Medical image processing on the GPU–Past, present and future

A Eklund, P Dufort, D Forsberg, SM LaConte - Medical image analysis, 2013 - Elsevier
Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

Simultaneous quantitative imaging of two PET radiotracers via the detection of positron–electron annihilation and prompt gamma emissions

EC Pratt, A Lopez-Montes, A Volpe… - Nature Biomedical …, 2023 - nature.com
In conventional positron emission tomography (PET), only one radiotracer can be imaged at
a time, because all PET isotopes produce the same two 511 keV annihilation photons. Here …

A review of GPU-based medical image reconstruction

P Després, X Jia - Physica Medica, 2017 - Elsevier
Tomographic image reconstruction is a computationally demanding task, even more so
when advanced models are used to describe a more complete and accurate picture of the …

Fast patch-based pseudo-CT synthesis from T1-weighted MR images for PET/MR attenuation correction in brain studies

A Torrado-Carvajal, JL Herraiz, E Alcain… - Journal of Nuclear …, 2016 - Soc Nuclear Med
Attenuation correction in hybrid PET/MR scanners is still a challenging task. This paper
describes a methodology for synthesizing a pseudo-CT volume from a single T1-weighted …

Hardware architectures for real-time medical imaging

E Alcaín, PR Fernandez, R Nieto, AS Montemayor… - Electronics, 2021 - mdpi.com
Medical imaging is considered one of the most important advances in the history of medicine
and has become an essential part of the diagnosis and treatment of patients. Earlier …

System models for PET statistical iterative reconstruction: A review

A Iriarte, R Marabini, S Matej, COS Sorzano… - … Medical Imaging and …, 2016 - Elsevier
Positron emission tomography (PET) is a nuclear imaging modality that provides in vivo
quantitative measurements of the spatial and temporal distribution of compounds labeled …

Streaming BP for non-linear motion compensation SAR imaging based on GPU

S Jun, M Long, Z Xiaoling - IEEE Journal of Selected Topics in …, 2013 - ieeexplore.ieee.org
As a high-quality imaging method for non-linear motion SAR, back projection (BP)
algorithm's huge computational cost hinders its applications. In recent years, the emergence …

Deep-learning based positron range correction of PET images

JL Herraiz, A Bembibre, A López-Montes - Applied sciences, 2020 - mdpi.com
Featured Application This work demonstrates that a trained deep neural network is able to
accurately correct the blurring present in PET images when using radionuclides with large …

Distributed MLEM: An iterative tomographic image reconstruction algorithm for distributed memory architectures

J Cui, G Pratx, B Meng, CS Levin - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The processing speed for positron emission tomography (PET) image reconstruction has
been greatly improved in recent years by simply dividing the workload to multiple processors …

Reconstruction of multi-animal PET acquisitions with anisotropically variant PSF

F Arias-Valcayo, P Galve, JL Herraiz… - Biomedical Physics …, 2023 - iopscience.iop.org
Among other factors such as random, attenuation and scatter corrections, uniform spatial
resolution is key to performing accurate quantitative studies in Positron emission …