Physics Residency Program
Inspiration: Challenge (both academic and athletic), compassion, and a constant drive for improvement.
Area of interest:(1) Developing more efficient and accurate treatment delivery methods for tumors that undergo organ deformation during or between treatment (e.g. respiratory motion, weight loss/gain, re-plans, salvage cases, secondary radiation treatments), (2) Assessing errors introduced into the treatment planning workflow by image registration methods, and developing registration methods that more accurately infer organ deformation from medical images, and (3) Developing novel radiation delivery methods that better leverage linear accelerator hardware capabilities to offer to improve patient outcomes.
Sarah Geneser, PhD
B.A., Rice University, Houston, TX (2001)
M.S., Mathematics, University of Utah (2002)
Ph.D., Computer Science, University of Utah (2008)
Post-Doc, Radiation Oncology, University of Utah (2008-2009)
Post-Doc, Radiology, Stanford (2009-2010)
Post-Doc, Radiology, Stanford (2011-2012)
Medical physics resident, University of California San Francisco, CA (2013-2015).
Mount Zion Health Fund Travel Grant, UCSF Medical Center, University of California San Francsico 2013
Katherine McCormick Postdoctoral Travel Grant, School of Medicine, Stanford University 2012
NIH NCI Ruth Kirchstein T32 Postdoctoral Fellowship, Richard M. Lucas Center for Imaging, Stanford University 2010-2013
T. Kim, L. Zhu, T. Suh, S.E. Geneser, B. Meng and L.Xing. Inverse Planning for IMRT with Nonuniform Beam Profiles Using Total-Variation Regularization (TVR) Medical Image Analysis, Vol. 38, Issue 1, pp. 57–67, 2011
D.J. Swenson, S.E. Geneser, J.G. Stinstra, R.M. Kirby and R.M. MacLeod. Cardiac Position Sensitivity Study in the Electrocardiographic Forward Problem Using Stochastic Collocation and Boundary Element Methods Annals of Biomedical Engineering, Vol. 39, Issue 12, pp. 2900–2910, 2011
S.E. Geneser, J.D. Hinkle, R.M. Kirby, B. Wang, B. Salter and S. Joshi. Quantifying Variability in Radiation Dose Due to Respiratory-Induced Tumor Motion. Medical Image Analysis, Vol. 15, Issue 4, pp. 640-649, 2011
S.E. Geneser, R.M. Kirby, B. Wang, B. Salter and S. Joshi. Incorporating Patient Breathing Variations into a Stochastic Model of Dose Deposition for Stereotactic Body Radiation Therapy. 21st International Conference on Information Processing in Medical Imaging (IPMI), Virginia, Lecture Notes in Computer Science (LNCS) 5636, pp. 688–700, July 2009
S.E. Geneser, R.M. Kirby, and R.S. MacLeod. Application of Stochastic Finite Element Methods to Study the Sensitivity of ECG Forward Modeling to Organ Conductivity. IEEE Transactions on Biomedical Engineering, Vol. 55, Issue 1, pp. 31–40, 2008.
S.E. Geneser, R.M. Kirby, D.B. Xiu and F.B. Sachse. Stochastic Markovian Modeling of Electrophysiology of Ion Channels: Reconstruction of Standard Deviations in Macroscopic Currents. Journal of Theoretical Biology. Vol. 245, Issue 4, pp. 627–637, 2007.
S.E. Geneser, R.M. Kirby, D.B. Xiu and F.B. Sachse. Application of the Stochastic Galerkin Method for Analysis of Human Cardiac Ion Channel Models. SIAM Conference On Computational Science and Engineering, Costa Mesa, California, February 19-23, 2007.
S.E. Geneser, S. Choe, R.M. Kirby, and R.S. MacLeod. The Influence of Stochastic Organ Conductivity in 2D ECG Forward Modeling: A Stochastic Finite Element Study. Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Press, pp. 5528–5531, 2005.
S.E. Geneser, R.M. Kirby, and F. B. Sachse. Sensitivity Analysis of Cardiac Electrophysiological Models Using Polynomial Chaos, Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Press, pp. 4042–4045, 2005.
S.E. Geneser, S. Choe, R.M. Kirby, and R.S. MacLeod. 2D Stochastic Finite Element Study of the Influence of Organ Conductivity in ECG Forward Modeling. Proceedings of the Joint Meeting of the 5th International Conference on Bioelectromagnetism and 5th International Symposium on Noninvasive Functional Source Imaging within the Human Brain and Heart (BEM&NFSI), Vol. 7, pp. 321–324, 2005.
S.E. Geneser, B.P. Fahimian, and L. Xing. Multi-phase Gating for Radiation Treatment Delivery and Imaging. (Non-provisional: USSN 13/475,231) May 18, 2012.
B.P. Fahimian, S.E. Geneser, D. Hristov, and L. Xing. Dynamic multi-axes trajectory optimization and delivery method for radiation treatment (Non-provisional: USSN 13/490,450) June 6, 2012.