R
Richard Castillo
Researcher at Emory University
Publications - 89
Citations - 3562
Richard Castillo is an academic researcher from Emory University. The author has contributed to research in topics: Image registration & Medicine. The author has an hindex of 26, co-authored 76 publications receiving 3081 citations. Previous affiliations of Richard Castillo include Hospital Universitario La Paz & University of Texas MD Anderson Cancer Center.
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Journal ArticleDOI
A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets.
Richard Castillo,Edward M. Castillo,Rudy Guerra,Valen E. Johnson,Travis McPhail,Amit Kumar Garg,T.M. Guerrero +6 more
TL;DR: It is demonstrated that landmark pairs can be used to assess DIR spatial accuracy within a narrow uncertainty range and based on fewer than the required validation landmarks results in misrepresentation of the relative spatial accuracy.
Journal Article
Attenuation Correction of PET Images with Respiration-Averaged CT Images in PET/CT
Tinsu Pan,Osama Mawlawi,Sadek Nehmeh,Yusuf E. Erdi,Dershan Luo,Hui Liu,Richard Castillo,Radhe Mohan,Zhongxing Liao,Homer A. Macapinlac +9 more
TL;DR: The use of respiration-averaged CT (ACT) to match the temporal resolution of CT and PET and the improvement of tumor quantification in PET images of the thorax with ACT was evaluated and breathing artifacts were significantly reduced by ACT.
Journal ArticleDOI
Implementation and evaluation of various demons deformable image registration algorithms on a GPU
Xuejun Gu,Hubert Y. Pan,Y. Liang,Richard Castillo,Deshan Yang,Dongju Choi,Edward M. Castillo,Amitava Majumdar,Thomas Guerrero,Steve B. Jiang +9 more
TL;DR: In this article, a gray-scale-based deformable image registration (DIR) algorithm called demons and five of its variants were implemented on GPUs using the compute unified device architecture (CUDA) programming environment.
Journal ArticleDOI
Four-dimensional deformable image registration using trajectory modeling.
Edward M. Castillo,Richard Castillo,Richard Castillo,Josue G. Martinez,Maithili Shenoy,Thomas Guerrero,Thomas Guerrero,Thomas Guerrero +7 more
TL;DR: The 4DLTM method captures the long-range motion between 4DCT extremes with high spatial accuracy and is compared with an alternative registration approach in which component phase to phase (CPP) DIR is utilized to determine the full displacement between maximum inhale and exhale images.
Journal ArticleDOI
Implementation and evaluation of various demons deformable image registration algorithms on GPU
Xuejun Gu,Hubert Y. Pan,Y. Liang,Richard Castillo,Deshan Yang,D. Choi,Edward M. Castillo,Amitava Majumdar,Thomas Guerrero,Steve B. Jiang +9 more
TL;DR: It is interesting to find out that the original passive force demons algorithms outperform subsequently proposed variants based on the combination of accuracy, efficiency and ease of implementation.