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Related papers: TomocuPy: efficient GPU-based tomographic reconstr…

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Recent years have witnessed a rapid advancement in GPU technology, establishing it as a formidable high-performance parallel computing technology with superior floating-point computational capabilities compared to traditional CPUs. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-18 Xinyao Yi , Yuxin Qiao

Tomographic imaging has benefited from advances in X-ray sources, detectors and optics to enable novel observations in science, engineering and medicine. These advances have come with a dramatic increase of input data in the form of faster…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-25 Stefano Marchesini , Anuradha Trivedi , Pablo Enfedaque , Talita Perciano , Dilworth Parkinson

Analysis of processing time and similarity of images generated between CPU and GPU architectures and sequential and parallel programming. For image processing a computer with AMD FX-8350 processor and an Nvidia GTX 960 Maxwell GPU was used,…

Statistical iterative reconstruction is expected to improve the image quality of megavoltage computed tomography (MVCT). However, one of the challenges of iterative reconstruction is its large computational cost. The purpose of this work is…

Fast 3D clothed human reconstruction from monocular video remains a significant challenge in computer vision, particularly in balancing computational efficiency with reconstruction quality. Current approaches are either focused on static…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Matthew Marchellus , Nadhira Noor , In Kyu Park

X-ray ptychography imaging at synchrotron facilities like the Advanced Photon Source (APS) involves controlling instrument hardwares to collect a set of diffraction patterns from overlapping coherent illumination spots on extended samples,…

Instrumentation and Detectors · Physics 2022-02-10 Ke Yue , Junjing Deng , Yi Jiang , Youssef Nashed , David Vine , Stefan Vogt

Tomographic image sizes keep increasing over time and while the GPUs that compute the tomographic reconstruction are also increasing in memory size, they are not doing so fast enough to reconstruct the largest datasets. This problem is…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-10 Ander Biguri , Reuben Lindroos , Robert Bryll , Hossein Towsyfyan , Hans Deyhle , Richard Boardman , Mark Mavrogordato , Manjit Dosanjh , Steven Hancock , Thomas Blumensath

Ptychography is a popular microscopic imaging modality for many scientific discoveries and sets the record for highest image resolution. Unfortunately, the high image resolution for ptychographic reconstruction requires significant amount…

Image and Video Processing · Electrical Eng. & Systems 2022-12-19 Xiao Wang , Aristeidis Tsaris , Debangshu Mukherjee , Mohamed Wahib , Peng Chen , Mark Oxley , Olga Ovchinnikova , Jacob Hinkle

While the advances in synchrotron light sources, together with the development of focusing optics and detectors, allow nanoscale ptychographic imaging of materials and biological specimens, the corresponding experiments can yield…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-05 Xiaodong Yu , Viktor Nikitin , Daniel J. Ching , Selin Aslan , Doga Gursoy , Tekin Bicer

X-ray computed tomography is a commonly used technique for noninvasive imaging at synchrotron facilities. Iterative tomographic reconstruction algorithms are often preferred for recovering high quality 3D volumetric images from 2D X-ray…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-16 Mert Hidayetoglu , Tekin Bicer , Simon Garcia de Gonzalo , Bin Ren , Vincent De Andrade , Doga Gursoy , Raj Kettimuthu , Ian T. Foster , Wen-mei W. Hwu

Ptychography is an emerging imaging technique that is able to provide wavelength-limited spatial resolution from specimen with extended lateral dimensions. As a scanning microscopy method, a typical two-dimensional image requires a number…

We present a fast GPU implementation of the image reconstruction routine, for a novel two strip PET detector that relies solely on the time of flight measurements.

There is a need for open-source libraries in emission tomography that (i) use modern and popular backend code to encourage community contributions and (ii) offer support for the multitude of reconstruction techniques available in recent…

We developed a high-speed image reduction pipeline using Graphics Processing Units (GPUs) as hardware accelerators. Astronomers desire detecting EM counterpart of gravitational-wave sources as soon as possible for sharing positional…

Instrumentation and Methods for Astrophysics · Physics 2020-10-14 Masafumi Niwano , Katsuhiro L. Murata , Ryo Adachi , Sili Wang , Yutaro Tachibana , Youichi Yatsu , Nobuyuki Kawai , Takashi Shimokawabe , Ryousuke Itoh

Image segmentation plays an important role in computer vision, object detection, traffic control, and video surveillance. Typically, it is a critical step in the 3D reconstruction of a specific organ in medical image processing which…

Image and Video Processing · Electrical Eng. & Systems 2020-12-22 Yu-Wei Chang , Tony W. H. Sheu

Correlation Plenoptic Imaging (CPI) is a novel technological imaging modality enabling to overcome drawbacks of standard plenoptic devices, while preserving their advantages. However, a major challenge in view of real-time application of…

Purpose: Optoacoustic tomography (OAT) is inherently a three-dimensional (3D) inverse problem. However, most studies of OAT image reconstruction still employ two-dimensional (2D) imaging models. One important reason is because 3D image…

Medical Physics · Physics 2013-04-09 Kun Wang , Chao Huang , Yu-Jiun Kao , Cheng-Ying Chou , Alexander A. Oraevsky , Mark A. Anastasio

Single-bed whole-body positron emission tomography based on resistive plate chamber detectors (RPC-PET) has been proposed for human studies, as a complementary resource to scintillator-based PET scanners. The purpose of this work is mainly…

The conversion of traditional film into stereo 3D has become an important problem in the past decade. One of the main bottlenecks is a disocclusion step, which in commercial 3D conversion is usually done by teams of artists armed with a…

Computer Vision and Pattern Recognition · Computer Science 2017-08-02 L. Robert Hocking , Russell MacKenzie , Carola-Bibiane Schoenlieb

Low-dose Proton Computed Tomography (pCT) is an evolving imaging modality that is used in proton therapy planning which addresses the range uncertainty problem. The goal of pCT is generating a 3D map of Relative Stopping Power (RSP)…

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