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Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super …
T Gomi, H Hara, Y Watanabe, S Mizukami - Plos one, 2020 - journals.plos.org
We developed a novel dual-energy (DE) virtual monochromatic (VM) very-deep super-
resolution (VDSR) method with an unsharp masking reconstruction algorithm (DE–VM …
resolution (VDSR) method with an unsharp masking reconstruction algorithm (DE–VM …
Automatic current selection with iterative reconstruction reduces effective dose to less than 1 mSv in low-dose chest computed tomography in persons with normal BMI
Most of the recent studies have used fixed tube current while few investigators use automatic
current selection (ACS) with iterative reconstruction (IR) techniques to reduce effective dose …
current selection (ACS) with iterative reconstruction (IR) techniques to reduce effective dose …
Effect of Filtered Back-Projection Filters to Low-Contrast Object Imaging in Ultra-High-Resolution (UHR) Cone-Beam Computed Tomography (CBCT)
S Choi, CW Seo, BK Cha - Sensors, 2020 - mdpi.com
In this study, the effect of filter schemes on several low-contrast materials was compared
using standard and ultra-high-resolution (UHR) cone-beam computed tomography (CBCT) …
using standard and ultra-high-resolution (UHR) cone-beam computed tomography (CBCT) …
Application of nonlinear voxel distribution grid for computational speed-up for linear tomosynthesis reconstruction
DG Kovtun, EB Gorbunova… - … Remote Sensing XII, 2018 - spiedigitallibrary.org
The research focuses on considering the possibility of computational speedup during image
reconstruction based on the SART algorithm through application of the nonlinear voxel grid …
reconstruction based on the SART algorithm through application of the nonlinear voxel grid …
Development of a novel algorithm to improve image quality in chest digital tomosynthesis using convolutional neural network with super-resolution
T Gomi - Medical Imaging 2021: Physics of Medical Imaging, 2021 - spiedigitallibrary.org
We developed a novel dual-energy (DE) virtual monochromatic (VM) very-deep super-
resolution (VDSR) reconstruction algorithm (DVV) that uses projection data to improve …
resolution (VDSR) reconstruction algorithm (DVV) that uses projection data to improve …
[PDF][PDF] ADVANCEMENT IN DIGITAL RADIOGRAPHY: ENHANCING IMAGE QUALITY AND RADIATION DOSE OPTIMIZATION.: JPUMHS; 2024: 14: 01,126-130. http …
F Kalsoom, S Tariq, K Mushtaq… - Journal of Peoples …, 2024 - nja.pastic.gov.pk
ABSTRACT BACKGROUND: With improved exposure optimization and higher image
quality, digital radiography technology has revolutionized medical imaging in recent years …
quality, digital radiography technology has revolutionized medical imaging in recent years …
Deep residual learning with Anscombe transformation for low-dose digital tomosynthesis
Y Lee, S Lee, C Park - Journal of the Korean Physical Society, 2024 - Springer
Deep learning-based convolutional neural networks (CNNs) have been proposed for
enhancing the quality of digital tomosynthesis (DTS) images. However, the direct …
enhancing the quality of digital tomosynthesis (DTS) images. However, the direct …
SART Algorithm Parallel Implementation with Siddon and MBR Methods for Digital Linear Tomosynthesis Using OpenCL
NS Petrov, VS Linkov, RN Ponomarenko - International Conference on …, 2020 - Springer
Most practical tomographic reconstruction methods in a conical beam are based on the
filtered backprojection (FBP) method, even though such iterative methods as SART can …
filtered backprojection (FBP) method, even though such iterative methods as SART can …