A5027178832- Advanced MRI Techniques and Applications
- Lanthanide and Transition Metal Complexes
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Electron Spin Resonance Studies
- Nanoplatforms for cancer theranostics
- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Nanoparticle-Based Drug Delivery
- Ultrasound and Hyperthermia Applications
- Cardiac Arrhythmias and Treatments
- Molecular Biology Techniques and Applications
- Advanced NMR Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Advanced Neuroimaging Techniques and Applications
- Cancer Research and Treatments
- Context-Aware Activity Recognition Systems
- Virus-based gene therapy research
- Gait Recognition and Analysis
- Balance, Gait, and Falls Prevention
- Machine Learning in Materials Science
- RNA Interference and Gene Delivery
- Advanced X-ray and CT Imaging
- Glioma Diagnosis and Treatment
Tel Aviv University
2022-2025
Athinoula A. Martinos Center for Biomedical Imaging
2019-2024
Harvard University
2019-2024
Massachusetts General Hospital
2019-2024
Johns Hopkins University
2024
Memorial Sloan Kettering Cancer Center
2021-2024
Kennedy Krieger Institute
2024
Rush University Medical Center
2024
Tel Aviv Sourasky Medical Center
2024
Technion – Israel Institute of Technology
2015-2020
Abstract Cancer stem cells, also termed tumor initiating cells (TICs), are a rare population of within the mass which initiate growth and metastasis. In pancreatic cancer, TICs significantly contribute to re-growth after therapy, due their intrinsic resistance. Here we demonstrate that copper oxide nanoparticles (CuO-NPs) cytotoxic against TIC-enriched PANC1 human cancer cell cultures. Specifically, treatment with CuO-NPs decreases viability increases apoptosis in cultures greater extent...
Background Wrist-worn inertial sensors are used in digital health for evaluating mobility real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, detection is an important step to identify regions interest where occurs, which requires robust algorithms due complexity arm movements. While exist other sensor positions, a comparative validation applied wrist position on data sets across different disease populations missing. Furthermore,...
Multimodal medical imaging is gaining increased popularity in the clinic. This stems from fact that data acquired different physical phenomena may provide complementary information resulting a more comprehensive picture of pathological state. In this context, nano-sized contrast agents augment potential sensitivity each modality and allow targeted visualization physiological points interest (e.g. tumours). study, 7 nm copper oxide nanoparticles (CuO NPs) were synthesized characterized. Then,...
Purpose As the field of CEST grows, various novel preparation periods using different parameters are being introduced. At same time, large, multisite clinical studies require clearly defined protocols, especially across vendors. Here, we propose a definition standard open Pulseq format for shareable, simple, and exact protocols. Methods We present benefits such in three ways: (1) an database on GitHub, where fully defined, human‐readable protocols can be shared; (2) open‐source...
Purpose: To develop an automated machine-learning-based method for the discovery of rapid and quantitative chemical exchange saturation transfer (CEST) MR fingerprinting acquisition reconstruction protocols. Methods: An physics governed AI system was trained to generate optimized schedules corresponding neural-network. The (termed AutoCEST) is composed a CEST block, spin dynamics module, deep network, all differentiable jointly connected. validated using variety phantoms in-vivo mouse brain...
Purpose To develop a clinical CEST MR fingerprinting (CEST‐MRF) method for brain tumor quantification using EPI acquisition and deep learning reconstruction. Methods A CEST‐MRF pulse sequence originally designed animal imaging was modified to conform hardware limits on scanners while keeping scan time under 2 min. Quantitative MRF reconstruction performed network (DRONE) yield the water relaxation chemical exchange parameters. The feasibility of six parameter DRONE tested in simulations...
Purpose: To understand the influence of various acquisition parameters on ability CEST MR-Fingerprinting (MRF) to discriminate different chemical exchange and provide tools for optimal schedule design parameter map reconstruction. Methods: Numerical simulations were conducted using a parallel-computing implementation Bloch-McConnell equations, examining effect TR, TE, flip-angle, water T$_{1}$ T$_{2}$, saturation-pulse duration, power, frequency discrimination CEST-MRF. A modified...
Here we develop a mechanism of protein optimization using computational approach known as "genetic programming". We developed an algorithm called Protein Optimization Engineering Tool (POET). Starting from small library literature values, the use this tool allowed us to proteins that produce four times more MRI contrast than what was previously state-of-the-art. Interestingly, many peptides produced POET were dramatically different with respect their sequence and chemical environment...
Purpose To substantially shorten the acquisition time required for quantitative three‐dimensional (3D) chemical exchange saturation transfer (CEST) and semisolid magnetization (MT) imaging allow rapid parameter map reconstruction. Methods Three‐dimensional CEST MT magnetic resonance fingerprinting (MRF) datasets of L‐arginine phantoms, whole‐brains, calf muscles from healthy volunteers, cancer patients, cardiac patients were acquired using 3T clinical scanners at three different sites,...
Specific supraventricular tachycardia (SVT) classification using surface ECG is considered a challenging task, since the atrial electrical activity (AEA) waves, which are crucial element for obtaining diagnosis, frequently hidden. In this paper, we present fully automated SVT method that embeds our recently developed hidden AEA detector in clinically based tree scheme. The process begins with initial noise removal and QRS detection. Then, ventricular features extracted. According to these...
Abstract Reporter gene imaging allows for non-invasive monitoring of molecular processes in living cells, providing insights on the mechanisms underlying pathology and therapy. A lysine-rich protein (LRP) chemical exchange saturation transfer (CEST) MRI reporter has previously been developed used to image tumor cardiac viral transfer, oncolytic virotherapy. However, highly repetitive nature LRP sequence leads DNA recombination events expression a range truncated fragments, thereby greatly...
Abstract Deep learning-based saturation-transfer magnetic resonance fingerprinting (MRF) is an emerging approach for noninvasive in vivo imaging of proteins, metabolites, and pH. It involves a series steps, including (i) sample/subject preparation, (ii) image acquisition schedule design, (iii) biophysical model formulation, (iv) artificial intelligence (AI) computational training, followed by (v) acquisition, (vi) deep reconstruction, (vii) analysis. The saturation-transfer-based molecular...
Bimetallic nanostructures can be attractive contrast-enhancing materials for dual modal imaging, allowing improved diagnosis ability using two different physical phenomena, following administration of a single nanoagent. In this research, the potential biocompatible polydopamine (PDA) was explored as binding matrix to produce CuO NPs embedded in PDA (CuO@PDA nanocomposite). then tested reducing agent both and HAuCl4 yield composite with gold nanoparticles copper species, readily available...
Model-driven analysis of biophysical phenomena is gaining increased attention and utility for medical imaging applications. In magnetic resonance (MRI), the availability well-established models describing relations between nuclear magnetization, tissue properties, externally applied fields has enabled prediction image contrast served as a powerful tool designing protocols that are now routinely used in clinic. Recently, various advanced techniques have relied on these reconstruction,...
Copper oxide nanoparticles (CuO-NPs) are increasingly becoming the subject of investigation exploring their potential use for diagnostic and therapeutic purposes. Recent work has demonstrated anticancer potential, as well contrast agent capabilities magnetic resonance imaging (MRI) through-transmission ultrasound. However, no capability CuO-NPs been using conventional ultrasound systems, which, unlike former, widely deployed in clinic. Furthermore, spite multifunctional nano-based materials...
ECG analysis is the method for cardiac arrhythmia diagnosis. During diagnostic process many features should be taken into consideration, such as regularity and atrial activity. Since in some arrhythmias, electrical activity (AEA) waves are hidden other waves, a precise classification from surface inapplicable, confirmation diagnosis usually performed during an invasive procedure. In this paper, we study "semiautomatic" AEA-waves detection using linear combination of 12-lead signals. This...