Feifei Qu, Taotao Sun, Julio Marin-Concha, Sunil Jaiman, Ling Jiang, Swati Mody, Edgar Hernandez-Andrade, Karthikeyan Subramanian, Zhaoxia Qian, Roberto Romero, E Mark Haacke
OBJECTIVES: The objective of this work was to investigate the application of 2D Time-of-Flight (TOF) magnetic resonance angiography (MRA) to observe the placental vasculature at both 1.5 T and 3 T. METHODS: Fifteen appropriate for gestational age (AGA) (GA: 29.7 ± 3.4 weeks; GA range: 23 and 6/7 weeks to 36 and 2/7 weeks) and eleven patients with an abnormal singleton pregnancy (GA: 31.4 ± 4...
May 17, 2023: Magnetic Resonance Imaging
Karyna Isaieva, Justine Leclère, Jacques Felblinger, Romain Gillet, Xavier Dubernard, Pierre-André Vuissoz
Diagnosis of temporomandibular disorders is currently based on clinical examination and static MRI. Real-time MRI enables tracking of condylar motion and, thus, evaluation of their motion symmetricity (which could be associated with temporomandibular joint disorders). The purpose of this work is to propose an acquisition protocol, an image processing approach, and a set of parameters enabling objective assessment of motion asymmetry; to check the reliability and find the limitations of the approach, and to verify if the automatically calculated parameters are associated with the motion symmetricity...
May 13, 2023: Magnetic Resonance Imaging
Paul Kyu Han, Thibault Marin, Yue Zhuo, Jinsong Ouyang, Georges El Fakhri, Chao Ma
PURPOSE: To develop an arterial spin labeling (ASL) perfusion imaging method with balanced steady-state free precession (bSSFP) readout and radial sampling for improved SNR and robustness to motion and off-resonance effects. METHODS: An ASL perfusion imaging method was developed with pseudo-continuous arterial spin labeling (pCASL), bSSFP readout, and multiple phase-cycling. Three-dimensional (3D) k-space data were collected in segmented acquisitions following a stack-of-stars sampling trajectory...
May 13, 2023: Magnetic Resonance Imaging
Masaki Ogawa, Hirohito Kan, Misugi Urano, Tatsuya Kawai, Haruna Nakajima, Kazuma Murai, Hirotaka Miyaji, Tatsuya Toyama, Akio Hiwatashi
RATIONALE AND OBJECTIVES: To examine the diagnostic performance of a three-compartment diffusion model with the fixed cut-off diffusion coefficient (D) using magnetic resonance spectral diffusion analysis for differentiating between invasive ductal carcinoma (IDC) and ductal carcinoma in situ (DCIS) and compare the conventional apparent D (ADC), and mean kurtosis (MK), with the tissue D (DIVIM ), perfusion D (D*IVIM ), and perfusion fraction (fIVIM ) calculated by conventional intravoxel incoherent motion...
May 11, 2023: Magnetic Resonance Imaging
Ling Chen, Tao Li, Yao Li, Jinhuan Zhang, Shuanghong Li, Li Zhu, Jianli Qin, Lifang Tang, Zisan Zeng
PURPOSE: To evaluate the clinical utility of amide proton transfer-weighted imaging (APTw) and arterial spin labeling (ASL) in differentiating solitary brain metastases (SBMs) from glioblastomas (GBMs). METHODS: Forty-eight patients diagnosed with brain tumors were enrolled. All patients underwent conventional MRI, APTw, and ASL scans on a 3.0 T MRI system. The mean APTw value and mean cerebral blood flow (CBF) value were measured. The differences in various parameters between GBMs and SBMs were assessed using the independent-samples t-test...
May 10, 2023: Magnetic Resonance Imaging
Wesley T Richerson, L Tugan Muftuler, Dawn F Wolfgram, Brian D Schmit
To better understand documented cognitive decline in hemodialysis (HD) patients, diffusion MRI (dMRI) has been used to characterize brain anatomical deficits relative to controls. Studies to this point have primarily used diffusion tensor imaging (DTI) to model the three-dimensional diffusion of water in HD patients, with DTI parameters reflecting underlying microstructural changes of brain tissue. Since DTI has some limitations in characterizing tissue microstructure, some of which may be complicated by HD, we explored the use of the mean apparent propagator (MAP) model to describe diffusion in HD patients...
May 5, 2023: Magnetic Resonance Imaging
Hiromasa Takemura, Wei Liu, Hideto Kuribayashi, Toshikazu Miyata, Ikuhiro Kida
Diffusion-weighted magnetic resonance imaging (dMRI) is the only available method to measure the tissue properties of white matter tracts in living human brains and has opened avenues for neuroscientific and clinical studies on human white matter. However, dMRI using conventional simultaneous multi-slice (SMS) single-shot echo planar imaging (ssEPI) still presents challenges in the analyses of some specific white matter tracts, such as the optic nerve, which are heavily affected by susceptibility-induced artifacts...
May 4, 2023: Magnetic Resonance Imaging
Ling Long, Meiling Liu, Xijia Deng, Meimei Cao, Jing Zhang, Xiaosong Lan, Jiuquan Zhang
OBJECTIVES: To prospectively evaluate the value of tomoelastography in determining the underlying origins of uterine adenocarcinoma. METHODS: This prospective work was approved by our institutional review board, and all patients provided informed consent. 64 patients with histopathologically confirmed adenocarcinomas originated either from the cervix (CAC: cervical adenocarcinoma) or endometrium (EAC: endometrial adenocarcinoma) underwent MRI and tomoelastography examination on a 3...
May 3, 2023: Magnetic Resonance Imaging
Elles P Elschot, Walter H Backes, Joost J A de Jong, Gerhard S Drenthen, Sau May Wong, Julie Staals, Alida A Postma, Rob P W Rouhl, Robert J van Oostenbrugge, Jacobus F A Jansen
PURPOSE: Cerebral small vessel disease (cSVD) involves several pathologies affecting the small vessels, including blood-brain barrier (BBB) impairment. Dynamic susceptibility contrast (DSC) MRI is sensitive to both blood perfusion and BBB leakage, and correction methods may be crucial for obtaining reliable perfusion measures. These methods might also be applicable to detect BBB leakage itself. This study investigated to what extent DSC-MRI can measure subtle BBB leakage in a clinical feasibility setting...
May 1, 2023: Magnetic Resonance Imaging
Eduardo C Dornelas, Christiane S Kawassaki, Marcia Olandoski, Carolina de L Bolzon, Ronaldo F de Oliveira, Linei A B D Urban, Iris Rabinovich, Selene Elifio-Esposito
PURPOSE: To develop an ABP-MRI to evaluate response to NAC for invasive breast carcinoma. STUDY TYPE: A single-center, cross-sectional study. SUBJECTS: A consecutive series of 210 women with invasive breast carcinoma who underwent breast MRI after NAC between 2016 and 2020. FIELD STRENGTH/SEQUENCE: 1.5 T / Dynamic contrast-enhanced. ASSESSMENT: MRI scans were independently reevaluated, with access to dynamic contrast-enhanced without contrast and to the first, second, and third post-contrast time (ABP-MRI 1-3)...
May 1, 2023: Magnetic Resonance Imaging
Priyanka Mittal, Anil K Sao, Bharat Biswal
PURPOSE: Several studies in the field of fMRI have reported the synchrony between the brain regions using instantaneous phase (IP) representation (derived from analytic representation of BOLD time series). We hypothesized that instantaneous amplitude (IA) representation from different brain regions might give additional information to the functional brain networks. To validate this, we explored this representation of resting state BOLD fMRI signal for deriving resting state networks (RSNs) and compared it with the IP representation based RSNs...
April 17, 2023: Magnetic Resonance Imaging
Zikuan Chen, Xiulan Zhai, Zeyuan Chen
PURPOSE: We report a new cancer imaging modality in the contrast of tissue intrinsic susceptibility property by computed inverse magnetic resonance imaging (CIMRI). METHODS: In MRI physics, an MRI signal is formed from tissue magnetism source (primarily magnetic susceptibility χ) through a cascade of MRI-introduced transformations (e.g. dipole-convolved magnetization) involving MRI setting parameters (e.g. echo time). In two-step computational inverse mappings (from phase image to internal fieldmap to susceptibility source), we could remove the MRI transformations and imaging parameters, thereby obtaining χ-depicted cancer images (canχ) from MRI phase images...
April 17, 2023: Magnetic Resonance Imaging
Xing Meng, Shifeng Tian, Qinhe Zhang, Lihua Chen, Liangjie Lin, Jin Li, Zhiwei Shen, Jiazheng Wang, Yi Zhang, Qingwei Song, Ailian Liu
PURPOSE: To assess the value of amide proton transfer weighted (APTw) combined with intra-voxel-incoherent-motion (IVIM) imaging in differential diagnosis of stage I-II endometrial carcinoma (EC) and endometrial polyp (EP). METHODS: A total of 53 female patients (37 cases with EC and 16 cases with EP) confirmed by surgical resection or biopsy from June 2019 to Jan. 2022 were retrospectively reviewed. All patients underwent 3.0 T magnetic resonance imaging (MRI) examination including diffusion weighted imaging (DWI), APTw and IVIM scans...
April 11, 2023: Magnetic Resonance Imaging
E H Bhuiyan, M E H Chowdhury, P M Glover
Accurate tracking involuntary head movements is fairly a challenging problem in MR imaging of the brain. Though there are few techniques available to monitor the head movement of the subject for a prospective motion correction, it is still an unsolved problem in MRI. In this theoretical study, we aim to describe an analytical investigation to track head movement inside an MR scanner by calculating the change in induced voltage in the head-mounted coils during the execution of time-varying gradients. We derive an expression to calculate the change in induced voltage in a coil placed in a time-varying gradient...
April 10, 2023: Magnetic Resonance Imaging
Cayden Murray, Olayinka Oladosu, Manish Joshi, Shannon Kolind, Jiwon Oh, Yunyan Zhang
High angular resolution diffusion imaging (HARDI) is a promising method for advanced analysis of brain microstructure. However, comprehensive HARDI analysis requires multiple acquisitions of diffusion images (multi-shell HARDI), which is time consuming and often impractical in clinical settings. This study aimed to establish neural network models that can predict new diffusion datasets from clinically feasible brain diffusion MRI for multi-shell HARDI. The development included 2 algorithms: multi-layer perceptron (MLP) and convolutional neural network (CNN)...
April 7, 2023: Magnetic Resonance Imaging
John Roberts, Seong-Eun Kim, Eugene G Kholmovski, Ying Hitchcock, Tyler John Richards, Yoshimi Anzai
PURPOSE: To evaluate the dependence of the arterial input function (AIF) on the imaging z-axis and its effect on 3D DCE MRI pharmacokinetic parameters as mediated by the SPGR signal equation and Extended Tofts-Kermode model. THEORY: For SPGR-based 3D DCE MRI acquisition of the head and neck, inflow effects within vessels violate the assumptions underlying the SPGR signal model. Errors in the SPGR-based AIF estimate propagate through the Extended Tofts-Kermode model to affect the output pharmacokinetic parameters...
April 6, 2023: Magnetic Resonance Imaging
Maurizio Bergamino, Megan R Nelson, Asfia Numani, Matthew Scarpelli, Deborah Healey, Alberto Fuentes, Gregory Turner, Ashley M Stokes
Alzheimer's disease (AD) has been associated with amyloid and tau pathology, as well as neurodegeneration. Beyond these hallmark features, white matter microstructural abnormalities have been observed using MRI. The objective of this study was to assess grey matter atrophy and white matter microstructural changes in a preclinical mouse model of AD (3xTg-AD) using voxel-based morphometry (VBM) and free-water (FW) diffusion tensor imaging (FW-DTI). Compared to controls, lower grey matter density was observed in the 3xTg-AD model, corresponding to the small clusters in the caudate-putamen, hypothalamus, and cortex...
April 5, 2023: Magnetic Resonance Imaging
Victoria Y Yu, Ricardo Otazo, Can Wu, Ergys Subashi, Manuel Baumann, Peter Koken, Mariya Doneva, Peter Mazurkewitz, Daniel Shasha, Michael Zelefsky, Laura Cervino, Ouri Cohen
MR fingerprinting (MRF) enables fast multiparametric quantitative imaging with a single acquisition and has been shown to improve diagnosis of prostate cancer. However, most prostate MRF studies were performed with spiral acquisitions that are sensitive to B0 inhomogeneities and consequent blurring. In this work, a radial MRF acquisition with a novel subspace reconstruction technique was developed to enable fast T1/T2 mapping in the prostate in under 4 min. The subspace reconstruction exploits the extensive temporal correlations in the MRF dictionary to pre-compute a low dimensional space for the solution and thus reduce the number of radial spokes to accelerate the acquisition...
April 2, 2023: Magnetic Resonance Imaging
Rebecca L Vincelette, Matt P Curran, Shabbar F Danish, William A Grissom
PURPOSE: To understand if unexplained signal artifacts in MRg-LITT proton resonance frequency- (PRF-) shift thermometry images are caused by air bubbles or hemorrhages, and to characterize their effects on temperature measurements. METHODS: Retrospective image data from an IRB-approved clinical trial of intracranial MRg-LITT were inspected for asymmetric distortions observed in phase data during ablations, which have been previously reported as likely hemorrhages...
April 1, 2023: Magnetic Resonance Imaging
Christoph Riedel, Peter Bannas, Alexander Lenz, Harald Ittrich, Daniel Perez, Gerhard Adam, Ansgar W Lohse, Johannes Kluwe, Felix Piecha
Portal hypertension is the underlying reason for complications like ascites or gastrointestinal varices in end-stage liver disease. On rare occasions, portal hypertension may be caused by extrahepatic arterioportal shunts. This report illustrates an outstanding case of extrahepatic arterioportal shunting as an uncommon cause of TIPS-refractory portal hypertension. Four-dimensional flow magnetic resonance imaging (4D flow MRI) is a novel non-invasive technique that enables the visualization of complex vascular disorders but has not been put into daily clinical practice in hepatology...
April 1, 2023: Magnetic Resonance Imaging
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