Research and Presentations

Our physicists are leaders in the field who have contributed to journal publications, scientific presentations, educational lectures, and conference abstracts related to advanced radiotherapy techniques including radiosurgery, SBRT, and adaptive radiotherapy.

Motion Management, Image Guidance, and Intrafraction Motion

  • Adamson J, Wu Q. Prostate intrafraction motion evaluation using kV fluoroscopy during treatment delivery: a feasibility and accuracy study. Med Phys. 2008;35(5):1793–1806. PMID: 18561654. PMCID: PMC2507873.

  • Adamson J, Wu Q. Optimizing monoscopic kV fluoro acquisition for prostate intrafraction motion evaluation. Phys Med Biol. 2009;54(1):117–133. PMID: 19075358. PMCID: PMC2681247.

  • Adamson J, Wu Q. Inferences about prostate intrafraction motion from pre- and posttreatment volumetric imaging. Int J Radiat Oncol Biol Phys. 2009;75(1):260–267. PMID: 19515507. PMCID: PMC2730426.

  • Adamson J, Wu Q. Prostate intrafraction motion assessed by simultaneous kilovoltage fluoroscopy at megavoltage delivery I: clinical observations and pattern analysis. Int J Radiat Oncol Biol Phys. 2010;78(5):1563–1570. PMID: 20579817. PMCID: PMC2974954.

  • Adamson J, Wu Q. Prostate intrafraction motion assessed by simultaneous kV fluoroscopy at MV delivery II: adaptive strategies. Int J Radiat Oncol Biol Phys. 2010;78(5):1323–1330. PMID: 20584578. PMCID: PMC2948079.

  • Adamson J, Wu Q, Yan D. Dosimetric effect of intrafraction motion and residual setup error for hypofractionated prostate IMRT with online cone beam CT image guidance. Int J Radiat Oncol Biol Phys. 2011;80(2):453–461. PMID: 20646842. PMCID: PMC3010484.

  • Adamson J, Zhuang T, Yin FF. Contour based respiratory motion analysis for free breathing CT. Comput Biol Med. 2011;41(10):908–915. PMID: 21839991.

MRI, Imaging, and Adaptive / Functional Imaging

  • Adamson J, Chang Z, Wang Z, Yin FF, Cai J. Maximum intensity projection imaging using slice-stacking MRI. Med Phys. 2010;37(11):5914–5920. PMID: 21158304.

  • Wang C, Yin FF, Chang Z. An efficient calculation method for pharmacokinetic parameters in brain permeability study using dynamic contrast-enhanced MRI. Magn Reson Med. 2016;75(2):739–749.

  • Wang C, Subashi E, Yin FF, Chang Z. Dynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI. Med Phys. 2016;43(3):1335–1347.

  • Wang C, Subashi E, Liang X, Yin FF, Chang Z. Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study. Phys Med Biol. 2016;61(13):4763–4780.

  • Wang C, Horton JK, Yin FF, Chang Z. Assessment of treatment response with diffusion-weighted MRI and dynamic contrast-enhanced MRI in patients with early-stage breast cancer treated with single-dose preoperative radiotherapy: initial results. Technol Cancer Res Treat. 2016;15(5):651–660.

  • Wang C, Yin FF, Kirkpatrick JP, Chang Z. Accelerated brain DCE-MRI using iterative reconstruction with total generalized variation penalty for quantitative pharmacokinetic analysis: a feasibility study. Technol Cancer Res Treat. 2017;16(4):446–460.

  • Wang C, Yin FF, Segars WP, Chang Z, Ren L. Development of a computerized 4-D MRI phantom for liver motion study. Technol Cancer Res Treat. 2017;16(6):1051–1059.

  • Harris W, Yin FF, Wang C, Zhang Y, Cai J, Ren L. Accelerating volumetric cine MRI (VC-MRI) using undersampling for real-time 3D target localization/tracking in radiation therapy: a feasibility study. Phys Med Biol. 2017;63(1):01NT01.

  • Harris W, Wang C, Yin FF, Cai J, Ren L. A novel method to generate on-board 4D MRI using prior 4D MRI and on-board kV projections from a conventional LINAC for target localization in liver SBRT. Med Phys. 2018;45(7):3238–3245.

  • Liang X, Yin FF, Wang C, Cai J. A robust deformable image registration enhancement method based on radial basis function. Quant Imaging Med Surg. 2019;9(7):1315–1325.

  • Kelsey CR, Christensen JD, Chino JP, Adamson J, Ready NE, Perez BA. Adaptive planning using positron emission tomography for locally advanced lung cancer: a feasibility study. Pract Radiat Oncol. 2016;6(2):96–104.

  • Eckrich C, Lee B, Wang C, Light K, Chino J, Rodrigues A, Craciunescu O. Evaluation of cumulative dose distributions from external beam radiation therapy using CT-to-CBCT deformable image registration for cervical cancer patients. J Appl Clin Med Phys. 2025;26(1):e14538.

  • Ginn J, Wang C, Yang D. Real-time 3D MR guided radiation therapy through orthogonal MR imaging and manifold learning. Med Phys. 2025;52(3):1390–1398.

SRS / Multi-Target Radiosurgery / Brain Metastases

  • Stanhope C, Chang Z, Wang Z, Yin FF, Kim G, Salama JK, Kirkpatrick J, Adamson J. Physics considerations for single-isocenter volumetric modulated arc radiosurgery for multiple intracranial targets. Pract Radiat Oncol. 2016;6(3):207–213.

  • Morrison J, Hood R, Yin FF, Salama JK, Kirkpatrick J, Adamson J. Is a single isocenter sufficient for VMAT radiosurgery when multiple intracranial metastases are spatially dispersed? Med Dosim. 2016;42(1):1–6.

  • Birer SR, Olson AC, Adamson J, Hood R, Susen M, Kim G, Salama JK, Kirkpatrick JP. Hippocampal dose from stereotactic radiosurgery for 4 to 10 brain metastases. Med Dosim. 2017;42(4):310–316.

  • Limon D, McSherry F, Herndon J, Sampson J, Fecci P, Adamson J, Wang Z, Yin FF, Floyd S, Kirkpatrick J, Kim GJ. Single fraction stereotactic radiosurgery for multiple brain metastases. Adv Radiat Oncol. 2017;2(4):555–563.

  • Abisheva Z, Floyd SR, Salama JK, Kirkpatrick J, Yin FF, Moravan MJ, Giles W, Adamson J. The effect of MLC leaf width in single-isocenter multi-target radiosurgery with VMAT. J Radiosurg SBRT. 2019;6(2):131–138.

  • Giles WM, Cullom ET, Laryea OA, Nobah A, Alves VGL, Yin FF, Kirkpatrick JP, Adamson JD. Radiosurgery treatment planning using conformal arc informed VMAT. Med Dosim. 2021;46(1):3–12.

  • Gude Z, Adamson J, Kirkpatrick JP, Giles W. Hippocampal avoidance in multitarget radiosurgery. Cureus. 2021;13(6).

  • Cullom ET, Xia Y, Chuang KC, Gude ZW, Zlateva Y, Adamson JD, Giles WM. Single isocenter SRS using CAVMAT offers improved robustness to commissioning and treatment delivery uncertainty compared to VMAT. J Appl Clin Med Phys. 2021;22(7):36–43.

  • Kim GJ, Buckley ED, Herndon JE, Allen KJ, Dale TS, Adamson JD, Lay L, Giles WM, Rodrigues AE, Wang Z, Kelsey CR, Torok JA, Chino JP, Fecci PE, Sampson JH, Anders CK, Floyd SR, Yin FF, Kirkpatrick JP. Outcomes in patients with 4 to 10 brain metastases treated with dose-adapted single-isocenter multitarget SRS: a prospective study. Adv Radiat Oncol. 2021;6(6):100760.

  • Adamson J, Erickson BG, Wang C, Cui Y, Alber M, Kirkpatrick J, Yin FF. Generation, validation, and benchmarking of a commercial independent Monte Carlo calculation beam model for multi-target SRS. Z Med Phys. 2023.

  • Erickson B, Cui Y, Alber M, Wang C, Yin FF, Kirkpatrick J, Adamson J. Independent Monte Carlo dose calculation identifies single-isocenter multi-target radiosurgery targets most likely to fail pre-treatment measurement. J Appl Clin Med Phys. 2024:e14290.

  • Yang Z, Khazaieli M, Vaios E, Zhang R, Zhao J, Mullikin T, Yang A, Yin FF, Wang C. Total brain dose estimation in single-isocenter multiple-target radiosurgery via a deep neural network with spherical convolutions. Med Phys. 2025;52(6):4266–4277.

  • Zhao J, Vaios E, Yang Z, Lu K, Floyd S, Yang D, Ji H, et al. Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis. Med Phys. 2025;52(4):2661–2674.

  • Zhao J, Vaios E, Wang Y, Yang Z, Cui Y, Reitman ZJ, Lafata KJ, et al. Dose-incorporated deep ensemble learning for improving brain metastasis SRS outcome prediction. Int J Radiat Oncol Biol Phys. 2024;120(2):603–613.

SBRT / Advanced Treatment Planning

  • Trager M, Salama J, Yin FF, Adamson J. SBRT treatment of multiple extracranial oligometastases using a single isocenter with distinct optimizations. J Radiosurg SBRT. 2017;4(4):265–273.

  • Godfrey DJ, Patel BN, Adamson JD, Subashi E, Salama JK, Palta M. Triphasic contrast enhanced CT simulation with bolus tracking for pancreas SBRT target delineation. Pract Radiat Oncol. 2017;7(6):e489–e497.

  • Xia Y, Adamson J, Zlateva Y, Giles W. Application of TG-218 action limits to SRS and SBRT pre-treatment patient specific QA. J Radiosurg SBRT. 2020;7(2):135–147.

  • Erickson BG, Ackerson BG, Kelsey CR, Yin FF, Adamson J, Cui Y. The effect of various dose normalization strategies when implementing LBTE dose calculation for lung SBRT planning. Pract Radiat Oncol. 2022;12(5):446–456.

  • Erickson BG, Cui Y, Ackerson BG, Kelsey CR, Yin FF, Niedzwiecki D, Adamson J. Uncertainties in dosimetric heterogeneity correction and potential effects on local control in lung SBRT. Biomed Phys Eng Express. 2023;9(3):035006.

Commissioning, QA, and Independent Verification

  • Adamson J, Wu Q. Independent verification of gantry angle for pre-treatment VMAT QA using EPID. Phys Med Biol. 2012;57(20):6587–6600.

  • Chang Z, Wu Q, Adamson J, Ren L, Bowsher J, Yan H, Thomas A, Yin FF. Commissioning and dosimetric characteristics of TrueBeam systems: composite data of three machines. Med Phys. 2012;39(11):6981–7018.

  • Liu B, Adamson J, Rodrigues A, Zhou F, Yin FF, Wu Q. A novel technique for VMAT QA with EPID in cine mode on a Varian TrueBeam linac. Phys Med Biol. 2013;58(19):6683–6700.

  • Stanhope C, Wu QJ, Yuan L, Liu J, Hood R, Yin FF, Adamson J. Utilizing knowledge from prior plans in evaluation of quality assurance. Phys Med Biol. 2015;60(12):4873–4891.

  • McVicker D, Yin FF, Adamson JD. On the sensitivity of TG-119 and IROC credentialing to TPS commissioning errors. J Appl Clin Med Phys. 2016;17(1):5452.

  • Faught AM, Trager M, Yin FF, Kirkpatrick J, Adamson J. Re-examining TG-142 recommendations in light of modern linac-based radiosurgery. Med Phys. 2016;43(10):5437.

  • Faught AM, Yin FF, Adamson J. An in-house protocol for improved flood field calibration of TrueBeam FFF cine imaging. J Appl Clin Med Phys. 2017;18(1):265–268.

  • Chuang K, Giles W, Adamson J. On the use of trajectory log files for machine and patient-specific QA. Biomed Phys Eng Express. 2020;7(1):015010.

  • Chuang KC, Giles W, Adamson J. A tool for patient-specific prediction of delivery discrepancies using trajectory log files. Med Phys. 2021;48(3):978–990.

  • Lay L, Chuang KC, Giles W, Adamson J. TARDIS: an updated artificial intelligence model to predict linear accelerator machine parameters at treatment delivery. SoftwareX. 2022;19.

  • Lay LM, Chuang KC, Wu Y, Giles W, Adamson J. Virtual patient-specific QA with DVH-based metrics. J Appl Clin Med Phys. 2022;23(11):e13639.

  • O'Daniel JC, Giles W, Cui Y, Adamson J. A structured FMEA approach to optimizing combinations of plan-specific QA techniques for IMRT and VMAT QA. Med Phys. 2023.

3D Dosimetry / Optical CT / Brachytherapy

  • Adamson J, Newton J, Yang Y, Steffey B, Cai J, Adamovics J, Oldham M, Chino J, Craciunescu O. Commissioning a CT-compatible LDR tandem and ovoid applicator using Monte Carlo calculation and 3D dosimetry. Med Phys. 2012;39(7):4515–4523.

  • Adamson J, Yang Y, Rankine L, Newton J, Adamovics J, Craciunescu O, Oldham M. Towards comprehensive characterization of Cs-137 seeds using PRESAGE dosimetry with optical tomography. J Phys Conf Ser. 2013;444:012100.

  • Adamson J, Yang Y, Juang T, Chisholm K, Rankine L, Adamovics J, Yin FF, Oldham M. Feasibility of polyurethane-based 3D dosimeters with optical CT for low-energy photon brachytherapy verification. Med Phys. 2014;41(7):071705.

  • Pant K, Umeh C, Oldham M, Floyd S, Giles W, Adamson J. Comprehensive radiation and imaging isocenter verification using NIPAM kV-CBCT dosimetry. Med Phys. 2020;47(3):927–936.

  • Hoopingarner S, Oldham M, Adamson J, Lakrad K. Investigation of a 3D dosimetry system utilizing radiochromic gel and telecentric optical-CT readout. Med Phys. 2023.

  • Kunkyab T, Lakrad K, Jirasek A, Oldham M, Quinn B, Hyde D, Adamson J. Clinical applicability of linac-integrated CBCT-based NIPAM 3D dosimetry: a dual-institutional investigation. Phys Med Biol. 2024;69(15):155002.

  • Lakrad K, Oldham M, Quinn B, Adamson J. Benchmarking of a new integrated 3D dosimetry system against Monte Carlo calculations and an established optical CT scanner. Med Phys. 2025;52(5):3377–3390.

AI, Machine Learning, and Knowledge-Based Planning

  • Zhang J, Ge Y, Sheng Y, Wang C, Wu Q, Yin FF. Knowledge-based tradeoff hyperplanes for head and neck treatment planning. Int J Radiat Oncol Biol Phys. 2020;106(5):1095–1103.

  • Li X, Zhang J, Sheng Y, Chang Y, Yin FF, Ge Y, Wu Q, Wang C. Automatic IMRT planning via static field fluence prediction: a deep learning algorithm for real-time prostate treatment planning. Phys Med Biol. 2020;65(17):175014.

  • Li X, Antoine P, Wang C, Sheng Y, Zhang J, Wang W, Yin FF, Wu Q, Ge Y. Artificial intelligence-driven agent for real-time head-and-neck IMRT plan generation using conditional generative adversarial networks. Med Phys. 2021;48(6):2714–2723.

  • Wang C, Liu C, Chang Y, Lafata K, Cui Y, Zhang J, Sheng Y, Mowery Y, Brizel D, Yin FF. Dose-distribution-driven PET image-based outcome prediction for oropharyngeal cancer IMRT. Front Oncol. 2020;10:1592.

  • Chen Y, Yang Z, Zhao J, Adamson J, Sheng Y, Yin FF, Wang C. A radiomics-incorporated deep ensemble learning model for multiparametric MRI-based glioma segmentation. Phys Med Biol. 2023;68(18):185025.

  • Shu X, Lu K, Zhao J, Ginn J, Kim Y, Yang Z, Adamson J, Mullikin T, Wang C. Knowledge-based deep residual U-Net for synthetic CT generation using a single MR volume for frameless radiosurgery. J Appl Clin Med Phys. 2026;27(1):e70343.

  • Yang Z, Yang C, Zhang R, Wang C, Chen M, Yin FF. A voxel-wise uncertainty-guided framework for glioma segmentation using spherical projection-based U-Net and localized refinement. Med Phys. 2026;53(3):e70360.