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Xiao Wang
Researcher at Boston Children's Hospital
Publications - 15
Citations - 147
Xiao Wang is an academic researcher from Boston Children's Hospital. The author has contributed to research in topics: Iterative reconstruction & Image quality. The author has an hindex of 5, co-authored 14 publications receiving 112 citations. Previous affiliations of Xiao Wang include Purdue University.
Papers
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Proceedings ArticleDOI
High performance model based image reconstruction
Xiao Wang,Amit Sabne,Sherman J. Kisner,Anand Raghunathan,Charles A. Bouman,Samuel P. Midkiff +5 more
TL;DR: A novel organization of the scanner data into super-voxels (SV) that, combined with a super-Voxel buffer (SVB), dramatically increase locality and prefetching, enable parallelism across SVs and lead to an average speedup of 187 on 20 cores.
Proceedings ArticleDOI
Model-based Iterative CT Image Reconstruction on GPUs
Amit Sabne,Xiao Wang,Sherman J. Kisner,Charles A. Bouman,Anand Raghunathan,Samuel P. Midkiff +5 more
TL;DR: This work presents the first GPU-based algorithm for ICD-based MBIR, which leverages the recently-proposed concept of SuperVoxels, and efficiently exploits the three levels of parallelism available in MBIr to better utilize the GPU hardware resources.
Proceedings ArticleDOI
Massively parallel 3D image reconstruction
TL;DR: A new algorithm for MBIR is presented, the Non-Uniform Parallel Super-Voxel (NU-PSV) algorithm, that regularizes the data access pattern, enables massive parallelism, and ensures fast convergence.
Journal ArticleDOI
Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium
TL;DR: In this article, a multi-agent consensus equilibrium (MACE) algorithm is proposed for distributed MBIR reconstruction across a large number of parallel nodes, where each node stores only a sparse subset of views and a small portion of the system matrix, and each parallel node performs a local sparse-view reconstruction.
Proceedings ArticleDOI
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction
Xiao Wang,Venkatesh Sridhar,Zahra Ronaghi,R. C. Thomas,Jack Deslippe,Dilworth Y. Parkinson,Gregery T. Buzzard,Samuel P. Midkiff,Charles A. Bouman,Simon K. Warfield +9 more
TL;DR: Asynchronous Consensus MBIR (AC-MBIR) is proposed that uses Consensus Equilibrium (CE) to provide a super-resolution algorithm with a small memory footprint, low communication overhead and a high scalability.