A5059623222- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Lanthanide and Transition Metal Complexes
- Glioma Diagnosis and Treatment
- Fetal and Pediatric Neurological Disorders
- Cardiac Imaging and Diagnostics
- Atomic and Subatomic Physics Research
- Advanced NMR Techniques and Applications
- Epilepsy research and treatment
- NMR spectroscopy and applications
- Brain Tumor Detection and Classification
- RFID technology advancements
- Electron Spin Resonance Studies
- Genetic and Kidney Cyst Diseases
- Sparse and Compressive Sensing Techniques
- Medical Image Segmentation Techniques
- Functional Brain Connectivity Studies
- Neonatal and fetal brain pathology
- RNA Research and Splicing
- Ultrasound Imaging and Elastography
- Indoor and Outdoor Localization Technologies
- Ultrasound and Hyperthermia Applications
Case Western Reserve University
2015-2024
University Hospitals of Cleveland
2015-2024
Case Comprehensive Cancer Center
2022
University Hospitals Seidman Cancer Center
2022
Cleveland Clinic
2020
University School
2019
Xi'an Jiaotong University
2013-2018
University Hospitals Cleveland Medical Center
2014-2017
Marquette University
2010-2012
Purpose This study explores the possibility of using gradient echo-based sequences other than balanced steady-state free precession (bSSFP) in magnetic resonance fingerprinting (MRF) framework to quantify relaxation parameters . Methods An MRF method based on a fast imaging with (FISP) sequence structure is presented. A dictionary containing possible signal evolutions physiological range T1 and T2 was created extended phase graph formalism according acquisition parameters. The proposed...
Magnetic resonance fingerprinting is a technique for acquiring and processing MR data that simultaneously provides quantitative maps of different tissue parameters through pattern recognition algorithm.A predefined dictionary models the possible signal evolutions simulated using Bloch equations with combinations various completed by computing inner product between observed each predicted signals within dictionary.Though this matching algorithm has been shown to accurately predict interest,...
Purpose To introduce a two-dimensional MR fingerprinting (MRF) technique for quantification of T1, T2, and M0 in myocardium. Methods An electrocardiograph-triggered MRF method is introduced mapping myocardial during single breath-hold as short four heartbeats. The pulse sequence uses variable flip angles, repetition times, inversion recovery T2 preparation dephasing times. A dictionary possible signal evolutions simulated each scan that incorporates the subject's unique variations heart...
To develop a magnetic resonance (MR) "fingerprinting" technique for quantitative abdominal imaging.This HIPAA-compliant study had institutional review board approval, and informed consent was obtained from all subjects. achieve accurate quantification in the presence of marked B0 B1 field inhomogeneities, MR fingerprinting framework extended by using two-dimensional fast imaging with steady-state free precession, or FISP, acquisition Bloch-Siegert mapping method. The accuracy proposed...
This article introduces a constrained imaging method based on low-rank and subspace modeling to improve the accuracy speed of MR fingerprinting (MRF).A new model-based is developed for MRF reconstruct high-quality time-series images accurate tissue parameter maps (e.g., T1 , T2 spin density maps). Specifically, proposed exploits approximations images, further enforces temporal constraints capture magnetization dynamics. allows image reconstruction problem be formulated as simple linear...
<h3>BACKGROUND AND PURPOSE:</h3> MR fingerprinting allows rapid simultaneous quantification of T1 and T2 relaxation times. This study assessed the utility in differentiating common types adult intra-axial brain tumors. <h3>MATERIALS METHODS:</h3> acquisition was performed 31 patients with untreated tumors: 17 glioblastomas, 6 World Health Organization grade II lower gliomas, 8 metastases. T1, solid tumor, immediate peritumoral white matter, contralateral matter were summarized within each...
Purpose The goal of this study is to characterize and improve the accuracy 2D magnetic resonance fingerprinting (MRF) scans in presence slice profile (SP) B 1 imperfections, which are two main factors that affect quantitative results MRF. Methods SP imperfections characterized corrected separately. effect by simulating radiofrequency pulse dictionary, acquiring a map using Bloch‐Siegert method before each scan. accuracy, precision, repeatability proposed evaluated phantom studies. effects...
The purpose of this study was to accelerate the acquisition and reconstruction time 3D magnetic resonance fingerprinting scans.
Purpose The purpose of this study was to evaluate accuracy and repeatability T 1 2 estimates a MR fingerprinting (MRF) method using the ISMRM/NIST MRI system phantom. Methods phantom contains multiple compartments with standardized , proton density values. Conventional inversion‐recovery spin echo methods were used characterize values in scanned MRF‐FISP over 34 consecutive days. mean compared from methods. characterized as coefficient variation measurements Results days showed strong linear...
Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which simultaneously acquires multiple MR tissue parameter maps in single experiment. In this paper, we present an estimation-theoretic framework to perform experiment design for fingerprinting. Specifically, describe discrete-time dynamic system model spin dynamics, and derive bound, i.e., the Cramér-Rao characterize signal-to-noise ratio (SNR) efficiency of We then formulate optimal problem, determines sequence...
Purpose MR fingerprinting (MRF) is a technique for quantitative tissue mapping using pseudorandom measurements. To estimate properties such as T 1 , 2 proton density, and B 0 the rapidly acquired data are compared against large dictionary of Bloch simulations. This matching process can be very computationally demanding portion MRF reconstruction. Theory Methods We introduce fast group algorithm (GRM) that exploits inherent correlation within dictionaries to create highly clustered groupings...
Goal: The accurate automatic detection of epileptic seizures is very important in long-term electroencephalogram (EEG) recordings. In this study, the wavelet decomposition and directed transfer function (DTF) algorithm were combined to present a novel wavelet-based (WDTF) method for patient-specific seizure detection. Methods: First, five subbands extracted from 19-channel EEG signals by using sliding window. Second, information flow characteristics full frequency band calculated DTF method....
Purpose To reduce the acquisition time needed to obtain reliable parametric maps with Magnetic Resonance Fingerprinting. Methods An iterative‐denoising algorithm is initialized by reconstructing MRF image series at low resolution. For subsequent iterations, method enforces pixel‐wise fidelity best‐matching dictionary template then acquired data slightly higher spatial After convergence, desirable resolution are obtained through matching of final series. The proposed was evaluated on phantom...
Background Only sparse literature investigates the reproducibility and repeatability of relaxometry methods in MRI. However, statistical data on any quantitative method is essential for clinical application. Purpose To evaluate two-dimensional fast imaging with steady-state free precession MR fingerprinting vivo human brains. Materials Methods Two-dimensional section-selective based a sequence an external radiofrequency transmit field, or B1+, correction was used to generate T1 T2 maps. This...
Background Conventional MRI can be limited in detecting subtle epileptic lesions or identifying active/epileptic among widespread, multifocal lesions. Purpose We developed a high‐resolution 3D MR fingerprinting (MRF) protocol to simultaneously provide quantitative T 1 , 2 proton density, and tissue fraction maps for detection characterization of Study type Prospective. Population National Institute Standards Technology (NIST) / International Society Magnetic Resonance Medicine (ISMRM)...
Abstract A promising approach for the simultaneous quantification of relative proton density ( M 0 ), T 1 , and 2 is inversion‐recovery TrueFISP sequence, consisting an inversion pulse followed by a series balanced steady‐state free precession acquisitions. Parameters can then be obtained from mono‐exponential fit to images. However, segmented acquisition usually necessary, which increases total time considerably. The goal this study obtain maps using single‐shot acquisition, with...
Magnetic resonance fingerprinting (MRF) is an imaging tool that produces multiple magnetic parametric maps from a single scan. Herein we describe the normal range and progression of MRF-derived relaxometry values with age in healthy individuals. In total, 56 volunteers (24 men 32 women) aged 11–71 years were scanned. Regions interest drawn on T1 T2 38 areas, including lobar deep white matter (WM), gray nuclei, thalami, posterior fossa structures. Relaxometry differences assessed using...
Device-free based object tracking provides a promising solution for many localization and systems to monitor non-cooperative objects which do not carry any transceiver such as intruders. However, existing device-free solutions mainly use sensors active RFID tags, are much more expensive compared passive tags. In this paper, we propose novel motion detection method using named Twins. The leverages phenomenon called critical state caused by interference among We theoretically explain via an...
Purpose To develop a fast three-dimensional method for simultaneous T1 and T2 quantification breast imaging by using MR fingerprinting. Materials Methods In this prospective study, variable flip angles magnetization preparation modules were applied to acquire fingerprinting data each partition of set. A postprocessing was implemented singular value decomposition. The proposed technique first validated in phantoms then 15 healthy female participants (mean age, 24.2 years ± 5.1 [standard...