Article
Radiology, Nuclear Medicine & Medical Imaging
Alessandro Sciarra, Hendrik Mattern, Renat Yakupov, Soumick Chatterjee, Daniel Stucht, Steffen Oeltze-Jafra, Frank Godenschweger, Oliver Speck
Summary: The study aimed to quantitatively assess the PMC capability at 7T MRI for healthy compliant subjects, showing significant improvement in image quality with PMC according to both subjective evaluation and objective metrics.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Cemre Ariyurek, Tess E. Wallace, Tobias Kober, Sila Kurugol, Onur Afacan
Summary: This study evaluates the feasibility of using FID navigators for real-time prospective motion measurement and correction. The results indicate that the proposed method can accurately track and correct the position of the kidneys, improving the quality of kidney imaging.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jakob M. Slipsager, Stefan L. Glimberg, Liselotte Hojgaard, Rasmus R. Paulsen, Paul Wighton, M. Dylan Tisdall, Camilo Jaimes, Borjan A. Gagoski, P. Ellen Grant, Andre van Der Kouwe, Oline V. Olesen, Robert Frost
Summary: Comparing prospective motion correction (PMC) and retrospective motion correction (RMC) in Cartesian 3D-encoded MPRAGE scans showed that PMC resulted in superior image quality compared to RMC, with increasing correction frequency reducing motion artifacts in RMC.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Michael A. Bush, Yue Pan, Ning Jin, Yingmin Liu, Juliet Varghese, Rizwan Ahmad, Orlando P. Simonetti
Summary: Respiratory motion in cardiovascular MRI poses challenges, but a patient-specific prospective motion correction (PROCO) method is shown to reduce spatial variation in myocardial T(1)and T(2)mapping techniques. This technique allows for efficient free-breathing acquisitions with improved accuracy.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Adam van Niekerk, Johan Berglund, Tim Sprenger, Ola Norbeck, Enrico Avventi, Henric Ryden, Stefan Skare
Summary: This study successfully synchronized information between a wireless motion-tracking device and a pulse sequence, demonstrating customizable navigator interleaving schemes. By utilizing RF signatures, complex interactions were enabled, leading to successful motion correction in MRI scanners without hardware modifications.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Adam Johansson, James M. Balter, Yue Cao
Summary: A new GI 4D MRI technique is presented in this study, which can clearly visualize periodic gastrointestinal motion without interference from respiratory motion. This technique may help define internal target volumes for treatment planning, aid in planning organ at risk volume definition, or support motion model development for gastrointestinal motion tracking algorithms.
Article
Neurosciences
Laetitia Vionnet, Alexander Aranovitch, Yolanda Duerst, Maximilian Haeberlin, Benjamin Emmanuel Dietrich, Simon Gross, Klaas Paul Pruessmann
Summary: This study implemented and characterized a system that aims to simultaneously address magnetic field stabilization and motion correction issues, overcoming potential mutual interference and instability. Performance assessment showed the resulting system to be stable, exhibiting adequate loop decoupling, precision, and bandwidth. Simultaneous field and motion control was successfully demonstrated in in vivo imaging examples at 7T.
Article
Radiology, Nuclear Medicine & Medical Imaging
Patrick Hucker, Michael Dacko, Maxim Zaitsev
Summary: This study aims to combine the advantages of prospective and retrospective motion corrections for rigid body motion to correct for faster motions, providing insights into the effects of motion on pulse sequences and MR signals. By calculating the effective encoding trajectory and global phase offset in a moving object and conducting verification experiments, the results show that the combined correction results in better images than pure prospective motion correction in the presence of fast motion.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Clinical Neurology
Kambiz Nael, Puneet S. Pawha, Lazar Fleysher, Kezia George, Julianne Stueben, Michael Roas-Loeffler, Bradley N. Delman, Zahi A. Fayad
Summary: This study assessed the efficacy of a commercially available prospective motion correction system in reducing motion artifacts in brain MRI scans. The results showed a significant improvement in image quality and a reduction in non-diagnostic studies after motion correction.
JOURNAL OF NEUROIMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaopeng Zong, Soham Nanavati, Sheng-Che Hung, Tengfei Li, Weili Lin
Summary: The study found that motion significantly affects MRI image quality and quantitative measurement of the perivascular space and penetrating vessel complex in the brain. Using retrospective motion correction can improve the visualization of PVSV.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Philipp Rovedo, Hans Meine, Patrick Hucker, Elham Taghizadeh, Kaywan Izadpanah, Maxim Zaitsev, Thomas Lange
Summary: This study measured the dynamics of patellofemoral cartilage deformation and recovery in response to in situ loading and unloading using MRI. The results showed a viscoelastic response of the cartilage, with larger elastic compression and recovery compared to viscous compression and recovery. There was also a significant residual offset strain across the cohort, and a negative correlation between elastic compression and elastic recovery.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Yung-Chin Hsua, Wen-Yih Isaac Tseng
Summary: This paper proposes a registration-based algorithm to correct various distortions or artifacts commonly observed in diffusion-weighted magnetic resonance images. The algorithm uses anatomical images and a pseudo diffusion MRI data for registration, and estimates the models of artifacts simultaneously. The evaluation shows that the method accurately estimates model parameters and effectively reduces artifacts. This method is beneficial for most dMRI data, especially those acquired without additional field maps or reverse phase-encoding images.
Article
Clinical Neurology
Kost Elisevich, Esmaeil Davoodi-Bojd, John G. Heredia, Hamid Soltanian-Zadeh
Summary: A prospective study was conducted on quantitative imaging applications for lateralizing epileptogenicity in patients with mesial temporal lobe epilepsy. Various neuroimaging modalities were evaluated, with multistructural analysis, multimodal model analysis, and PET showing the best predictive outcomes for surgical results. Continued exploration of combined optimal neuroimaging metrics will improve prediction models.
FRONTIERS IN NEUROLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Julian Hossbach, Daniel Nicolas Splitthoff, Stephen Cauley, Bryan Clifford, Daniel Polak, Wei-Ching Lo, Heiko Meyer, Andreas Maier
Summary: This study introduces a novel method for retrospective motion correction in clinical MRI of the head, which combines classical model-driven and data-consistency approaches with a deep learning algorithm. The motion parameters are estimated using a DL network, and integrated into an iterative data-consistency driven motion correction algorithm. The results demonstrate that this method improves image quality while reducing computation time.
Article
Neurosciences
Julia F. Soares, Rodolfo Abreu, Ana Claudia Lima, Livia Sousa, Sonia Batista, Miguel Castelo-Branco, Joao Valente Duarte
Summary: Functional MRI (fMRI) is widely used in studying brain organization and connectivity abnormalities in neurological conditions. This study compared different methods for correcting motion effects in fMRI data and found that models with 6 motion parameters and volume interpolation were the most effective in preserving valuable information in both healthy controls and early multiple sclerosis patients. The results highlight the importance of motion correction strategies in task-based fMRI studies, particularly in clinical populations.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
K. T. Chen, O. Adeyeri, T. N. Toueg, M. Zeineh, E. Mormino, M. Khalighi, G. Zaharchuk
Summary: Accurate amyloid PET images can be generated using enhanced ultra-low-dose PET and either nonsimultaneous or simultaneous MR imaging, broadening the utility of ultra-low-dose amyloid PET imaging.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Engineering, Biomedical
Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh, Ashlyn A. Callan, Eli Rice, Yuzhe Liu, Zhou Zhou, Michael Zeineh, David B. Camarillo
Summary: This work presents a new physics-informed machine learning model for analyzing kinematic data and detecting impacts to the head. By simulating head impacts and creating a large synthetic dataset, the model achieves improved performance compared to traditional impact detectors. It shows the best results to date for impact detection in American football.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Biotechnology & Applied Microbiology
Zhou Zhou, Xiaogai Li, August G. Domel, Emily L. Dennis, Marios Georgiadis, Yuzhe Liu, Samuel J. Raymond, Gerald Grant, Svein Kleiven, David Camarillo, Michael Zeineh
Summary: Hippocampal injury is common in traumatic brain injury patients, and this study found that the adjacent fluid-containing temporal horn may exacerbate the vulnerability of the hippocampus. The presence of the temporal horn was associated with increased strain and strain rate in the hippocampus, indicating a mechanobiological dependency of the hippocampus on the temporal horn.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Biomedical
Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Summary: This study investigates the relationship between brain strain and kinematic features in different types of head impacts. The researchers used a data-driven approach and found piecewise multivariate linearity between cumulative strain damage (CSDM) and head kinematic features. They compared different partition methods and found that the K-means clustering method showed significantly higher regression accuracy for CSDM. The study suggests that this method may contribute to the rapid prediction of CSDM in the future.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Clinical Neurology
Gustavo Chau Loo Kung, Andrew Chiu, Zach Davey, Nicole Mouchawar, Mackenzie Carlson, Hossein Moein Taghavi, Douglas Martin, Kevin Graber, Babak Razavi, Jennifer McNab, Michael Zeineh
Summary: This study explores the use of DTI and NODDI to identify microstructural abnormalities in the hippocampus and diagnose mesial temporal sclerosis (MTS) at the subfield level. The results suggest that analyzing diffusion metrics in the dentate gyrus and CA1 may aid in the clinical confirmation of MTS.
Review
Neurosciences
Dean Tran, Phillip DiGiacomo, Donald E. Born, Marios Georgiadis, Michael Zeineh
Summary: Alzheimer's disease is a debilitating brain disorder with no effective treatment. The accumulation of beta-amyloid and tau proteins are key markers for the disease, but the exact mechanisms behind neurodegeneration in AD are still not well understood. Abnormal iron accumulation may play a role in the pathogenesis of AD, and further research is needed to develop iron-based biomarkers or therapeutic targets.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Summary: The study utilized principal component analysis (PCA) to analyze the spatial co-variation of injury metrics in four types of head impacts, aiding in the improvement of the machine learning head model (MLHM). PCA-MLHM reduced model parameters by 74% with comparable MPS estimation accuracy.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Neurosciences
Syed S. Hashmi, Eric K. van Staalduinen, Tarik F. Massoud
NEUROIMAGING CLINICS OF NORTH AMERICA
(2022)
Article
Neurosciences
Syed S. Hashmi, Kimberly D. Seifert, Tarik F. Massoud
NEUROIMAGING CLINICS OF NORTH AMERICA
(2022)
Article
Engineering, Biomedical
Xianghao Zhan, Anna Oeur, Yuzhe Liu, Michael M. Zeineh, Gerald A. Grant, Susan S. Margulies, David B. Camarillo
Summary: This review explores the connection between biomechanics and the pathology of mild traumatic brain injury (mTBI) by utilizing neuroimaging, neurobehavioral tests, and pathological studies across different species. The study findings suggest that strain and strain rate can predict the pathology of mTBI, and the results are applicable to various species.
CURRENT OPINION IN BIOMEDICAL ENGINEERING
(2022)
Article
Biology
Miriam Menzel, David Grassel, Ivan Rajkovic, Michael M. Zeineh, Marios Georgiadis
Summary: Disentangling human brain connectivity requires an accurate description of nerve fiber trajectories, which is challenging due to the crossing of axons. This study applies scattered light imaging (SLI) and small-angle X-ray scattering (SAXS) techniques to validate diffusion magnetic resonance imaging (dMRI) for axonal orientation imaging. The results show that SLI and SAXS can provide quantitative micrometer 3D fiber orientations with high resolution and specificity, facilitating detailed investigations of complex fiber architecture in the animal and human brain.
Article
Hospitality, Leisure, Sport & Tourism
Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Summary: This study investigated the spectral characteristics of different head impact types using kinematics classification. The machine-learning-based classifier showed high accuracy in classifying head impact types, and different types of impacts had different distributions of spectral densities in low- and high-frequency ranges. This research contributes to a better understanding of impact kinematics in different sports.
JOURNAL OF SPORT AND HEALTH SCIENCE
(2023)
Article
Clinical Neurology
Maged Goubran, Brian David Mills, Marios Georgiadis, Mahta Karimpoor, Nicole Mouchawar, Sohrab Sami, Emily Larson Dennis, Carolyn Akers, Lex Mitchell, Brian Boldt, David Douglas, Phillip Scott Digiacomo, Jarrett Rosenberg, Gerald Grant, Max Wintermark, David Benjamin Camarillo, Michael Zeineh
Summary: This study investigated longitudinal changes in brain microstructure of high-contact (football) and low-contact (volleyball) collegiate athletes using advanced diffusion MRI. It found significant differences in microstructural metrics and tracts between football and volleyball players, especially in concussed football players. The findings suggest alterations in white matter development in football athletes due to concussive and repeated subconcussive impacts.
Article
Clinical Neurology
Wolfgang Koehler, Marc Engelen, Florian Eichler, Robin Lachmann, Ali Fatemi, Jacinda Sampson, Ettore Salsano, Josep Gamez, Maria Judit Molnar, Silvia Pascual, Maria Rovira, Anna Vila, Guillem Pina, Itziar Martin-Ugarte, Adriana Mantilla, Pilar Pizcueta, Laura Rodriguez-Pascau, Estefania Traver, Anna Vilalta, Maria Pascual, Marc Martinell, Uwe Meya, Fanny Mochel
Summary: The effect of leriglitazone on disease progression in adult patients with adrenomyeloneuropathy was evaluated. The study found that leriglitazone did not significantly affect the change in the Six-Minute Walk Test distance, but it was generally well tolerated with adverse event rates in line with the expected safety profile for this drug class. Further investigation is needed to determine if leriglitazone can slow the progression of cerebral adrenoleukodystrophy.
Article
Pathology
Li Lei, Eric Van Staalduinen, Megan Troxell, Michael G. Ozawa, Michael Zeineh, Gerald Berry
Summary: This case report describes a 62-year-old male patient with a salivary gland tumor that exhibited complex pathological features. The treatment included surgical resection, immunotherapy, and chemotherapy, and the patient is currently alive.
HEAD & NECK PATHOLOGY
(2022)