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Dive into the research topics where Ian C. Atkinson is active.

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Featured researches published by Ian C. Atkinson.


NeuroImage | 2010

Feasibility of mapping the tissue mass corrected bioscale of cerebral metabolic rate of oxygen consumption using 17-oxygen and 23-sodium MR imaging in a human brain at 9.4 T.

Ian C. Atkinson; Keith R. Thulborn

The reduction of molecular oxygen to water is the final step of oxidative phosphorylation that couples adenosine triphosphate production to the reoxidation of reducing equivalents formed during the oxidation of glucose to carbon dioxide. This coupling makes the cerebral metabolic rate of oxygen consumption (CMRO(2)) an excellent reflection of the metabolic health of the brain. A multi-nuclear magnetic resonance (MR) imaging based method for CMRO(2) mapping is proposed. Oxygen consumption is determined by applying a new three-phase metabolic model for water generation and clearance to the changing 17-oxygen ((17)O) labeled water MR signal measured using quantitative (17)O MR imaging during inhalation of (17)O-enriched oxygen gas. These CMRO(2) data are corrected for the regional brain tissue mass computed from quantitative 23-sodium MR imaging of endogenous tissue sodium ions to derive quantitative results of oxygen consumption in micromoles O(2)/g tissue/minute that agree with literature results reported from positron emission tomography. The proposed technique is demonstrated in the human brain using a 9.4 T MR scanner optimized for human brain imaging.


Magnetic Resonance in Medicine | 2010

Quantitative sodium imaging with a flexible twisted projection pulse sequence

Aiming Lu; Ian C. Atkinson; Theodore C. Claiborne; Frederick C. Damen; Keith R. Thulborn

The quantification of sodium MR images from an arbitrary intensity scale into a bioscale fosters image interpretation in terms of the spatially resolved biochemical process of sodium ion homeostasis. A methodology for quantifying tissue sodium concentration using a flexible twisted projection imaging sequence is proposed that allows for optimization of tradeoffs between readout time, signal‐to‐noise ratio efficiency, and sensitivity to static field susceptibility artifacts. The gradient amplitude supported by the slew rate at each k‐space radius regularizes the readout gradient waveform design to avoid slew rate violation. Static field inhomogeneity artifacts are corrected using a frequency‐segmented conjugate phase reconstruction approach, with field maps obtained quickly from coregistered proton imaging. High‐quality quantitative sodium images have been achieved in phantom and volunteer studies with real isotropic spatial resolution of 7.5 × 7.5 × 7.5 mm3 for the slow T2 component in ∼8 min on a clinical 3‐T scanner. After correcting for coil sensitivity inhomogeneity and water fraction, the tissue sodium concentration in gray matter and white matter was measured to be 36.6 ± 0.6 μmol/g wet weight and 27.6 ± 1.2 μmol/g wet weight, respectively. Magn Reson Med 63:1583–1593, 2010.


Journal of Magnetic Resonance Imaging | 2007

Safety of human MRI at static fields above the FDA 8T guideline: Sodium imaging at 9.4T does not affect vital signs or cognitive ability

Ian C. Atkinson; Laura Renteria; Holly Burd; Neil Pliskin; Keith R. Thulborn

To assess whether exposure to a 9.4T static magnetic field during sodium imaging at 105.92 MHz affects human vital signs and cognitive function.


international geoscience and remote sensing symposium | 2003

Wavelet-based hyperspectral image estimation

Ian C. Atkinson; Farzad Kamalabadi; Douglas L. Jones

In this paper, we present a novel DFT- and wavelet-based estimation scheme for hyperspectral imagery. Optimal hyperspectral image estimation relies on the ability to decorrelate the signal in both space and channel at the cost of requiring second-order signal statistics. This statistical requirement is removed by the proposed estimator, which approximately decorrelates the signal in space using a 2D discrete wavelet transform and in channel using a discrete Fourier transform. In addition to allowing extremely efficient estimation, the proposed estimator vastly improves visual quality and yields typical signal-to-noise ratio gains of over 14 dB.


Magnetic Resonance in Medicine | 2009

Characterization and correction of system delays and eddy currents for MR imaging with ultrashort echo‐time and time‐varying gradients

Ian C. Atkinson; Aiming Lu; Keith R. Thulborn

Reconstruction of high‐quality MR images requires precise knowledge of the dynamic gradient magnetic fields used to perform spatial encoding. System delays and eddy currents can perturb the gradient fields in both time and space and significantly degrade the image quality for acquisitions with an ultrashort echo time or with rapidly varying readout gradient waveforms. A technique for simultaneously characterizing and correcting the system delay and linear‐ and zero‐order eddy currents of an MR system is proposed. A single set of calibration scans were used to compute a set of system constants that describe the effects of system delays and eddy currents to enable accurate reconstruction of data collected before uncorrected eddy currents have decayed. The ability of the proposed technique to reproducibly characterize small fixed delays (<50 μs) and short‐time constant (<1 ms) eddy currents is demonstrated. Magn Reson Med, 2009.


Neuroimaging Clinics of North America | 2009

Quantitative Sodium MR Imaging and Sodium Bioscales for the Management of Brain Tumors

Keith R. Thulborn; Aiming Lu; Ian C. Atkinson; Fred Damen; John L. Villano

Treatment of high-grade primary brain tumors is based on experience from multicenter trials. However, the prognosis has changed little in 3 decades. This suggests that there is a fundamental oversight in treatment. This article provides an imaging perspective of how regional responses of primary brain tumors may be examined to guide a flexible treatment plan. Sodium imaging provides a measurement of cell density that can be used to measure regional cell kill. Such a bioscales of regionally and temporally sensitive biologic-based parameters may be helpful to guide tumor treatment. These suggestions are speculative and still being examined, but are presented to challenge the medical community to be receptive to changes in the standard of care when that standard continues to fail.


Journal of Magnetic Resonance Imaging | 2010

Vital signs and cognitive function are not affected by 23-sodium and 17-oxygen magnetic resonance imaging of the human brain at 9.4 T.

Ian C. Atkinson; Rachel Sonstegaard; Neil Pliskin; Keith R. Thulborn

To evaluate the effect of 23‐sodium (23Na) and 17‐oxygen (17O) magnetic resonance imaging (MRI) at 9.4 (T) on vital signs and cognitive function of the human brain.


Magnetic Resonance in Medicine | 2011

Clinically constrained optimization of flexTPI acquisition parameters for the tissue sodium concentration bioscale.

Ian C. Atkinson; Aiming Lu; Keith R. Thulborn

The rapid transverse relaxation of the sodium magnetic resonance signal during spatial encoding causes a loss of image resolution, an effect known as T2‐blurring. Conventional wisdom suggests that spatial resolution is maximized by keeping the readout duration as short as possible to minimize T2‐blurring. Flexible twisted projection imaging performed with an ultrashort echo time, relative to T2, and a long repetition time, relative to T1, has been shown to be effective for quantitative sodium magnetic resonance imaging. A minimized readout duration requires a very large number of projections and, consequentially, results in an impractically long total acquisition time to meet these conditions. When the total acquisition time is limited to a clinically practical duration (e.g., 10 min), the optimal parameters for maximal spatial resolution of a flexible twisted projection imaging acquisition do not correspond to the shortest possible readout. Simulation and experimental results for resolution optimized acquisition parameters of quantitative sodium flexible twisted projection imaging of parenchyma and cerebrospinal fluid are presented for the human brain at 9.4 and 3.0T. The effect of signal loss during data collection on sodium quantification bias and image signal‐to‐noise ratio are discussed. Magn Reson Med, 2011.


Magnetic Resonance in Medicine | 2013

PCr/ATP ratio mapping of the human head by simultaneously imaging of multiple spectral peaks with interleaved excitations and flexible twisted projection imaging readout trajectories at 9.4 T

Aiming Lu; Ian C. Atkinson; Xiaohong Joe Zhou; Keith R. Thulborn

Quantitative 31P magnetic resonance imaging of the whole human brain is often time‐consuming even at low spatial resolution due to the low concentrations, long T1 relaxation times, and low detection sensitivity of phosphorus metabolites. We report herein the results of combining the increased detection sensitivity of an ultra‐high field 9.4 T scanner designed for human imaging with a new pulse sequence termed simultaneously imaging of multiple spectral peaks with interleaved excitations and flexible twisted projection imaging readout trajectories to rapidly sample multiple resonances in the 31P spectrum. The phosphocreatine and γ‐adenosine triphosphate images, obtained simultaneously from the entire human head, are demonstrated at 1.5 cm isotropic nominal resolution in a total acquisition time of 33 min. The phosphocreatine/γ‐adenosine triphosphate ratio calculated for brain parenchyma ( 1–2 ) and the superficial temporalis muscle ( 3–5 ) are in agreement with literature values. Magn Reson Med, 2013.


international conference on image processing | 2011

Modified-CS-residual for recursive reconstruction of highly undersampled functional MRI sequences

Wei Lu; Taoran Li; Ian C. Atkinson; Namrata Vaswani

In this work, we study the application of compressive sensing (CS) based approaches for blood oxygenation level dependent (BOLD) contrast functional MR imaging (fMRI). In particular, we show, via exhaustive experiments on actual MR scanner data for brain fMRI, that our recently proposed approach for recursive reconstruction of sparse signal sequences, modified-CS-residual, outperforms other existing CS based approaches. Modified-CS-residual exploits the fact that the sparsity pattern of brain fMRI sequences and their signal values change slowly over time. It provides a fast, yet accurate, reconstruction approach that is able to accurately track the changes of the active pixels, while using only about 30% measurements per frame. Significantly improved performance over existing work is shown in terms of practically relevant metrics such as active pixel time courses, activation maps and receiver operating characteristic (ROC) curves.

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Keith R. Thulborn

University of Illinois at Chicago

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Aiming Lu

University of Illinois at Chicago

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Theodore C. Claiborne

University of Illinois at Chicago

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Neil Pliskin

University of Illinois at Chicago

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Ajay Nemani

University of Illinois at Chicago

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Fred Damen

University of Illinois at Chicago

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