Computed Tomography: Principles, Design, Artifacts, and Recent Advances

By Jiang Hsieh. 2003

1,584 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/181aea672710f1cadbb1cc7e5e75662337b2ce41

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In Biomedical Engineering

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Monarch: Expressive Structured Matrices for Efficient and Accurate Training (2022, background): “Another class of structured matrices, such as Fourier, sine/cosine, Chebyshev, are used in specialized domains such as PDE solving (Trefethen, 2000) and medical imaging (Hsieh, 2003).”
Laser absorption spectroscopy for combustion diagnosis in reactive flows: A review (2019, methodology): “In principle, the mathematical formulation for linear LAS tomography is similar to the computer tomography that has been extensively employed in clinical diagnosis (131, 135).”
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network (2017, neutral): “n be easily obtained from (circular) convolution [15]. In this paper, to avoid special treatment of boundary condition, our theory is mainly derived using circular convolution. Speciﬁcally, let f = [f[1]; ;f[n]]T 2Rn and = [ [1]; ; [d]]T 2Rd be an input image and a convolutional ﬁlter kernel. Then, ”
A two-step Hilbert transform method for 2D image reconstruction (2004, background): “Weighting schemes appear in other important contexts too, such as in combining axial reconstructions in single-slice spiral CT (Crawford and King 1990) and in multi-slice spiral CT (Kalender 2000, Hsieh 2003).”
MicroCT for comparative morphology: simple staining methods allow high-contrast 3D imaging of diverse non-mineralized animal tissues (2009, methodology): “The oldest tomographic imaging method is x-ray computed tomography (CT) [5,6], now in widespread use for clinical imaging.”
Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR (2017, methodology): “This is called the projection slice theorem [21].”
Guidelines for assessment of bone microstructure in rodents using micro–computed tomography (2010, background): “(44) The energy of an X-ray photon, which is produced by accelerated electrons striking the X-ray tube target (eg, tungsten), is expressed as units of electronvolts (eV).”
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction (2016, neutral): “H n (z) =  H1(z(2) n−1 )Πn−2 j=0H0(z 2j), 1 ≤ n < 2 Πn−1 j=0H0(z 2j), n = 2 (10)”
AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020, neutral): “X-ray CT imaging [25] also offers volumetric scans likeMRI.”
All you need is shape: Predicting shear banding in sand with LS-DEM (2018, methodology): “The X-ray projections are then used to reconstruct a three-dimensional image by filtered backprojection [15].”
Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms (2009, background): “In CT quality assurance practice, both spatial resolution and noise variance levels are key parameters to characterize the performance of a CT imaging system (Hsieh 2003, Kalender 2005).”
Deep Bayesian Hashing with Center Prior for Multi-modal Neuroimage Retrieval (2020, methodology): “Currently, various digital imaging techniques have been developed to generating heterogeneous visual representations of brain tissues, such as structural magnetic resonance imaging (sMRI) [14]–[16], positron emission tomography (PET) [17], and computed tomography (CT) [18].”