Zobrazeno 1 - 10
of 237
pro vyhledávání: '"G MAGERAS"'
Publikováno v:
Medical physics. 39(6Part3)
Purpose: To evaluate a MV‐kV intra‐fractional imaging technique for use during volume modulated arc therapy (VMAT) with the Varian TrueBeam. Methods: MV‐kV image pairs were acquired intra‐fractionally during VMAT delivery. kV images (11 fps)
Autor:
G MAGERAS, A PEVSNER, E YORKE, K ROSENZWEIG, E FORD, A HERTANTO, S LARSON, D LOVELOCK, Y ERDI, S NEHMEH
Publikováno v:
International Journal of Radiation OncologyBiologyPhysics. 60:933-941
Publikováno v:
Medical Physics. 42:3213-3213
Purpose: We hypothesize that derived image features will improve accuracy of segmenting gross tumor volume (GTV) using (semi-)automatic methods when compared with raw intensities. Features from multi-modal images, however, require more CPU time and m
Autor:
J Mechalakos, J. Yang, A. Apte, Joseph O. Deasy, Paras Babu Tiwari, G Mageras, L Hong, M Hunt, Yixin Chen
Publikováno v:
Medical Physics. 42:3450-3450
Purpose We developed an automated treatment planning system based on a hierarchical goal programming approach. To demonstrate the feasibility of our method, we report the comparison of prostate treatment plans produced from the automated treatment pl
Publikováno v:
Medical Physics. 42:3195-3195
Purpose: Robust detection of implanted fiducials is essential for monitoring intra-fractional motion during hypo-fractionated treatment. We developed a plan optimization strategy to ensure clear visibility of implanted fiducials, and facilitate 3D lo
Publikováno v:
Medical physics. 32(2)
Accurate knowledge of gantry angle is essential in megavoltage cone beam imaging (MVCBI) with an electronic portal imager. We present a method for determining the gantry angle by detecting multileaf collimator (MLC) leaf positions in projection image
Publikováno v:
Medical Physics. 34:2482-2483
Purpose: To simplify the trial‐and‐error process of adjusting objective function parameters (e.g. weights, dose limits) in prostate IMRT planning, we present a feasibility study showing that machine learning followed by a sensitivity‐driven gre
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Publikováno v:
Frontiers of radiation therapy and oncology. 29
Publikováno v:
Medical Physics. 39:3980-3980
Purpose: To develop a robust optimization algorithm which incorporates a Calypso‐guided gating strategy into the optimization process to maximize clinical target volume (CTV) coverage and organs at risk (OAR) sparing in the presence of intra‐frac