Article
Medicine, General & Internal
Benjamim Ficial, Iuri Corsini, Elena Bonafiglia, Enrico Petoello, Alice Iride Flore, Silvia Nogara, Nicola Tsatsaris, Alan M. Groves
Summary: This study aimed to improve the accuracy of ultrasound assessment of superior vena cava (SVC) flow by modifying the measurement method. The results showed that the modified ultrasound assessment had better agreement with phase contrast magnetic resonance imaging (PCMRI) compared to the original method and prior adaptation. Using the modifications described in this study led to enhanced accuracy and decreased variability in a small cohort of premature infants.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lucas Narciso, Tracy Ssali, Linshan Liu, Sarah Jesso, Justin W. Hicks, Udunna Anazodo, Elizabeth Finger, Keith St Lawrence
Summary: This study proposes an alternative hybrid PET/MR imaging method for quantification of CBF, which calibrates an IDIF extracted from a WB [O-15]H2O time-activity curve using PC MRI measurements of WB CBF. The results demonstrate the high accuracy of this method and its ability to avoid invasive arterial sampling.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Clinical Neurology
Eleftherios Kavroulakis, Nicholas J. Simos, Thomas G. Maris, Ioannis Zaganas, Simeon Panagiotakis, Efrosini Papadaki
Summary: This study found age-related changes in intrinsic functional brain connectivity and hemodynamics in adulthood, with a greater reduction in connectivity and increased hemodynamic lead in frontal regions, while the effects were influenced by concurrent subclinical depression symptoms.
FRONTIERS IN NEUROLOGY
(2021)
Article
Chemistry, Multidisciplinary
Britney Campbell, Dhruv Yadav, Ramy Hussein, Maria Jovin, Sierrah Hoover, Kim Halbert, Dawn Holley, Mehdi Khalighi, Guido A. Davidzon, Elizabeth Tong, Gary K. Steinberg, Michael Moseley, Moss Y. Zhao, Greg Zaharchuk
Summary: In this study, deep learning models were used to automate segmentation of neck arteries in PC MRI images, providing precise quantification of blood flow. The models achieved high performance and were faster compared to traditional manual segmentation methods.
APPLIED SCIENCES-BASEL
(2023)
Article
Cell Biology
Joseph S. R. Alisch, Nikkita Khattar, Richard W. Kim, Luis E. Cortina, Abinand C. Rejimon, Wenshu Qian, Luigi Ferrucci, Susan M. Resnick, Richard G. Spencer, Mustapha Bouhrara
Summary: Cerebral blood flow varies with age in different brain regions, with white matter regions showing increased blood flow with age and women having higher blood flow than men. The study results provide a foundation for further investigation of CNS perfusion in various scenarios.
Article
Radiology, Nuclear Medicine & Medical Imaging
Anneloes de Boer, Giulia Villa, Octavia Bane, Michael Bock, Eleanor F. Cox, Ilona A. Dekkers, Per Eckerbom, Maria A. Fernandez-Seara, Susan T. Francis, Bryan Haddock, Michael E. Hall, Pauline Hall Barrientos, Ingo Hermann, Paul D. Hockings, Hildo J. Lamb, Christoffer Laustsen, Ruth P. Lim, David M. Morris, Steffen Ringgaard, Suraj D. Serai, Kanishka Sharma, Steven Sourbron, Yasuo Takehara, Andrew L. Wentland, Marcos Wolf, Frank G. Zollner, Fabio Nery, Anna Caroli
Summary: Through a systematic consensus process, technical recommendations were established for the acquisition, processing, and analysis of renal 2D PC-MRI data in human subjects to promote standardization of renal blood flow measurements and result comparability. The international panel of experts reached consensus and provided specific recommendations on data acquisition, processing, and reporting. These recommendations may encourage widespread adoption of renal PC-MRI and provide reference values for multicenter studies.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Neurosciences
Che Liu, Sang H. Lee, David A. Loewenstein, James E. Galvin, Bonnie E. Levin, Alexander McKinney, Noam Alperin
Summary: This study compared total cerebral blood flow (tCBF), global cerebral perfusion (GCP), and volumes of AD-prone regions between cognitively normal and early amnestic mild cognitive impairment (aMCI) individuals. It was found that tCBF and GCP were significantly reduced in the early aMCI group compared to the cognitively normal group. Furthermore, tCBF and GCP were significantly associated with global cognition and memory scores.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Biochemical Research Methods
Chang Liu, Kivilcim Kilic, Sefik Evren Erdener, David A. Boas, Dmitry D. Postnov
Summary: Laser speckle contrast imaging (LSCI) is a real-time full-field non-invasive technique widely used in visualizing blood flow in biomedical applications. Critical assumptions in LSCI theory were reviewed, and it was shown how they can impact the accuracy of blood flow estimation. Based on recent experimental results, an alternative model was proposed for higher accuracy in measuring blood flow changes.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Biophysics
Chih-Hsien Tseng, Jaap Jaspers, Alejandra Mendez Romero, Piotr Wielopolski, Marion Smits, Matthias J. P. van Osch, Frans Vos
Summary: The arterial input function (AIF) is crucial for estimating perfusion properties from dynamic susceptibility contrast (DSC) MRI. Measuring the AIF in absolute contrast-agent concentrations is challenging, but deriving the AIF from separately acquired dynamic contrast enhanced (DCE) MRI data is a potential solution. This study compared the AIFs derived from DCE and DSC MRI data and found that the DCE-based AIFs provided more stable and realistic measurements of perfusion coefficients.
NMR IN BIOMEDICINE
(2023)
Review
Endocrinology & Metabolism
Alasdair G. Morgan, Michael J. Thrippleton, Joanna M. Wardlaw, Ian Marshall
Summary: 4D flow is an advanced non-invasive MRI method that captures cerebral blood flow dynamics effectively and collects large amounts of information. Although data collection can be time-consuming, the development of new techniques and high-field MRI scanners is likely to make 4D flow a key method in cerebrovascular imaging studies in the future.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2021)
Article
Neurosciences
Ece Su Sayin, Jacob Schulman, Julien Poublanc, Harrison T. Levine, Lakshmikumar Venkat Raghavan, Kamil Uludag, James Duffin, Joseph A. Fisher, David J. Mikulis, Olivia Sobczyk
Summary: The assessment of resting perfusion measures currently requires a susceptibility contrast agent such as gadolinium. This study compared the perfusion measures obtained using hypoxia-induced deoxyhemoglobin and gadolinium in healthy participants. The results showed that the perfusion measures calculated using hypoxia-induced deoxyhemoglobin were comparable to those obtained with gadolinium injection.
HUMAN BRAIN MAPPING
(2023)
Article
Multidisciplinary Sciences
Patricia Clement, Marco Castellaro, Thomas W. Okell, David L. Thomas, Pieter Vandemaele, Sara Elgayar, Aaron Oliver-Taylor, Thomas Kirk, Joseph G. Woods, Sjoerd B. Vos, Joost P. A. Kuijer, Eric Achten, Matthias J. P. van Osch, John A. Detre, Hanzhang Lu, David C. Alsop, Michael A. Chappell, Luis Hernandez-Garcia, Jan Petr, Henk J. M. M. Mutsaerts
Summary: ASL-BIDS is a standardized method for ASL data storage that can improve the reproducibility and data sharing of ASL research.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jos J. M. Westenberg, Hans C. Assen, Pieter J. den Boogaard, Jelle J. Goeman, Hicham Saaid, Jason Voorneveld, Johan Bosch, Sasa Kenjeres, Tom Claessens, Pankaj Garg, Marc Kouwenhoven, Hildo J. Lamb
Summary: Velocity and flow rates are inaccurate for 4DEPI with EPI factor 5 when flow is parallel to the readout or blip phase-encoding gradient. However, mean differences in flow rate, voxel-based speed, and spatio-temporal median speed were acceptable (<= 10%) when comparing 4DEPI to 4DGRE for intracardiac flow in healthy volunteers.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Physiology
Payal Shah, Eamon Doyle, John C. Wood, Matthew T. Borzage
Summary: Phase contrast (PC) MR imaging through four feeding arteries can rapidly and robustly measure cerebral blood flow (CBF). We developed imputation models that accurately estimate total CBF from measurements in subsets of these arteries, allowing retrospective correction for corrupted data and guiding prospective CBF acquisitions.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Datta Singh Goolaub, Jiawei Xu, Eric M. Schrauben, Davide Marini, John C. Kingdom, John G. Sled, Mike Seed, Christopher K. Macgowan
Summary: The paper presents a method for volumetric imaging of fetal flow using MRI. The method overcomes the challenges of small vascular structures and unpredictable motion through the use of orthogonal multislice stacks and motion correction. The results demonstrate the feasibility of the method in both adult and late gestation fetus, providing insights into complex flow pathways in human fetal circulation.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Neurosciences
Feng Xu, Wenbo Li, Peiying Liu, Jun Hua, John J. Strouse, James J. Pekar, Hanzhang Lu, Peter C. M. van Zijl, Qin Qin
HUMAN BRAIN MAPPING
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jill B. De Vis, Hanzhang Lu, Harshan Ravi, Jeroen Hendrikse, Peiying Liu
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Deng Mao, Yang Li, Peiying Liu, Shin-Lei Peng, Jay J. Pillai, Hanzhang Lu
MAGNETIC RESONANCE IN MEDICINE
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jill B. De Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M. Rodrigue, Denise C. Park, Hanzhang Lu
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2018)
Article
Critical Care Medicine
Jaclyn A. Stephens, Peiying Liu, Hanzhang Lu, Stacy J. Suskauer
JOURNAL OF NEUROTRAUMA
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Dengrong Jiang, Peiying Liu, Yang Li, Deng Mao, Cuimei Xu, Hanzhang Lu
MAGNETIC RESONANCE IN MEDICINE
(2018)
Review
Neurosciences
Peiying Liu, Jill B. De Vis, Hanzhang Lu
Article
Neurosciences
Jun Hua, Peiying Liu, Tae Kim, Manus Donahue, Swati Rane, J. Jean Chen, Qin Qin, Seong-Gi Kim
Article
Physiology
Ying Qi, Peiying Liu, Zixuan Lin, Hanzhang Lu, Xiaoming Wang
FRONTIERS IN PHYSIOLOGY
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhiliang Wei, Lin Chen, Zixuan Lin, Dengrong Jiang, Jiadi Xu, Peiying Liu, Peter C. M. van Zijl, Hanzhang Lu
MAGNETIC RESONANCE IN MEDICINE
(2019)
Article
Biophysics
Yang Li, Peiying Liu, Yue Li, Hongli Fan, Pan Su, Shin-Lei Peng, Denise C. Park, Karen M. Rodrigue, Hangyi Jiang, Andreia V. Faria, Can Ceritoglu, Michael Miller, Susumu Mori, Hanzhang Lu
NMR IN BIOMEDICINE
(2019)
Article
Pediatrics
Anil N. Shetty, Ashley M. Lucke, Peiying Liu, Magdalena Sanz Cortes, Joseph L. Hagan, Zili D. Chu, Jill V. Hunter, Hanzhang Lu, Wesley Lee, Jeffrey R. Kaiser
PEDIATRIC RADIOLOGY
(2019)
Article
Neurosciences
Xirui Hou, Peiying Liu, Hong Gu, Micaela Chan, Yang Li, Shin-Lei Peng, Gagan Wig, Yihong Yang, Denise Park, Hanzhang Lu
Article
Neuroimaging
Kevin S. King, Min Sheng, Peiying Liu, Christopher D. Maroules, Craig D. Rubin, Ron M. Peshock, Roderick W. McColl, Hanzhang Lu
NEURORADIOLOGY JOURNAL
(2018)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.