Related references
Note: Only part of the references are listed.MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction
Wenjun Xia et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)
Learning non-local perfusion textures for high-quality computed tomography perfusion imaging
Sui Li et al.
PHYSICS IN MEDICINE AND BIOLOGY (2021)
Anterior Cerebral Artery Stroke Role of Collateral Systems on Infarct Topography
Tharani Thirugnanachandran et al.
STROKE (2021)
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
Chenyu You et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization
Sui Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Statistical properties of cerebral CT perfusion imaging systems. Part II. Deconvolution-based systems
Ke Li et al.
MEDICAL PHYSICS (2019)
Ischaemic stroke
Bruce C. Campbell et al.
NATURE REVIEWS DISEASE PRIMERS (2019)
High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations
Shanli Zhang et al.
NEUROCOMPUTING (2019)
Low-Dose CT Perfusion of the Liver Using Reconstruction of Difference
Saeed Seyyedi et al.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES (2018)
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization
Dong Zeng et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion
Ruogu Fang et al.
NEUROCOMPUTING (2017)
Clinical PET Myocardial Perfusion Imaging and Flow Quantification
Daniel Juneau et al.
CARDIOLOGY CLINICS (2016)
Dynamic CT myocardial perfusion imaging
Damiano Caruso et al.
EUROPEAN JOURNAL OF RADIOLOGY (2016)
Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme
Xiumei Tian et al.
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY (2016)
Cerebral perfusion computed tomography deconvolution via structure tensor total variation regularization
Dong Zeng et al.
MEDICAL PHYSICS (2016)
Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations
Shanzhou Niu et al.
NEUROCOMPUTING (2016)
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization
Ruogu Fang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
A Simple Low-Dose X-Ray CT Simulation From High-Dose Scan
Dong Zeng et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2015)
Model-based CT performance assessment and optimization for iodinated and non iodinated imaging tasks as a function of kVp and body size
Ehsan Samei et al.
MEDICAL PHYSICS (2014)
Dynamic Iterative Reconstruction for Interventional 4-D C-Arm CT Perfusion Imaging
Michael T. Manhart et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)
Variance analysis of x-ray CT sinograms in the presence of electronic noise background
Jianhua Ma et al.
MEDICAL PHYSICS (2012)
A Spatio-Temporal Deconvolution Method to Improve Perfusion CT Quantification
Lili He et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
Theoretic Basis and Technical Implementations of CT Perfusion in Acute Ischemic Stroke, Part 1: Theoretic Basis
A. A. Konstas et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2009)
Theoretic Basis and Technical Implementations of CT Perfusion in Acute Ischemic Stroke, Part 2: Technical Implementations
A. A. Konstas et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2009)
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Amir Beck et al.
SIAM JOURNAL ON IMAGING SCIENCES (2009)
Principles of cerebral perfusion imaging by bolus tracking
L Ostergaard
JOURNAL OF MAGNETIC RESONANCE IMAGING (2005)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)
Assessment of perfusion by dynamic contrast-enhanced imaging using a deconvolution approach based on regression and singular value decomposition
TS Koh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2004)
Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix
O Wu et al.
MAGNETIC RESONANCE IN MEDICINE (2003)