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PURPOSE Validating the usage of deformable image registration (dir) for daily patient positioning is critical for adaptive radiotherapy (RT) applications pertaining to head and neck (HN) radiotherapy. The authors present a methodology for generating biomechanically realistic ground-truth data for validating dir algorithms for HN anatomy by (a) developing a(More)
PURPOSE Real-time adaptive planning and treatment has been infeasible due in part to its high computational complexity. There have been many recent efforts to utilize graphics processing units (GPUs) to accelerate the computational performance and dose accuracy in radiation therapy. Data structure and memory access patterns are the key GPU factors that(More)
PURPOSE Traditional radiation therapy of cancer is heavily dependent on CT. CT provides excellent depiction of the bones but lacks good soft tissue contrast, which makes contouring difficult. Often, MRIs are fused with CT to take advantage of its superior soft tissue contrast. Such an approach has drawbacks. It is desirable to perform treatment simulation(More)
PURPOSE To compute the delivered dose for head and neck (H&N) radiotherapy sccounting for the patient setup variations as well as physiologic changes during the entire treatment course. METHODS The real-time dose delivery documentation framework consisted of three components, a GPU based multi-resolution optical flow based 3D registration framework, a GPU(More)
PURPOSE The purpose of this project is to derive high precision elastography measurements from 4DCT lung scans to facilitate the implementation of elastography in a radiotherapy context. METHODS 4DCT scans of the lungs were acquired, and breathing stages were subsequently registered to each other using an optical flow DIR algorithm. The displacement of(More)
PURPOSE The purpose of this work is to develop a cardiac-induced lung motion model to be integrated into an existing breathing motion model. METHODS The authors' proposed cardiac-induced lung motion model represents the lung tissue's specific response to the subject's cardiac cycle. The model is mathematically defined as a product of a converging(More)
PURPOSE A recently proposed 4D-CT protocol uses deformable registration of free-breathing fast-helical CT scans to generate a breathing motion model. In order to allow accurate registration, free-breathing images are required to be free of doubling-artifacts, which arise when tissue motion is greater than scan speed. This work identifies the minimum scanner(More)
PURPOSE To investigate the feasibility of improved normal tissue sparing for head-and-neck (H' N) image-guided radiotherapy (IGRT) by employing tighter CTV-to-PTV margins for target level II/III though a GPU-based deformable image registration and dose accumulation framework. METHODS Ten H' N simultaneous integrated boost cases treated on TomoTherapy were(More)
PURPOSE The focus of this work was to determine the quantitative relationship between the spectrum-sampling rate and the dose calculation accuracy of a GPU-accelerated convolution/superposition dose algorithm. METHODS AND MATERIALS The GPU-accelerated dose algorithm is a convolution/superposition that samples, in a hyper-spherical fashion, the volume(More)