approach, the first information can comprise information regarding a speed (such as a maximum speed) at which individual leaves of the multi-leaf collimator are able to move during a treatment session. By one approach, the second information can comprise information regarding a distance (such as a maximum distance) that one or more parts of the treatment target may possibly move as compared to a presumed position used during the optimizing of the radiation-treatment leaf-sequence plan.