A review of GPU-based medical image reconstruction
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 …
when advanced models are used to describe a more complete and accurate picture of the …
TIGRE: a MATLAB-GPU toolbox for CBCT image reconstruction
A Biguri, M Dosanjh, S Hancock… - Biomedical Physics & …, 2016 - iopscience.iop.org
In this article the Tomographic Iterative GPU-based Reconstruction (TIGRE) Toolbox, a
MATLAB/CUDA toolbox for fast and accurate 3D x-ray image reconstruction, is presented …
MATLAB/CUDA toolbox for fast and accurate 3D x-ray image reconstruction, is presented …
Compressed-sensing-inspired reconstruction algorithms in low-dose computed tomography: A review
AB Konovalov - Physica Medica, 2024 - Elsevier
Background Optimization of the dose the patient receives during scanning is an important
problem in modern medical X-ray computed tomography (CT). One of the basic ways to its …
problem in modern medical X-ray computed tomography (CT). One of the basic ways to its …
Fast compressed sensing‐based CBCT reconstruction using Barzilai‐Borwein formulation for application to on‐line IGRT
Purpose: Compressed sensing theory has enabled an accurate, low‐dose cone‐beam
computed tomography (CBCT) reconstruction using a minimal number of noisy projections …
computed tomography (CBCT) reconstruction using a minimal number of noisy projections …
Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study
Due to the inter-and intra-variation of respiratory motion, it is highly desired to provide real-
time volumetric images during the treatment delivery of lung stereotactic body radiation …
time volumetric images during the treatment delivery of lung stereotactic body radiation …
Arbitrarily large tomography with iterative algorithms on multiple GPUs using the TIGRE toolbox
Abstract 3D tomographic imaging requires the computation of solutions to very large inverse
problems. In many applications, iterative algorithms provide superior results, however …
problems. In many applications, iterative algorithms provide superior results, however …
Accelerated barrier optimization compressed sensing (ABOCS) reconstruction for cone‐beam CT: phantom studies
T Niu, L Zhu - Medical physics, 2012 - Wiley Online Library
Purpose: Recent advances in compressed sensing (CS) enable accurate CT image
reconstruction from highly undersampled and noisy projection measurements, due to the …
reconstruction from highly undersampled and noisy projection measurements, due to the …
A few-view reweighted sparsity hunting (FRESH) method for CT image reconstruction
In recent years, the total variation (TV) minimization method has been widely used for
compressed sensing (CS) based CT image reconstruction. In this paper, we propose a few …
compressed sensing (CS) based CT image reconstruction. In this paper, we propose a few …
Statistical iterative CBCT reconstruction based on neural network
B Chen, K **ang, Z Gong, J Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Cone-beam computed tomography (CBCT) plays an important role in radiation therapy.
Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms …
Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms …
Evaluation and clinical application of a commercially available iterative reconstruction algorithm for CBCT-based IGRT
W Mao, C Liu, SJ Gardner, F Siddiqui… - … in cancer research …, 2019 - journals.sagepub.com
Purpose: We have quantitatively evaluated the image quality of a new commercially
available iterative cone-beam computed tomography reconstruction algorithm over standard …
available iterative cone-beam computed tomography reconstruction algorithm over standard …