Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kamal Singhrao"'
Autor:
Jonathan Massachi, Lisa Singer, Christine Glastonbury, Jessica Scholey, Kamal Singhrao, Christina Calvin, Sue S. Yom, Jason W. Chan
Publikováno v:
Technical Innovations & Patient Support in Radiation Oncology, Vol 29, Iss , Pp 100228- (2024)
Purpose: Having dedicated MRI scanners within radiation oncology departments may present unexpected challenges since radiation oncologists and radiation therapists are generally not trained in this modality and there are potential patient safety conc
Externí odkaz:
https://doaj.org/article/054c35f68b134666bb69c4856c5046fc
Autor:
Jie Fu, PhD, Kamal Singhrao, PhD, Xinran Zhong, PhD, Yu Gao, PhD, Sharon X. Qi, PhD, Yingli Yang, PhD, Dan Ruan, PhD, John H. Lewis, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 6, Iss 5, Pp 100746- (2021)
Purpose: Most radiomic studies use the features extracted from the manually drawn tumor contours for classification or survival prediction. However, large interobserver segmentation variations lead to inconsistent features and hence introduce more ch
Externí odkaz:
https://doaj.org/article/f127b5177e814c4794c46ef5c1de75b6
Autor:
Michael Lauria, Bradley Stiehl, Anand P. Santhanam, Jonathan G. Goldin, Kamal Singhrao, Daniel A. Low, Igor Barjaktarevic
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 16:1775-1784
Fast helical free-breathing CT (FHFBCT) scans are widely used for 5DCT and 5D Cone Beam imaging protocols. For quantitative analysis of lung physiology and function, it is important to segment the lung lobes in these scans. Since the 5DCT protocols u
Autor:
Anand P. Santhanam, Igor Barjaktarevic, Daniel A. Low, Jonathan G. Goldin, Kamal Singhrao, Bradley Stiehl, Michael Lauria
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 17:185-197
Computational fluid dynamics (CFD) of lung airflow during normal and pathophysiological breathing provides insight into regional pulmonary ventilation. By integrating CFD methods with 4D lung imaging workflows, regions of normal pulmonary function ca
Publikováno v:
Medical Physics. 47:1443-1451
Purpose Increased utilization of magnetic resonance imaging (MRI) in radiotherapy has caused a growing need for phantoms that provide tissue-like contrast in both computed tomography (CT) and MRI images. Such phantoms can be used to compare MRI-based
Publikováno v:
Medical Physics. 46:3788-3798
PURPOSE The improved soft tissue contrast of magnetic resonance imaging (MRI) compared to computed tomography (CT) makes it a useful imaging modality for radiotherapy treatment planning. Even when MR images are acquired for treatment planning, the st
Autor:
Anand P. Santhanam, Minghao Guo, Dan Ruan, Yingli Yang, Victoria Y. Yu, Jie Fu, Ann C. Raldow, Kamal Singhrao, Minsong Cao, John H. Lewis
Publikováno v:
Biomedical physicsengineering express. 6(1)
Electron density maps must be accurately estimated to achieve valid dose calculation in MR-only radiotherapy. The goal of this study is to assess whether two deep learning models, the conditional generative adversarial network (cGAN) and the cycle-co
Autor:
Bradley, Stiehl, Michael, Lauria, Kamal, Singhrao, Jonathan, Goldin, Igor, Barjaktarevic, Daniel, Low, Anand, Santhanam
Publikováno v:
International journal of computer assisted radiology and surgery. 16(10)
Fast helical free-breathing CT (FHFBCT) scans are widely used for 5DCT and 5D Cone Beam imaging protocols. For quantitative analysis of lung physiology and function, it is important to segment the lung lobes in these scans. Since the 5DCT protocols u
Publikováno v:
Medical physicsREFERENCES. 48(6)
Purpose Convolutional neural networks have achieved excellent results in automatic medical image segmentation. In this study, we proposed a novel three-dimensional (3D) multipath DenseNet for generating the accurate glioblastoma (GBM) tumor contour f
Publikováno v:
Advances in Radiation Oncology
Advances in Radiation Oncology, Vol 6, Iss 5, Pp 100746-(2021)
Advances in Radiation Oncology, Vol 6, Iss 5, Pp 100746-(2021)
Purpose Most radiomic studies use the features extracted from the manually drawn tumor contours for classification or survival prediction. However, large interobserver segmentation variations lead to inconsistent features and hence introduce more cha