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Charles A. Pelizzari
Researcher at University of Chicago
Publications - 196
Citations - 7459
Charles A. Pelizzari is an academic researcher from University of Chicago. The author has contributed to research in topics: Iterative reconstruction & Imaging phantom. The author has an hindex of 40, co-authored 196 publications receiving 7094 citations. Previous affiliations of Charles A. Pelizzari include Princess Margaret Cancer Centre.
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Journal ArticleDOI
Accurate three-dimensional registration of CT, PET, and/or MR images of the brain.
TL;DR: A surface matching technique has been developed to register multiple imaging scans of the brain in three dimensions, with accuracy on the order of the image pixel sizes, which provides a novel quantitative method to address the fundamental problem of relating structure to function in the brain.
Journal ArticleDOI
Evaluation of changes in the size and location of the prostate, seminal vesicles, bladder, and rectum during a course of external beam radiation therapy
John C. Roeske,Jeffrey D. Forman,Carmen F. Mesina,Tony He,Charles A. Pelizzari,Ernesto Fontenla,Srinivasan Vijayakumar,George T.Y. Chen +7 more
TL;DR: Changes in the location of the prostate, seminal vesicles, bladder, andnormal tissue volumes during the course of radiation therapy occur and have dosimetric consequences that may impact tumor control and normal tissue complication probabilities.
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Low-dose X-ray radiotherapy–radiodynamic therapy via nanoscale metal–organic frameworks enhances checkpoint blockade immunotherapy
Kuangda Lu,Chunbai He,Nining Guo,Christina Chan,Kaiyuan Ni,Guangxu Lan,Haidong Tang,Charles A. Pelizzari,Yang Xin Fu,Michael T. Spiotto,Ralph R. Weichselbaum,Wenbin Lin +11 more
TL;DR: By combining the advantages of local radiotherapy and systemic tumour rejection via synergistic X-ray-induced in situ vaccination and indoleamine 2,3-dioxygenase inhibition, nMOFs may overcome some of the limitations of checkpoint blockade in cancer treatment.
Journal ArticleDOI
Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT.
Junguo Bian,Jeffrey H. Siewerdsen,Xiao Han,Emil Y. Sidky,Jerry L. Prince,Charles A. Pelizzari,Xiaochuan Pan +6 more
TL;DR: Investigation and evaluation of image reconstruction from data collected at projection views significantly fewer than what is used in current CBCT imaging demonstrate that, depending upon scanning conditions and imaging tasks, algorithms based on constrained TV-minimization can reconstruct images of potential utility from a small fraction of the data used in typical, currentCBCT applications.
Proceedings ArticleDOI
Comparison and evaluation of retrospective intermodality image registration techniques
Jay B. West,J. Michael Fitzpatrick,M.Y. Wang,Benoit M. Dawant,Calvin R. Maurer,Robert M. Kessler,Robert J. Maciunas,C. Barillot,Didier Lemoine,A Collignon,Frederik Maes,Paul Suetens,Dirk Vandermeulen,Petra A. van den Elsen,Paul F. Hemler,Sandy Napel,Thilaka S. Sumanaweera,Beth A. Harkness,Derek L. G. Hill,Colin Studholme,Grégoire Malandain,Xavier Pennec,Marilyn E. Noz,Gerald Q. Maguire Jr.,Michael A. Pollack,Charles A. Pelizzari,Richard A. Robb,Dennis P. Hanson,Roger P. Woods +28 more
TL;DR: In this paper, a prospective method based on fiducial markers was used to perform an objective, blinded evaluation of the accuracy of several retrospective image-to-image registration techniques, where the accuracy was measured at multiple'regions of interest', i.e. areas in the brain which would commonly be areas of neurological interest.