The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
MJ Willemink, PB Noël - European radiology, 2019 - Springer
The first CT scanners in the early 1970s already used iterative reconstruction algorithms;
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
Infrared laser-absorption sensing for combustion gases
Infrared laser-absorption spectroscopy (IR-LAS) sensors play an important role in
diagnosing and characterizing a wide range of combustion systems. Of all the laser …
diagnosing and characterizing a wide range of combustion systems. Of all the laser …
[图书][B] Linear and nonlinear inverse problems with practical applications
JL Mueller, S Siltanen - 2012 - SIAM
Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …
an area of contemporary mathematics, the field of inverse problems is strongly driven by …
Artifact suppressed dictionary learning for low-dose CT image processing
Low-dose computed tomography (LDCT) images are often severely degraded by amplified
mottle noise and streak artifacts. These artifacts are often hard to suppress without …
mottle noise and streak artifacts. These artifacts are often hard to suppress without …
The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
We present the PyHST2 code which is in service at ESRF for phase-contrast and absorption
tomography. This code has been engineered to sustain the high data flow typical of the 3rd …
tomography. This code has been engineered to sustain the high data flow typical of the 3rd …
Tensor-based formulation and nuclear norm regularization for multienergy computed tomography
The development of energy selective, photon counting X-ray detectors allows for a wide
range of new possibilities in the area of computed tomographic image formation. Under the …
range of new possibilities in the area of computed tomographic image formation. Under the …
A limited-angle CT reconstruction method based on anisotropic TV minimization
This paper presents a compressed sensing (CS)-inspired reconstruction method for limited-
angle computed tomography (CT). Currently, CS-inspired CT reconstructions are often …
angle computed tomography (CT). Currently, CS-inspired CT reconstructions are often …
Sparse-view x-ray CT reconstruction via total generalized variation regularization
Sparse-view CT reconstruction algorithms via total variation (TV) optimize the data iteratively
on the basis of a noise-and artifact-reducing model, resulting in significant radiation dose …
on the basis of a noise-and artifact-reducing model, resulting in significant radiation dose …
Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT
This Special Report presents the consensus of the Summit on Management of Radiation
Dose in Computed Tomography (CT)(held in February 2011), which brought together …
Dose in Computed Tomography (CT)(held in February 2011), which brought together …
Compressed sensing based cone‐beam computed tomography reconstruction with a first‐order method a
Purpose: This article considers the problem of reconstructing cone‐beam computed
tomography (CBCT) images from a set of undersampled and potentially noisy projection …
tomography (CBCT) images from a set of undersampled and potentially noisy projection …