Elliot McVeigh

Last updated
Elliot R. McVeigh
Elliot McVeigh.jpg
Born (1960-03-01) March 1, 1960 (age 64)[ citation needed ]
Citizenship American
Alma mater University of Toronto
Scientific career
Fields Bioinformatics
Medical imaging
Institutions University of California, San Diego
Johns Hopkins University
University of Toronto
Thesis  (1988)
Doctoral advisor Michael Bronskill Ph.D
Website cvil.ucsd.edu

Elliot R. McVeigh is a professor of bioengineering, Medicine and Radiology at the University of California, San Diego (UCSD). His research utilises low dose CT imaging and MR imaging techniques to identify those people at substantially higher risk for heart attacks.

Contents

Education

McVeigh earned a BSc in physics in 1984 and a PhD in medical biophysics in 1988 at the University of Toronto. [1]

Career

In 2007 he returned to Johns Hopkins to become the director of the Department of Biomedical Engineering. During his 8-year tenure as chair the department grew substantially and was continuously ranked #1 in the nation for both undergraduate and graduate training by U.S. News & World Report. [2] He also led the development of a new Master's program for medical device design through the establishment of the Center of Biomedical Innovation and Design in the department.

In 2015, he was hired by University of California, San Diego with a joint appointment in the school of engineering and the school of medicine. He is part of the Altman Clinical and Translational Research Institute (ACTRI) built by UC San Diego in La Jolla. [3] In the Cardiovascular Imaging Lab (CViL) at UCSD, McVeigh and his team work with engineers and clinicians to develop low dose CT imaging and MR imaging techniques that will identify those people at substantially higher risk for heart attacks.

Activities and Honors

Selected publications

Pourmorteza K, Schuleri D, Herzka AL, McVeigh E (2012). "A New Method for Cardiac Computed Tomography Regional Function Assessment: Stretch Quantifier for Endocardial Engraved Zones (SQUEEZ)". Circulation: Cardiovascular Imaging. 5 (2): 243–250. doi: 10.1161/CIRCIMAGING.111.970061 . PMC   7720848 . PMID   22342945.

Kellman P, Epstein FH, McVeigh ER (2001). "Adaptive sensitivity encoding incorporating temporal filtering (TSENSE)". Magnetic Resonance in Medicine. 45 (5): 846–52. doi: 10.1002/mrm.1113 . PMID   11323811. S2CID   25651304.

Prinzen FW, Hunter WC, Wyman BT, McVeigh ER (1999). "Mapping of regional myocardial strain and work during ventricular pacing: experimental study using magnetic resonance imaging tagging". Journal of the American College of Cardiology. 33 (6): 846–52. doi:10.1016/s0735-1097(99)00068-6. PMC   2041911 . PMID   10334450.

Lederman RJ, Guttman MA, Peters DC, Thompson RB, Sorger JM, Dick AJ, Raman VK, McVeigh ER (1999). "Catheter-based endomyocardial injection with real-time magnetic resonance imaging". Circulation. 105 (11): 1282–4. doi:10.1161/circ.105.11.1282. PMC   1317571 . PMID   11901036.

McVeigh ER, Guttman MA, Lederman RJ, Li M, Kocaturk O, Hunt T, Kozlov S, Horvath KA (2006). "Real-time interactive MRI-guided cardiac surgery: Aortic valve replacement using a direct apical approach". Magnetic Resonance in Medicine. 56 (5): 958–964. doi:10.1002/mrm.21044. PMC   1963465 . PMID   17036300.

Related Research Articles

<span class="mw-page-title-main">Magnetic resonance imaging</span> Medical imaging technique

Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes inside the body. MRI scanners use strong magnetic fields, magnetic field gradients, and radio waves to generate images of the organs in the body. MRI does not involve X-rays or the use of ionizing radiation, which distinguishes it from computed tomography (CT) and positron emission tomography (PET) scans. MRI is a medical application of nuclear magnetic resonance (NMR) which can also be used for imaging in other NMR applications, such as NMR spectroscopy.

<span class="mw-page-title-main">Left ventricular hypertrophy</span> Medical condition

Left ventricular hypertrophy (LVH) is thickening of the heart muscle of the left ventricle of the heart, that is, left-sided ventricular hypertrophy and resulting increased left ventricular mass.

Graham Wiggins was an American musician and scientist. He played the didgeridoo, keyboards, melodica, sampler, and various percussion instruments with his groups, the Oxford-based Outback and Dr. Didg. He also developed new technologies for magnetic resonance imaging (MRI).

<span class="mw-page-title-main">Magnetic resonance microscopy</span>

Magnetic resonance microscopy is magnetic resonance imaging (MRI) at a microscopic level down to the scale of microns. The first definition of MRM was MRI having voxel resolutions of better than 100 μm.

<span class="mw-page-title-main">Biological engineering</span> Application of biology and engineering to create useful products

Biological engineering or bioengineering is the application of principles of biology and the tools of engineering to create usable, tangible, economically viable products. Biological engineering employs knowledge and expertise from a number of pure and applied sciences, such as mass and heat transfer, kinetics, biocatalysts, biomechanics, bioinformatics, separation and purification processes, bioreactor design, surface science, fluid mechanics, thermodynamics, and polymer science. It is used in the design of medical devices, diagnostic equipment, biocompatible materials, renewable energy, ecological engineering, agricultural engineering, process engineering and catalysis, and other areas that improve the living standards of societies.

<span class="mw-page-title-main">Cardiac magnetic resonance imaging</span> Biomedical imaging technology

Cardiac magnetic resonance imaging, also known as cardiovascular MRI, is a magnetic resonance imaging (MRI) technology used for non-invasive assessment of the function and structure of the cardiovascular system. Conditions in which it is performed include congenital heart disease, cardiomyopathies and valvular heart disease, diseases of the aorta such as dissection, aneurysm and coarctation, coronary heart disease. It can also be used to look at pulmonary veins.

Neurophysics is the branch of biophysics dealing with the development and use of physical methods to gain information about the nervous system. Neurophysics is an interdisciplinary science using physics and combining it with other neurosciences to better understand neural processes. The methods used include the techniques of experimental biophysics and other physical measurements such as EEG mostly to study electrical, mechanical or fluidic properties, as well as theoretical and computational approaches. The term "neurophysics" is a portmanteau of "neuron" and "physics".

<span class="mw-page-title-main">Real-time MRI</span> Type of MRI

Real-time magnetic resonance imaging (RT-MRI) refers to the continuous monitoring of moving objects in real time. Traditionally, real-time MRI was possible only with low image quality or low temporal resolution. An iterative reconstruction algorithm removed limitations. Radial FLASH MRI (real-time) yields a temporal resolution of 20 to 30 milliseconds for images with an in-plane resolution of 1.5 to 2.0 mm. Real-time MRI adds information about diseases of the joints and the heart. In many cases MRI examinations become easier and more comfortable for patients, especially for the patients who cannot calm their breathing or who have arrhythmia.

<span class="mw-page-title-main">Magnetic resonance imaging of the brain</span>

Magnetic resonance imaging of the brain uses magnetic resonance imaging (MRI) to produce high quality two-dimensional or three-dimensional images of the brain and brainstem as well as the cerebellum without the use of ionizing radiation (X-rays) or radioactive tracers.

Christopher J. Hardy is an American physicist and inventor of several magnetic resonance imaging (MRI) subsystem technologies for use in real time MRI and cardiac MR imaging and spectroscopy.

Harmonic phase (HARP) algorithm is a medical image analysis technique capable of extracting and processing motion information from tagged magnetic resonance image (MRI) sequences. It was initially developed by N. F. Osman and J. L. Prince at the Image Analysis and Communications Laboratory at Johns Hopkins University. The method uses spectral peaks in the Fourier domain of tagged MRI, calculating the phase images of their inverse Fourier transforms, which are called harmonic phase (HARP) images. The motion of material points through time is then tracked, under the assumption that the HARP value of a fixed material point is time-invariant. The method is fast and accurate, and has been accepted as one of the most popular tagged MRI analysis methods in medical image processing.

<span class="mw-page-title-main">Roderic I. Pettigrew</span> American medical imaging scientist and physician

Roderic Ivan Pettigrew is an American physicist, engineer, and physician who is CEO of EnHealth and Executive Dean for EnMed at Texas A&M University. From 2002-November 2017, he was the founding director of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) at the National Institutes of Health (NIH). He is a pioneer and world expert in cardiovascular magnetic resonance imaging (MRI).

<span class="mw-page-title-main">Johns Hopkins University Department of Biomedical Engineering</span>

The Johns Hopkins University Department of Biomedical Engineering has both undergraduate and graduate biomedical engineering programs located at the Johns Hopkins University in Baltimore, Maryland.

Jin Zhang is a Chinese-American biochemist. She is a professor of pharmacology, chemistry and biochemistry, and biomedical engineering at the University of California, San Diego.

<span class="mw-page-title-main">Katherine Ferrara</span> American engineer

Katherine Whittaker Ferrara is an American engineer who is a professor of radiology at Stanford University. Ferrara has been elected a Fellow of the American Association for the Advancement of Science, Institute of Electrical and Electronics Engineers and American Institute for Medical and Biological Engineering.

<span class="mw-page-title-main">Rolf Gruetter</span> Swiss physicist specialized in magnetic resonance

Rolf Gruetter is a Swiss physicist and neurobiologist specialized in magnetic resonance, biomedical imaging and brain metabolism. He is a professor of physics at EPFL and the head of the Laboratory Functional and Metabolic Imaging at the School of Basic Sciences.

Daniel Kevin Sodickson is an American physicist and an expert in the field of biomedical imaging. A past president and gold medalist of the International Society for Magnetic Resonance in Medicine, he is credited with foundational work in parallel magnetic resonance imaging (MRI), in which distributed arrays of detectors are used to gather magnetic resonance images at previously inaccessible speeds. Sodickson is an elected Fellow of the US National Academy of Inventors. He currently serves as Vice-Chair for Research in the Department of Radiology at New York University (NYU) Grossman School of Medicine, as Director of the department's Bernard and Irene Schwartz Center for Biomedical Imaging, as Principal Investigator of the Center for Advanced Imaging Innovation and Research, and as Co-Director of NYU's Tech4Health Institute.

<span class="mw-page-title-main">Karla Miller</span> American neuroscientist and academic

Karla Loreen Miller is an American neuroscientist and professor of biomedical engineering at the University of Oxford. Her research investigates the development of neuroimaging techniques, with a particular focus on Magnetic Resonance Imaging (MRI), neuroimaging, diffusion MRI and functional magnetic resonance imaging. She was elected a Fellow of the International Society for Magnetic Resonance in Medicine in 2016.

Magnetic resonance fingerprinting (MRF) is methodology in quantitative magnetic resonance imaging (MRI) characterized by a pseudo-randomized acquisition strategy. It involves creating unique signal patterns or 'fingerprints' for different materials or tissues after which a pattern recognition algorithm matches these fingerprints with a predefined dictionary of expected signal patterns. This process translates the data into quantitative maps, revealing information about the magnetic properties being investigated.

<span class="mw-page-title-main">Amir Amini (academic)</span> Professor and Endowed

Amir Amini is the professor and endowed chair in bioimaging at the University of Louisville. Prior to this, he was the founder of the Cardiovascular Image Analysis Laboratory and associate professor at the Washington University in St. Louis. He was elected a fellow of the IEEE in 2007, the College of Fellows of the American Institute of Medical and Biological Engineering in 2017, the International Society for Optics, Photonics, and Imaging in 2019, the Asia-Pacific Artificial Intelligence Association in 2021, and the International Academy of Medical and Biological Engineering in 2024.

References