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 …
Photon-counting x-ray detectors for CT
The introduction of photon-counting detectors is expected to be the next major breakthrough
in clinical x-ray computed tomography (CT). During the last decade, there has been …
in clinical x-ray computed tomography (CT). During the last decade, there has been …
Photon-counting detector CT: system design and clinical applications of an emerging technology
Photon-counting detector (PCD) CT is an emerging technology that has shown tremendous
progress in the last decade. Various types of PCD CT systems have been developed to …
progress in the last decade. Various types of PCD CT systems have been developed to …
An introduction to photon-counting detector CT (PCD CT) for radiologists
Y Nakamura, T Higaki, S Kondo, I Kawashita… - Japanese journal of …, 2023 - Springer
The basic performance of photon-counting detector computed tomography (PCD CT) is
superior to conventional CT (energy-integrating detector CT: EID CT) because its spatial …
superior to conventional CT (energy-integrating detector CT: EID CT) because its spatial …
Artificial intelligence in image reconstruction: the change is here
R Singh, W Wu, G Wang, MK Kalra - Physica Medica, 2020 - Elsevier
Innovations in CT have been impressive among imaging and medical technologies in both
the hardware and software domain. The range and speed of CT scanning improved from the …
the hardware and software domain. The range and speed of CT scanning improved from the …
Joint statistical iterative material image reconstruction for spectral computed tomography using a semi-empirical forward model
By acquiring tomographic measurements with several distinct photon energy spectra,
spectral computed tomography (spectral CT) is able to provide additional material-specific …
spectral computed tomography (spectral CT) is able to provide additional material-specific …
Image domain dual material decomposition for dual‐energy CT using butterfly network
W Zhang, H Zhang, L Wang, X Wang, X Hu… - Medical …, 2019 - Wiley Online Library
Purpose Dual‐energy CT (DECT) has been increasingly used in imaging applications
because of its capability for material differentiation. However, material decomposition suffers …
because of its capability for material differentiation. However, material decomposition suffers …
Dual-and multi-energy CT for particle stopping-power estimation: current state, challenges and potential
Range uncertainty has been a key factor preventing particle radiotherapy from reaching its
full physical potential. One of the main contributing sources is the uncertainty in estimating …
full physical potential. One of the main contributing sources is the uncertainty in estimating …
Non-convex primal-dual algorithm for image reconstruction in spectral CT
The work seeks to develop an algorithm for image reconstruction by directly inverting the
non-linear data model in spectral CT. Using the non-linear data model, we formulate the …
non-linear data model in spectral CT. Using the non-linear data model, we formulate the …
Regularization of nonlinear decomposition of spectral x‐ray projection images
Purpose Exploiting the x‐ray measurements obtained in different energy bins, spectral
computed tomography (CT) has the ability to recover the 3‐D description of a patient in a …
computed tomography (CT) has the ability to recover the 3‐D description of a patient in a …