Results 1 to 10 of about 161,801 (119)
Image quality with iterative reconstruction techniques in CT of the lungs—A phantom study
European Journal of Radiology Open, 2018 Background: Iterative reconstruction techniques for reducing radiation dose and improving image quality in CT have proved to work differently for different patient sizes, dose levels, and anatomical areas.
Hilde Kjernlie Andersen +2 more
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Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?
Diagnostics, 2021 Deep learning technologies and applications demonstrate one of the most important upcoming developments in radiology. The impact and influence of these technologies on image acquisition and reporting might change daily clinical practice.
Sebastian Gassenmaier +8 more
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Super-Resolution Techniques in Photogrammetric 3D Reconstruction from Close-Range UAV Imagery
Heritage, 2023 Current Multi-View Stereo (MVS) algorithms are tools for high-quality 3D model reconstruction, strongly depending on image spatial resolution. In this context, the combination of image Super-Resolution (SR) with image-based 3D reconstruction is turning ...
Antigoni Panagiotopoulou +6 more
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Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging
Bioengineering, 2023 Magnetic resonance (MR) image reconstruction and super-resolution are two prominent techniques to restore high-quality images from undersampled or low-resolution k-space data to accelerate MR imaging. Combining undersampled and low-resolution acquisition
Wei Xu +6 more
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A survey on deep learning in medical image reconstruction
Intelligent Medicine, 2021 Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have received considerable ...
Emmanuel Ahishakiye +4 more
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Research Progress on Generative Adversarial Network in Cross-modal Medical Image Reconstruction
Xiehe Yixue Zazhi, 2023 Single-modal medical images contain limited disease-specific information. To analyze and diagnose patients, clinicians often need to integrate multiple modal images.
LI Zhuoyuan +5 more
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Effective and robust approach for fluorescence molecular tomography based on CoSaMP and SP3 model [PDF]
Journal of Innovative Optical Health Sciences, 2016 Fluorescence molecular tomography (FMT) allows the detection and quantification of various biological processes in small animals in vivo, which expands the horizons of pre-clinical research and drug development.
Xiaowei He +4 more
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Heliyon, 2023 This study introduces an innovative approach to address convex optimization problems, with a specific focus on applications in image and signal processing.
Joshua Olilima +5 more
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IEEE Access, 2021 Among image reconstruction methods, Fourier transform-based techniques provide computationally better performance. However, conventional Fourier-based reconstruction techniques require uniform data sampling at the radar aperture.
Amir Masoud Molaei +5 more
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Image reconstruction techniques using deep learning quality segmentation [PDF]
MATEC Web of ConferencesTranslational CT (TCT), in developing nations, a low-end computed tomography (CT) technology are relatively common. The limited-angle TCT scanning mode is often used with large-angle scanning to scan items within a narrow angular range, reduce X-ray ...
Rajya Lakshmi Adidela +5 more
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