Ozgur Ates

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The bandwidth requirements for the nextgeneration wireless applications are increasing. The newest standards such as the WirelessHD aim to transmit signals at high speed in the range of multi-Gigabit per second (Gbps). At this rate, the processing effort of the baseband signals becomes challenging. In this paper, we propose to use GPGPU for parallel(More)
PURPOSE To develop a tool that can quickly and automatically assess contour quality generated from auto segmentation during online adaptive replanning. METHODS Due to the strict time requirement of online replanning and lack of 'ground truth' contours in daily images, our method starts with assessing image registration accuracy focusing on the surface of(More)
PURPOSE The introduction of MR-guided radiation therapy (RT), e.g., MR-Linac, would allow dose painting to adapt spatial RT response revealed from MRI data during the RT delivery. The purpose of this study is to investigate the use of an online replanning method to adapt dose painting from the MRI Apparent Diffusion Coefficient (ADC) map acquired during the(More)
PURPOSE To develop a fast replanning algorithm based on segment aperture morphing (SAM) for online replanning of volumetric modulated arc therapy (VMAT) with flattening filter free (FFF) beams. METHODS A software tool was developed to interface with a VMAT research planning system, which enables the input and output of beam and machine parameters of VMAT(More)
PURPOSE In a situation where a couch shift for patient positioning is not preferred or prohibited (e.g., MR-linac), segment aperture morphing (SAM) can address target dislocation and deformation. For IMRT/VMAT with flattening-filter-free (FFF) beams, however, SAM method would lead to an adverse translational dose effect due to the beam unflattening. Here(More)
PURPOSE The purpose of this study is to report the clinical implementation of an online replanning process with CT-on-Rails to address daily interfractional variations. METHODS A treatment planning package (MONACO/ADMIRE/MOSAIQ, Elekta) is used to perform online adaptive replanning, using segment aperture morphing (SAM) algorithm implemented in MONACO,(More)
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