Data in Brief, 2017 This article describes a quantitative evaluation of visualizing small vessels using several image reconstruction methods in computed tomography. Simulated vessels with diameters of 1–6 mm made by 3D printer was scanned using 320-row detector computed ...
Toru Higaki +7 more
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Truncation effect reduction for fast iterative reconstruction in cone-beam CT
BMC Medical Imaging, 2022 Background Iterative reconstruction for cone-beam computed tomography (CBCT) has been applied to improve image quality and reduce radiation dose. In a case where an object’s actual projection is larger than a flat panel detector, CBCT images contain ...
Sorapong Aootaphao +3 more
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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
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Increasing the Performance of the Iterative Computed Tomography Image Reconstruction Algorithms
مجلة النهرين للعلوم الهندسية, 2020 Computed tomography (CT) imaging is an important diagnostic tool. CT imaging facilitates the internal rendering of a scanned object by measuring the attenuation of beams of X-ray radiation.
Shimaa Abdulsalam Khazal +1 more
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Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
Patterns, 2022 Summary: A recent PNAS paper reveals that several popular deep reconstruction networks are unstable. Specifically, three kinds of instabilities were reported: (1) strong image artefacts from tiny perturbations, (2) small features missed in a deeply ...
Weiwen Wu +9 more
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Approximate k-space models and Deep Learning for fast photoacoustic reconstruction [PDF]
, 2018 We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. The approximate model introduces aliasing artefacts in the gradient information for
Arridge, Simon +6 more
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Deep iterative reconstruction for phase retrieval [PDF]
Applied Optics, 2019 Classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorithms including the hybrid input-output (HIO) method, the reconstruction performance is generally sensitive to initialization and measurement noise.
Çağatay Işıl +2 more
openaire +3 more sources
Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm
IEEE Access, 2022 The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect the ...
Jun Li +4 more
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An Accelerated Iterative Cone Beam Computed Tomography Image Reconstruction Approach
مجلة النهرين للعلوم الهندسية, 2019 Cone-beam computed tomography (CBCT) is an indispensable method that reconstructs three dimensional (3D) images. CBCT employs a mathematical technique of reconstruction, which reveals the anatomy of the patient’s body through the measurements of ...
Shimaa Abdulsalam Khazal +1 more
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Fast Parallel Imaging Reconstruction Method Based on SIDWT and Iterative Self-Consistency
Shanghai Jiaotong Daxue xuebao, 2023 To improve the reconstruction speed of parallel magnetic resonance imaging, an efficient reconstruction method named fSIDWT-SPIRiT is proposed based on shift-invariant discrete wavelets transform (SIDWT) and the iterative self-consistent parallel imaging
DUAN Jizhong, QIAN Qingqing
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