2019 AAPM Annual Meeting
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Session Title: Optimization in Imaging and Therapy
Question 1: What are some benefits of iterative reconstruction for CBCT?
Reference:J. Nuyts, B. De Man, J. a Fessler, W. Zbijewski, and F. J. Beekman, "Modelling the physics in the iterative reconstruction for transmission computed tomography." Phys. Med. Biol., vol. 58, no. 12, pp. R63-96, Jun. 2013.
Choice A:Noise reduction
Choice B:Reduce cone-beam artifacts
Choice C:Improve HU accuracy
Choice D:All of the above
Question 2: What are some ways to speed up iterative reconstruction?
Reference:A. S. Wang, J. W. Stayman, Y. Otake, S. Vogt, G. Kleinszig, and J. H. Siewerdsen, "Accelerated statistical reconstruction for C-arm cone-beam CT using Nesterov's method," Med. Phys., vol. 42, no. 5, pp. 2699-2708, May 2015.
Choice A:Implementation on GPUs
Choice B:Ordered subsets
Choice C:Momentum-based algorithms such as Nesterov acceleration
Choice D:All of the above
Question 3: What is the proliferation saturation index (PSI)?
Reference:Prokopiou S, Moros EG, Poleszczuk J, Caudell J, Torres-Roca JF, Latifi K, Lee JK, Myerson R, Harrison LB, Enderling H. "A proliferation saturation index to predict radiation response and personalize radiotherapy fractionation." Radiat Oncol. 2015 Jul
Choice A:A measurement of the patient-specific amount of oxygen carried by a red blood cells.
Choice B:A pre-treatment, non-invasive imaging derived biomarker of the proliferative subpopulation in a tumor.
Choice C:A biomarker for radiation-induced cell cycle arrest.
Choice D:An imaging-derived biomarker of hypoxic areas in pre-treatment radiology.
Question 4: How can PSI contribute to radiation personalization?
Reference:Poleszczuk J, Walker R, Moros EG, Latifi K, Caudell JJ, Enderling H. "Predicting Patient-Specific Radiotherapy Protocols Based on Mathematical Model Choice for Proliferation Saturation Index." Bull Math Biol. 2018 May;80(5):1195-1206. doi: 10.1007/s11
Choice A:Simulate different treatment protocols from pre-treatment dynamics to identify best dose and dose fractionation for individual patients.
Choice B:Calculate the total dose to control the tumor for individual patients.
Choice C:Estimate the best treatment protocol to reduce specific toxicities in an average patient population.
Choice D:Predict the synergy of radiation with the patient’s immune system.
Question 5: Which method can be used to solve volumetric modulated arc therapy (VMAT) optimization problem?
Reference:Nguyen D, Lyu Q, Ruan D, O'Connor D, Low DA, Sheng K. "A comprehensive formulation for volumetric modulated arc therapy planning." Med Phys. 2016 Jul;43(7):4263. doi:10.1118/1.4953832.
Choice A:Simulated annealing
Choice B:Progressive sampling
Choice C:Non-progressive sampling
Choice D:All the above
Question 6: Which description of 4Ï€ VMAT optimization is incorrect?
Reference:Lyu Q, Yu VY, Ruan D, Neph R, O'Connor D, Sheng K. "A novel optimization framework for VMAT with dynamic gantry couch rotation." Phys Med Biol. 2018 Jun 13;63(12):125013. doi: 10.1088/1361-6560/aac704.
Choice A:4Ï€ VMAT incorporates couch rotation into the VMAT optimization.
Choice B:4Ï€ VMAT improves dose compactness compared with coplanar VMAT.
Choice C:4Ï€ VMAT performs static beam 4Ï€ IMRT optimization first and then connects the static beams with arcs.
Choice D:Optimized dynamic collimator rotation can be included in 4Ï€ VMAT for additional dosimetric benefits.
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