A5005898060- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Knee injuries and reconstruction techniques
- Total Knee Arthroplasty Outcomes
- Radiomics and Machine Learning in Medical Imaging
- Lanthanide and Transition Metal Complexes
- Cardiovascular Function and Risk Factors
- Lower Extremity Biomechanics and Pathologies
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Optical Coherence Tomography Applications
- Musculoskeletal synovial abnormalities and treatments
- Nuclear Physics and Applications
- Nutrition and Health in Aging
- Bone and Joint Diseases
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
- Retinal Imaging and Analysis
- Advanced Neuroimaging Techniques and Applications
- Osteoarthritis Treatment and Mechanisms
- AI in cancer detection
- Body Composition Measurement Techniques
- Advanced Fluorescence Microscopy Techniques
Cleveland Clinic Lerner College of Medicine
2020-2025
Cleveland Clinic
2019-2025
Vanderbilt University Medical Center
2022-2023
The Ohio State University
2022-2023
Imaging Center
2022
Case Western Reserve University
2014-2021
University School
2019
University Hospitals Cleveland Medical Center
2018
Bellingham Technical College
2015
University of Amsterdam
1991-2008
Purpose: Aims in this study are to (1) develop a computational model observer which reliably tracks the detectability of human observers low dose computed tomography (CT) images reconstructed with knowledge‐based iterative reconstruction (IMR™, Philips Healthcare) and filtered back projection (FBP) across range independent variables, (2) use evaluate trends reconstructions make predictions detectability, (3) perform studies based on demonstrate applications CT imaging. Methods: Detectability...
This study introduces a technique called cine magnetic resonance fingerprinting (cine‐MRF) for simultaneous T 1 , 2 and ejection fraction (EF) quantification. Data acquired with free‐running MRF sequence are retrospectively sorted into different cardiac phases using an external electrocardiogram (ECG) signal. A low‐rank reconstruction finite difference sparsity constraint along the motion dimension yields images resolved by phase. To improve SNR precision in parameter maps, these nonrigidly...
Background: Magnetic resonance fingerprinting (MRF) is a rapid imaging technique for simultaneous mapping of multiple tissue properties such as T1 and T2 relaxation times. However, conventional pattern matching reconstruction iterative low rank methods may not take full advantage the spatiotemporal content MRF data can require significant computational resources with long Deep learning using three-dimensional (3D) convolutional neural network (CNN)-based method enable high-quality,...
Purpose This work aims to develop an approach for simultaneous water–fat separation and myocardial T 1 2 quantification based on the cardiac MR fingerprinting (cMRF) framework with rosette trajectories at 3T 1.5T. Methods Two 15‐heartbeat cMRF sequences different designed 1.5T were implemented. Water maps, water image, fat image generated B 0 inhomogeneity correction using a map derived from data themselves. The proposed was validated in International Society Magnetic Resonance...
Purpose Fast and accurate thigh muscle segmentation from MRI is important for quantitative assessment of morphology composition. A novel deep learning (DL) based surrounding tissues model was developed fully automatic reproducible cross‐sectional area (CSA) fat fraction (FF) quantification tested in patients at 10 years after anterior cruciate ligament reconstructions. Methods DL combining UNet DenseNet trained using manually segmented thighs 16 (32 legs). Segmentation accuracy evaluated...
We optimized and evaluated dynamic myocardial CT perfusion (CTP) imaging on a prototype spectral detector (SDCT) scanner. Simultaneous acquisition of energy sensitive projections the SDCT system enabled projection-based material decomposition, which typically performs better than image-based decomposition required by some other designs. In addition to virtual monoenergetic, or keV images, provided conventional (kVp) allowing us compare contrast results. Physical phantom measurements...
Abstract: Numerous methods for artifact quantification in computed tomography (CT) imaging have been suggested. This study evaluated their utility with regards to correspondence visual perception and reproducibility. Two titanium rods (5 10 mm) were examined 25 different scanning- image-reconstruction parameters resulting types extents of artifacts. Four radiologists every image against each other using an in-house developed software. Rating was repeated two times (2,400 comparisons = 2 × 4...
Myelin pathology is present in many neurological conditions such as multiple sclerosis (MS) and traumatic spinal cord injury (SCI). To facilitate development of novel therapies aimed at myelin repair, we set out to develop imaging agents that permit direct quantification myelination vivo. In this work, designed synthesized a series fluorescent fluorinated can be used for vivo positron emission tomography (PET) combined with subsequent post-mortem cryoimaging. Structure–activity relationship...
Myelin is the protective sheath that surrounds nerves in vertebrates to protect axons, which thereby facilitates impulse conduction. Damage myelin associated with many neurodegenerative diseases such as multiple sclerosis and also includes spinal cord injury (SCI). The small size of poses formidable challenges vivo monitoring myelination, we investigated via conducting a structure–activity relationship study determine optimum positron-emitting agent use for imaging using positron emission...
Background Radiomic descriptors from magnetic resonance imaging (MRI) are promising for disease diagnosis and characterization but may be sensitive to differences in parameters. Objective To evaluate the repeatability robustness of radiomic within healthy brain tissue regions on prospectively acquired MRI scans; a test–retest setting, under controlled systematic variations acquisition parameters, after postprocessing. Study Type Prospective. Subjects Fifteen participants. Field...
Myocardial CT perfusion (CTP) imaging is an application that should greatly benefit from spectral through the significant reduction of beam hardening (BH) artifacts using mono-energetic (monoE) image reconstructions. We used a prototype detector (SDCT) scanner (Philips Healthcare) and developed advanced processing tools (registration, segmentation, deconvolution-based flow estimation) for quantitative myocardial CTP in porcine ischemia model with different degrees coronary occlusion balloon...