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 …

Nuts and bolts of 4D-MRI for radiotherapy

B Stemkens, ES Paulson… - Physics in Medicine & …, 2018 - iopscience.iop.org
Magnetic resonance imaging (MRI) is increasingly being used in the radiotherapy workflow
because of its superior soft tissue contrast and high flexibility in contrast. In addition to …

Retrospective correction of motion‐affected MR images using deep learning frameworks

T Küstner, K Armanious, J Yang, B Yang… - Magnetic resonance …, 2019 - Wiley Online Library
Purpose Motion is 1 extrinsic source for imaging artifacts in MRI that can strongly deteriorate
image quality and, thus, impair diagnostic accuracy. In addition to involuntary physiological …

MRI-guidance for motion management in external beam radiotherapy: current status and future challenges

C Paganelli, B Whelan, M Peroni… - Physics in Medicine …, 2018 - iopscience.iop.org
High precision conformal radiotherapy requires sophisticated imaging techniques to aid in
target localisation for planning and treatment, particularly when organ motion due to …

Automated reference-free detection of motion artifacts in magnetic resonance images

T Küstner, A Liebgott, L Mauch, P Martirosian… - … Resonance Materials in …, 2018 - Springer
Objectives Our objectives were to provide an automated method for spatially resolved
detection and quantification of motion artifacts in MR images of the head and abdomen as …

Unpaired MR motion artifact deep learning using outlier-rejecting bootstrap aggregation

G Oh, JE Lee, JC Ye - IEEE Transactions on Medical Imaging, 2021 - ieeexplore.ieee.org
Recently, deep learning approaches for MR motion artifact correction have been extensively
studied. Although these approaches have shown high performance and lower …

MR-based respiratory and cardiac motion correction for PET imaging

T Küstner, M Schwartz, P Martirosian, S Gatidis… - Medical image …, 2017 - Elsevier
Purpose: To develop a motion correction for Positron-Emission-Tomography (PET) using
simultaneously acquired magnetic-resonance (MR) images within 90 s. Methods: A 90 s MR …

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 …

Respiratory motion‐resolved, self‐gated 4D‐MRI using rotating cartesian k‐space (ROCK)

F Han, Z Zhou, M Cao, Y Yang, K Sheng… - Medical physics, 2017 - Wiley Online Library
Purpose To propose and validate a respiratory motion resolved, self‐gated (SG) 4D‐MRI
technique to assess patient‐specific breathing motion of abdominal organs for radiation …

A modern review of the uncertainties in volumetric imaging of respiratory‐induced target motion in lung radiotherapy

I Vergalasova, J Cai - Medical physics, 2020 - Wiley Online Library
Radiotherapy has become a critical component for the treatment of all stages and types of
lung cancer, often times being the primary gateway to a cure. However, given that radiation …