Simulation and experimental studies of three-dimensional (3D) image reconstruction from insufficient sampling data based on compressed-sensing theory for potential applications to dental cone-beam CT

Authors :: Dae-Ki Hong
C.K. Park
Hyunseung Cho
Yeong-Tae Park
Sora Choi
Myung-Shik Lee
Uikyu Je
Hyo-Min Cho
Taeho Woo
Source :: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 784:550-556
Publication Year :: 2015
Publisher :: Elsevier BV, 2015.
Abstract: In practical applications of three-dimensional (3D) tomographic imaging, there are often challenges for image reconstruction from insufficient sampling data. In computed tomography (CT), for example, image reconstruction from sparse views and/or limited-angle (

Subjects :: Physics
Nuclear and High Energy Physics
medicine.medical_specialty
Tomographic reconstruction
medicine.diagnostic_test
business.industry
Sampling (statistics)
Computed tomography
Iterative reconstruction
Compressed sensing
3d image reconstruction
medicine
Medical physics
Computer vision
Artificial intelligence
business
Instrumentation
Beam (structure)
Dental cone

ISSN :: 01689002
Volume :: 784
Database :: OpenAIRE
Journal :: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Accession number :: edsair.doi...........a74efbc4e4e10c517985516115d05797
Full Text :: https://doi.org/10.1016/j.nima.2014.12.079

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