Article
Computer Science, Interdisciplinary Applications
Oliver Giraldo-Londono, Jonathan B. Russ, Miguel A. Aguilo, Glaucio H. Paulino
Summary: This study presents a formulation for topology optimization of structures with constraints on the first principal stress, solved using the augmented Lagrangian method to consider local stress constraints. Numerical examples demonstrate the effectiveness of the framework for practical problems with numerous local constraints, such as the three-dimensional antenna support bracket with over one million constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sean McTavish, Anh T. Van, Johannes M. Peeters, Kilian Weiss, Marcus R. Makowski, Rickmer F. Braren, Dimitrios C. Karampinos
Summary: The study aimed to assess the impact of respiratory motion and cardiac driven pulsation on renal DWI and investigate the use of asymmetrical velocity-compensated diffusion encoding waveforms for robust ADC mapping in the kidneys. The results showed that short trigger delays in respiratory-triggered scans could cause higher ADC values, especially in the right kidney. The asym-vc waveform was found to reduce ADC variation due to respiratory motion, although at the cost of reduced SNR compared to the pgse waveform.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Biophysics
Yiming Dong, Malte Riedel, Kirsten Koolstra, Matthias J. P. van Osch, Peter Bornert
Summary: The study aims to develop a self-navigation strategy to improve the scan efficiency and image quality of water/fat separated, diffusion-weighted multishot echo-planar imaging (ms-EPI). By acquiring chemical shift-encoded diffusion-weighted data and using appropriate signal models, reconstruction directly from k-space data is enabled. The proposed algorithm provides superior water-only diffusion-weighted EPI images with less artifacts compared to existing methods.
NMR IN BIOMEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Alper Gungor, Mujdat Cetin, H. Emre Guven
Summary: This paper investigates the problem of synthetic aperture radar (SAR) image reconstruction from undersampled data with phase errors. The authors propose an optimization-based method to simultaneously estimate phase errors and the underlying image. They employ a combination of useful priors, including strong sparse scattering and piecewise smoothness, and solve the optimization problems using alternating direction method of multipliers (ADMM). Experimental results using simulated and real data show that the proposed method outperforms existing methods in terms of reconstruction quality, computation speed, and phase error estimation performance.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elisa Roccia, Radhouene Neji, Thomas Benkert, Berthold Kiefer, Vicky Goh, Isabel Dregely
Summary: This study achieved non-distorted 3D ADC maps of the prostate using a msDP sequence and dictionary matching. In kiwifruit phantom experiments, ADC values estimated using msDP-GRE with dictionary matching showed no significant difference compared to clinical standard DW-EPI. Prostate msDP-GRE scans were free of geometric distortion.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Computer Science, Artificial Intelligence
Amin Jalali, Minho Lee
Summary: This study proposes an adversarial Lagrangian integrated contrastive embedding (ALICE) method for small-sized datasets. The method demonstrates improved accuracy and training convergence through pre-trained adversarial transfer. It also investigates an adversarial integrated contrastive model with various augmentation techniques and incorporates multi-objective augmented Lagrangian multipliers to encourage low-rank and sparsity.
Article
Neurosciences
Alexandru V. Avram, Kadharbatcha S. Saleem, Peter J. Basser
Summary: High-resolution imaging studies have shown that water diffusion in cortical tissue preferentially occurs along radial and tangential orientations. Based on this finding, a new imaging framework is proposed to visualize non-parametric diffusion tensor distributions. The framework allows efficient reconstruction of microscopic diffusion tensors and quantification of their shape and size characteristics. The framework is validated by comparing the results with histological observations, demonstrating its potential for analyzing the microstructure of brain tissue.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Construction & Building Technology
Ester Barbieri, Francesca Trevisiol, Cesare Pizzigatti, Gabriele Bitelli, Elisa Franzoni
Summary: This paper examines the behavior of brick masonry subjected to wetting using infrared thermography as a non-invasive technique. The study investigates the impact of different water repellent coatings on water transport properties and highlights the critical issue of drying behavior.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Environmental Sciences
Junkui Tang, Zheng Liu, Lei Ran, Rong Xie, Jikai Qin
Summary: The MIMO radar utilizes waveform diversity technology to form a virtual aperture, improving the azimuth resolution of forward-looking imaging. However, the super-resolution imaging capability of MIMO radar is limited, only doubling the resolution compared to real aperture. The sparse distribution of targets in the forward-looking image allows for the application of the compressed sensing (CS) method, further improving the resolution.
Article
Neurosciences
Diego Alves Rodrigues de Souza, Herve Mathieu, Jean-Christophe Deloulme, Emmanuel L. Barbier
Summary: Compressed sensing (CS) is used in clinical diffusion MRI to accelerate acquisitions, but its use in preclinical settings is limited. This study optimized and compared CS reconstruction methods for diffusion imaging, finding that the kernel low-rank (KLR)-CS approach outperformed the conventional CS approach in terms of error and structural similarity index measure (SSIM). The KLR-CS method showed promising results in accelerating preclinical diffusion MRI and mitigating the effect of frequency drift.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Statistics & Probability
Dag Tjostheim, Martin Jullum, Anders Loland
Summary: This article surveys the recent activity in embedding very high-dimensional and nonlinear data structures, focusing on data science and machine learning literature. The survey is divided into four parts, covering nonlinear methods, topological embedding methods, embedding of high-dimensional network data, and visualization in R2. The article provides a comparison and discussion of the pros and cons of different methods, helping readers understand and choose the appropriate approach.
STATISTICAL SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Stephan Daniel Schwoebel, Thomas Mehner, Thomas Lampke
Summary: This article introduces a new method combining homotopy methods, modern augmented Lagrangian methods, and adaptive FEMs for simulating diffusion-reaction models with non-negative concentrations. The method aims to ensure non-negative species distributions in the model and effectively calculate them, while obtaining robust and efficient simulation results.
Article
Neuroimaging
Joseph J. Shaffer, Virginia Willour, Jess G. Fiedorowicz, Gary E. Christensen, Jeffrey D. Long, Casey P. Johnson, Samantha L. Schmitz, Aislinn J. Williams, John Wemmie, Vincent A. Magnotta
Summary: This study explored the relationship between suicide attempts and brain imaging measures in bipolar disorder, finding differences in brain activation and metabolism associated with suicide attempts. The study also revealed that the number of suicide attempts was related to differences in brain regions, indicating different neurobiological underpinnings for suicide history and number of attempts.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Merry Mani, Baolian Yang, Girish Bathla, Vincent Magnotta, Mathews Jacob
Summary: A new method for the recovery of combined in-plane and multi-band accelerated diffusion MRI data is proposed, utilizing additional q-space prior and model-based iterative reconstruction to efficiently reconstruct the data. The joint reconstruction approach is shown to simultaneously unalias and recover DWIs with reasonable accuracy, even for highly accelerated multi-shell datasets.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Clinical Neurology
Ellen van der Plas, Jeffrey D. Long, Timothy R. Koscik, Vincent Magnotta, Darren G. Monckton, Sarah A. Cumming, Amy C. Gottschalk, Marco Hefti, Laurie Gutmann, Peggy C. Nopoulos
Summary: This study compared neuronal injury markers in individuals with adult-onset myotonic dystrophy type 1 (DM1) and those without, finding that NF-L was sensitive to disease onset and severity. However, the tau assay may have low sensitivity to tau pathology associated with DM1. The interaction between age and CTG repeat was associated with NF-L levels.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Vincent A. Magnotta, Jia Xu, Jess G. Fiedorowicz, Aislinn Williams, Joseph Shaffer, Gary Christensen, Jeffrey D. Long, Eric Taylor, Leela Sathyaputri, Jenny Gringer Richards, Gail Harmata, John Wemmie
Summary: This study investigates the brain metabolism in individuals with Bipolar type I disorder (BD) using various imaging and spectroscopy techniques. The findings suggest abnormalities in the cerebellum and putamen, indicating a link between BD and altered metabolism in these brain regions.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Behavioral Sciences
Erin E. Reasoner, Ellen Plas, Hend M. Al-Kaylani, Douglas R. Langbehn, Amy L. Conrad, Jordan L. Schultz, Eric A. Epping, Vincent A. Magnotta, Peggy C. Nopoulos
Summary: This study compared neuropsychiatric symptoms between child and adolescent huntingtin gene-mutation carriers and noncarriers. The findings showed that the gene-expanded (GE) group had lower depression/anxiety scores compared to the gene nonexpanded (GNE) group. The growth trajectory of striatal volume predicted depression scores, suggesting an association between the differential growth of the striatum and lower depression/anxiety in GE children and adolescents.
BRAIN AND BEHAVIOR
(2022)
Article
Neurosciences
Erin E. Reasoner, Ellen van der Plas, Douglas R. Langbehn, Amy L. Conrad, Timothy R. Koscik, Eric A. Epping, Vincent A. Magnotta, Peggy C. Nopoulos
Summary: This study found that while striatal development differs significantly in carriers of mutant huntingtin, cortical development appears to be grossly normal among child and adolescent carriers of mHTT.
JOURNAL OF HUNTINGTONS DISEASE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Erpeng Dai, Merry Mani, Jennifer A. McNab
Summary: This study developed a joint reconstruction method for multi-band multi-shot diffusion MRI, termed JULEP. By combining two different reconstruction approaches, structured low-rank constraints and explicit phase mapping, JULEP improves image quality and reconstruction efficiency simultaneously. Compared with conventional methods, JULEP shows advantages in mitigating structural bias and improving temporal SNR, while also enhancing computational efficiency.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Clinical Neurology
Jordan L. Schultz, Douglas R. Langbehn, Hend M. Al-Kaylani, Ellen van der Plas, Timothy R. Koscik, Eric A. Epping, Patricia B. Espe-Pfeifer, Erin P. Martin, David J. Moser, Vincent A. Magnotta, Peggy C. Nopoulos
Summary: This study aimed to quantify disease progression in juvenile-onset Huntington's disease (JOHD) and explore its application in clinical trials. The results demonstrate that structural brain imaging and clinical measures in JOHD may serve as potential biomarkers of disease progression.
MOVEMENT DISORDERS
(2023)
Letter
Clinical Neurology
Jordan L. Schultz, Eric A. Epping, Ellen van der Plas, Vincent A. Magnotta, Peggy C. Nopoulos
MOVEMENT DISORDERS
(2022)
Article
Neurosciences
Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark Logue, C. Lexi Baird, Erin N. O'Leary, Andrew S. Cotton, Hong Xie, Marijo Tamburrino, Tian Chen, Emily L. Dennis, Neda Jahanshad, Lauren E. Salminen, Sophia Thomopoulos, Faisal Rashid, Christopher R. K. Ching, Saskia B. J. Koch, Jessie L. Frijling, Laura Nawijn, Mirjam van Zuiden, Xi Zhu, Benjamin Suarez-Jimenez, Anika Sierk, Henrik Walter, Antje Manthey, Jennifer S. Stevens, Negar Fani, Sanne J. H. van Rooij, Murray Stein, Jessica Bomyea, Inga K. Koerte, Kyle Choi, Steven J. A. van der Werff, Robert R. J. M. Vermeiren, Julia Herzog, Lauren A. M. Lebois, Justin T. Baker, Elizabeth A. Olson, Thomas Straube, Mayuresh S. Korgaonkar, Elpiniki Andrew, Ye Zhu, Gen Li, Jonathan Ipser, Anna R. Hudson, Matthew Peverill, Kelly Sambrook, Evan Gordon, Lee Baugh, Gina Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent Magnotta, Adi Maron-Katz, Stefan du Plessis, Seth G. Disner, Nicholas Davenport, Daniel W. Grupe, Jack B. Nitschke, Terri A. DeRoon-Cassini, Jacklynn M. Fitzgerald, John H. Krystal, Ifat Levy, Miranda Olff, Dick J. Veltman, Li Wang, Yuval Neria, Michael D. De Bellis, Tanja Jovanovic, Judith K. Daniels, Martha Shenton, Nic J. A. van de Wee, Christian Schmahl, Milissa L. Kaufman, Isabelle M. Rosso, Scott R. Sponheim, David Bernd Hofmann, Richard A. Bryant, Kelene A. Fercho, Dan J. Stein, Sven C. Mueller, Bobak Hosseini, K. Luan Phan, Katie A. McLaughlin, Richard J. Davidson, Christine L. Larson, Geoffrey May, Steven M. Nelson, Chadi G. Abdallah, Hassaan Gomaa, Amit Etkin, Soraya Seedat, Ilan Harpaz-Rotem, Israel Liberzon, Theo G. M. van Erp, Yann Quide, Xin Wang, Paul M. Thompson, Rajendra A. Morey
Summary: This study compared the impact of different data harmonization methods on cortical thickness data analysis results, finding that ComBat-GAM was more sensitive than other methods in detecting differences between cases and controls.
Article
Multidisciplinary Sciences
Deniz A. Madencioglu, Karina A. Kruth, Thomas H. Wassink, Vincent A. Magnotta, John A. Wemmie, Aislinn J. Williams
Summary: The precise and timely development of the cerebellum is crucial for motor coordination, balance, and cognition. Disruption in cerebellar development is associated with neurodevelopmental disorders. Previous studies on cerebellar development in humans were limited to post-mortem studies or neuroimaging, which cannot capture the molecular and cellular changes during early development. The emergence of iPSC technology allows for in vitro modeling of early brain development. This study presents a simplified method to generate cerebellar cells from iPSCs, which can be used for downstream applications.
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
(2022)
Article
Psychology, Biological
Sobanawartiny Wijeakumar, Samuel H. Forbes, Vincent A. Magnotta, Sean Deoni, Kiara Jackson, Vinay P. Singh, Madhuri Tiwari, Aarti Kumar, John P. Spencer
Summary: Stunting in infancy has a negative impact on visual working memory and attention in infants, affecting their long-term cognitive outcomes. Intervention efforts should focus on improving working memory and reducing distractibility in infancy.
NATURE HUMAN BEHAVIOUR
(2023)
Article
Neurosciences
Victoria A. Mueller Ewald, Jessica R. Purnell, Joel E. Bruss, Ercole J. Barsotti, Amro S. Aldine, Kurayi G. Mahachi, John A. Wemmie, Vincent A. Magnotta, Aaron D. Boes, Krystal L. Parker, Jess G. Fiedorowicz
Summary: This study found a higher incidence of posterior fossa arachnoid cysts (PFACs) in bipolar disorder patients and suggested that those with PFACs may have milder symptoms. The findings align with prior research and suggest an association between PFACs and psychiatric symptoms.
Article
Clinical Neurology
Jordan L. Schultz, Amanda E. Heinzerling, Alivia N. Brinker, Lyndsay A. Harshman, Vincent A. Magnotta, John A. Kamholz, Aaron D. Boes, Peg C. Nopoulos
Summary: Schultz et al. found that autonomic dysfunction in patients with presymptomatic Huntington's disease was associated with decreased functional connectivity within the Central Autonomic Network. These findings provide insight into the underlying pathology of autonomic dysfunction in Huntington's disease and its potential as a marker for disease progression.
BRAIN COMMUNICATIONS
(2022)
