Results 31 to 40 of about 1,008,663 (311)
Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography using Radially Symmetric Expansion Functions [PDF]
, 2014 Optoacoustic tomography (OAT), also known as photoacoustic tomography, is an emerging computed biomedical imaging modality that exploits optical contrast and ultrasonic detection principles.
Er Oraevsky +5 more
core +1 more source
Serial Decoders-Based Auto-Encoders for Image Reconstruction
Applied Sciences, 2022 Auto-encoders are composed of coding and decoding units; hence, they hold an inherent potential of being used for high-performance data compression and signal-compressed sensing.
Honggui Li +3 more
doaj +1 more source
Filtering in SPECT Image Reconstruction [PDF]
International Journal of Biomedical Imaging, 2011 Single photon emission computed tomography (SPECT) imaging is widely implemented in nuclear medicine as its clinical role in the diagnosis and management of several diseases is, many times, very helpful (e.g., myocardium perfusion imaging). The quality of SPECT images are degraded by several factors such as noise because of the limited number of counts,
Maria Lyra, Agapi Ploussi
openaire +4 more sources
Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect
Complexity, 2021 In order to solve the problems of poor user experience and low human-computer interaction efficiency, this paper designs a 3D image virtual reconstruction system based on visual communication effects.
Jing Yin, Jong Hoon Yang
doaj +1 more source
IEEE Access, 2021 Compressive sensing (CS) technology is introduced into space optical remote sensing image acquisition stage, which could make wireless image sensor network node quickly and accurately obtain images in the case of two constraints of limited battery power ...
Shuming Xiao, Shaoju Wang, Lin Chang
doaj +1 more source
Image Compressed Sensing Attention Neural Network Based on Residual Feature Aggregation [PDF]
Jisuanji kexue, 2023 Deep learning-based image compressive sensing has received extensive attention due to its powerful learning ability and fast processing speed.With the increase in the depth of convolutional neural networks,the existing image reconstruction methods using ...
WANG Zhenbiao, QIN Yali, WANG Rongfang, ZHENG Huan
doaj +1 more source
IEEE Access, 2020 In some computed tomography (CT) applications, limited-angle projections are used for image reconstruction, and traditional reconstruction methods, such as filtered back-projection (FBP) or simultaneous algebraic reconstruction technique (SART), cannot ...
Changcheng Gong, Li Zeng
doaj +1 more source
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
doaj +1 more source
High numerical aperture holographic microscopy reconstruction with extended z range [PDF]
, 2015 An holographic microscopy reconstruction method compatible with high numerical aperture microscope objective (MO) up to NA=1.4 is proposed. After off axis and reference field curvature corrections, and after selection of the +1 grating order holographic ...
Donnarumma, Dario +3 more
core +4 more sources
Sensors, 2018 Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster.
Jin Zheng, Jinku Li, Yi Li, Lihui Peng
doaj +1 more source