Results 21 to 30 of about 68,766 (311)

Usefulness of Model-Based Iterative Reconstruction in Brain CT as Compared With Hybrid Iterative Reconstruction [PDF]

Journal of Computer Assisted Tomography, 2021
Objective The aim of this study was to compare the contrast of gray to white matter between forward-projected model-based iterative reconstruction solution (FIRST) and hybrid iterative reconstruction (IR) by measuring computed tomography value of brain parenchyma.
Hirofumi, Sekino, Shiro, Ishii, Daichi, Kuroiwa, Hideki, Fujimaki, Shigeyasu, Sugawara, Hiroki, Suenaga, Motoharu, Hakozaki, Ryo, Yamakuni, Hirotake, Watanabe, Osamu, Hasegawa, Hiroshi, Ito   +10 more
openaire   +2 more sources

Improved image quality in abdominal computed tomography reconstructed with a novel Deep Learning Image Reconstruction technique – initial clinical experience

Acta Radiologica Open, 2021
Background A novel Deep Learning Image Reconstruction (DLIR) technique for computed tomography has recently received clinical approval. Purpose To assess image quality in abdominal computed tomography reconstructed with DLIR, and compare with standardly ...
Tormund Njølstad, Anselm Schulz, Johannes C Godt, Helga M Brøgger, Cathrine K Johansen, Hilde K Andersen, Anne Catrine T Martinsen   +6 more
doaj   +1 more source

Model-based iterative reconstruction for 320-detector row CT angiography reduces radiation exposure in infants with complex congenital heart disease [PDF]

, 2021
PURPOSEWe investigated the impact of model-based iterative reconstruction (MBIR) on 320-detector row computed tomography angiography (CTA) in infants with complex congenital heart disease (CHD).METHODSSeventy infants with complex CHD who underwent 320 ...
Hazumu Nagata, Koji Sagiyama, Yuzo Yamasaki, Takeshi Kamitani, Tomoyuki Hida, Yuko Matsuura   +5 more
core   +1 more source

A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images

Tomography, 2023
Photon-counting CT (PCCT) is powerful for spectral imaging and material decomposition but produces noisy weighted filtered backprojection (wFBP) reconstructions.
Rohan Nadkarni, Darin P. Clark, Alex J. Allphin, Cristian T. Badea   +3 more
doaj   +1 more source

Is Iterative Reconstruction Ready for MDCT? [PDF]

Journal of the American College of Radiology, 2009
Although the very first computed tomographic scanners used the iterative algebraic reconstruction technique, the filtered back-projection (FBP) method soon became the gold standard for computed tomographic reconstruction. Image quality has dramatically improved over the past 30 years thanks to advances in x-ray tubes, detector technologies, and overall
Jingyan, Xu, Mahadevappa, Mahesh, Benjamin M W, Tsui   +2 more
openaire   +2 more sources

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, Figen S. Oktem, Aykut Koç   +2 more
openaire   +3 more sources

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, Saowapak S. Thongvigitmanee, Puttisak Puttawibul, Pairash Thajchayapong   +3 more
doaj   +1 more source

Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures

Entropy, 2021
The problem of tomographic image reconstruction can be reduced to an optimization problem of finding unknown pixel values subject to minimizing the difference between the measured and forward projections. Iterative image reconstruction algorithms provide
Ryosuke Kasai, Yusaku Yamaguchi, Takeshi Kojima, Omar M. Abou Al-Ola, Tetsuya Yoshinaga   +4 more
doaj   +1 more source

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, Mohammed Hussein Ali   +1 more
doaj   +1 more source

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, Mohammed Hussein Ali   +1 more
doaj   +1 more source