Shobhit Sharma
Duke University
15 Papers
30 Citations
Shobhit Sharma is an academic researcher from Duke University. The author has contributed to research in topics: Imaging phantom & Computer science. The author has an hindex of 5, co-authored 15 publications. Previous affiliations of Shobhit Sharma include Durham University.
Chat about Author
Papers
DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography
TL;DR: DukeSim, when combined with realistic human phantoms, provides the necessary toolset with which to perform large-scale and realistic virtual clinical trials in a patient and scanner-specific manner.
A real-time Monte Carlo tool for individualized dose estimations in clinical CT.
TL;DR: The accuracy of dose estimates combined with a significant improvement in execution times suggests a feasible solution utilizing the proposed Monte Carlo (MC) tool for real-time individualized dosimetry in the clinic.
24
i Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
Wanyi Fu,Shobhit Sharma,Ehsan Abadi,Alexandros-Stavros Iliopoulos,Qi Wang,Joseph Y. Lo,Xiaobai Sun,William P. Segars,Ehsan Samei +8 more
TL;DR: In this article, the authors developed and validated a novel framework, i Phantom, for automated creation of patient-specific phantoms or "digital-twins" using patient medical images.
22
From patient-informed to patient-specific organ dose estimation in clinical computed tomography
Wanyi Fu,William P. Segars,Ehsan Abadi,Shobhit Sharma,Anuj J. Kapadia,Ehsan Samei +5 more
- 09 Mar 2018
TL;DR: A patient-specific and automated organ dose estimation framework that includes both patient and radiation exposure modeling is developed and validated, demonstrating the great potential to assess organ doses in a highly patient- specific manner.
12
A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials.
TL;DR: In this article, a GPU-accelerated Monte Carlo (MC) simulation and denoising method are used to estimate scatter in single source, dual-source, and photon-counting CT.
10