Cardiac MR: from theory to practice

TF Ismail, W Strugnell, C Coletti… - Frontiers in …, 2022 - frontiersin.org
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …

Motion estimation and correction in SPECT, PET and CT

AZ Kyme, RR Fulton - Physics in Medicine & Biology, 2021 - iopscience.iop.org
Patient motion impacts single photon emission computed tomography (SPECT), positron
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …

MedGAN: Medical image translation using GANs

K Armanious, C Jiang, M Fischer, T Küstner… - … medical imaging and …, 2020 - Elsevier
Image-to-image translation is considered a new frontier in the field of medical image
analysis, with numerous potential applications. However, a large portion of recent …

clinical PET/MRI: 2018 update

SM Broski, AH Goenka, BJ Kemp… - American Journal of …, 2018 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this article is to provide an update on clinical PET/MRI,
including current and developing clinical indications and technical developments …

A machine-learning framework for automatic reference-free quality assessment in MRI

T Küstner, S Gatidis, A Liebgott, M Schwartz… - Magnetic resonance …, 2018 - Elsevier
Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large
amount of data is created per examination which needs to be checked for sufficient quality in …

LAPNet: Non-rigid registration derived in k-space for magnetic resonance imaging

T Küstner, J Pan, H Qi, G Cruz, C Gilliam… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance
(MR) image acquisition can cause image artifacts. Motion correction techniques have been …

Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network

X Guo, B Zhou, D Pigg, B Spottiswoode, ME Casey… - Medical image …, 2022 - Elsevier
Subject motion in whole-body dynamic PET introduces inter-frame mismatch and seriously
impacts parametric imaging. Traditional non-rigid registration methods are generally …

Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI

Z Wang, H She, Y Zhang, YP Du - Medical image analysis, 2023 - Elsevier
Dynamic magnetic resonance imaging (MRI) acquisitions are relatively slow due to physical
and physiological limitations. The spatial-temporal dictionary learning (DL) approach …

PET/MRI hybrid systems

JG Mannheim, AM Schmid, J Schwenck… - Seminars in nuclear …, 2018 - Elsevier
Over the last decade, the combination of PET and MRI in one system has proven to be
highly successful in basic preclinical research, as well as in clinical research. Nowadays …

PET/MR technology: advancement and challenges

B Bogdanovic, EL Solari, AV Asiares, L McIntosh… - Seminars in Nuclear …, 2022 - Elsevier
When this article was written, it coincided with the 11th anniversary of the installation of our
PET/MR device in Munich. In fact, this was the first fully integrated device to be in clinical …