Search Results - "Irfanoglu, Okan"

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  1. 1

    What’s new and what’s next in diffusion MRI preprocessing by Tax, Chantal M.W., Bastiani, Matteo, Veraart, Jelle, Garyfallidis, Eleftherios, Okan Irfanoglu, M.

    Published in NeuroImage (Orlando, Fla.) (01-04-2022)
    “…•This review covers diffusion MRI artifacts and preprocessing steps.•Notable developments and new advances since the HCP are summarized.•Practical…”
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    Journal Article
  2. 2

    “Pscore”: A Novel Percentile‐Based Metric to Accurately Assess Individual Deviations in Non‐Gaussian Distributions of Quantitative MRI Metrics by Hafiz, Rakibul, Irfanoglu, M. Okan, Nayak, Amritha, Pierpaoli, Carlo

    Published in Journal of magnetic resonance imaging (01-11-2024)
    “…Background Quantitative magnetic resonance imaging (MRI) metrics could be used in personalized medicine to assess individuals against normative distributions…”
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  3. 3

    Evaluating corrections for Eddy‐currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking by Irfanoglu, M. Okan, Sarlls, Joelle, Nayak, Amritha, Pierpaoli, Carlo

    Published in Magnetic resonance in medicine (01-04-2019)
    “…Purpose To propose a methodology for assessment of algorithms that correct distortions due to motion, eddy‐currents, and echo planar imaging in diffusion…”
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  4. 4

    Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited by Thomas, Cibu, Ye, Frank Q., Irfanoglu, M. Okan, Modi, Pooja, Saleem, Kadharbatcha S., Leopold, David A., Pierpaoli, Carlo

    “…Significance Diffusion-weighted MRI (DWI) tractography is widely used to map structural connections of the human brain in vivo and has been adopted by…”
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  5. 5

    Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models by Hutchinson, Elizabeth B., Avram, Alexandru V., Irfanoglu, M. Okan, Koay, C. Guan, Barnett, Alan S., Komlosh, Michal E., Özarslan, Evren, Schwerin, Susan C., Juliano, Sharon L., Pierpaoli, Carlo

    Published in Magnetic resonance in medicine (01-11-2017)
    “…Purpose This study was a systematic evaluation across different and prominent diffusion MRI models to better understand the ways in which scalar metrics are…”
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  7. 7

    Mapping gradient nonlinearity and miscalibration using diffusion‐weighted MR images of a uniform isotropic phantom by Barnett, Alan Seth, Irfanoglu, M. Okan, Landman, Bennett, Rogers, Baxter, Pierpaoli, Carlo

    Published in Magnetic resonance in medicine (01-12-2021)
    “…Purpose To use diffusion measurements to map the spatial dependence of the magnetic field produced by the gradient coils of an MRI scanner with sufficient…”
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  8. 8

    Improved reproducibility of diffusion MRI of the human brain with a four‐way blip‐up and down phase‐encoding acquisition approach by Irfanoglu, M. Okan, Sadeghi, Neda, Sarlls, Joelle, Pierpaoli, Carlo

    Published in Magnetic resonance in medicine (01-05-2021)
    “…Purpose To assess the effects of blip‐up and ‐down echo planar imaging (EPI) acquisition designs, with different choices of phase‐encoding directions (PEDs) on…”
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  9. 9

    Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results by Irfanoglu, M. Okan, Walker, Lindsay, Sarlls, Joelle, Marenco, Stefano, Pierpaoli, Carlo

    Published in NeuroImage (Orlando, Fla.) (15-05-2012)
    “…In this work we investigate the effects of echo planar imaging (EPI) distortions on diffusion tensor imaging (DTI) based fiber tractography results. We propose…”
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  10. 10

    DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions by Irfanoglu, M. Okan, Modi, Pooja, Nayak, Amritha, Hutchinson, Elizabeth B., Sarlls, Joelle, Pierpaoli, Carlo

    Published in NeuroImage (Orlando, Fla.) (01-02-2015)
    “…We propose an echo planar imaging (EPI) distortion correction method (DR-BUDDI), specialized for diffusion MRI, which uses data acquired twice with reversed…”
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  11. 11

    Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure by Avram, Alexandru V., Sarlls, Joelle E., Barnett, Alan S., Özarslan, Evren, Thomas, Cibu, Irfanoglu, M. Okan, Hutchinson, Elizabeth, Pierpaoli, Carlo, Basser, Peter J.

    Published in NeuroImage (Orlando, Fla.) (15-02-2016)
    “…Diffusion tensor imaging (DTI) is the most widely used method for characterizing noninvasively structural and architectural features of brain tissues. However,…”
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  12. 12

    In vivo disentanglement of diffusion frequency‐dependence, tensor shape, and relaxation using multidimensional MRI by Johnson, Jessica T. E., Irfanoglu, M. Okan, Manninen, Eppu, Ross, Thomas J., Yang, Yihong, Laun, Frederik B., Martin, Jan, Topgaard, Daniel, Benjamini, Dan

    Published in Human brain mapping (01-05-2024)
    “…Diffusion MRI with free gradient waveforms, combined with simultaneous relaxation encoding, referred to as multidimensional MRI (MD‐MRI), offers…”
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  13. 13

    The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI) by Walker, Lindsay, Chang, Lin-Ching, Nayak, Amritha, Irfanoglu, M. Okan, Botteron, Kelly N., McCracken, James, McKinstry, Robert C., Rivkin, Michael J., Wang, Dah-Jyuu, Rumsey, Judith, Pierpaoli, Carlo

    Published in NeuroImage (Orlando, Fla.) (01-01-2016)
    “…The NIH MRI Study of normal brain development sought to characterize typical brain development in a population of infants, toddlers, children and…”
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  14. 14

    Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry by Lee, Nancy Raitano, Nayak, Amritha, Irfanoglu, M. Okan, Sadeghi, Neda, Stoodley, Catherine J., Adeyemi, Elizabeth, Clasen, Liv S., Pierpaoli, Carlo

    Published in Scientific reports (25-03-2020)
    “…Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no…”
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  15. 15

    Tensor-based morphometry using scalar and directional information of diffusion tensor MRI data (DTBM): Application to hereditary spastic paraplegia by Sadeghi, Neda, Arrigoni, Filippo, D'Angelo, Maria Grazia, Thomas, Cibu, Irfanoglu, M Okan, Hutchinson, Elizabeth B, Nayak, Amritha, Modi, Pooja, Bassi, Maria Teresa, Pierpaoli, Carlo

    Published in Human brain mapping (01-12-2018)
    “…Tensor-based morphometry (TBM) performed using T1-weighted images (T1WIs) is a well-established method for analyzing local morphological changes occurring in…”
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  16. 16

    Analysis of the contribution of experimental bias, experimental noise, and inter-subject biological variability on the assessment of developmental trajectories in diffusion MRI studies of the brain by Sadeghi, Neda, Nayak, Amritha, Walker, Lindsay, Okan Irfanoglu, M., Albert, Paul S., Pierpaoli, Carlo

    Published in NeuroImage (Orlando, Fla.) (01-04-2015)
    “…Metrics derived from the diffusion tensor, such as fractional anisotropy (FA) and mean diffusivity (MD) have been used in many studies of postnatal brain…”
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  17. 17

    Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI by Hansen, Colin B., Rogers, Baxter P., Schilling, Kurt G., Nath, Vishwesh, Blaber, Justin A., Irfanoglu, Okan, Barnett, Alan, Pierpaoli, Carlo, Anderson, Adam W., Landman, Bennett A.

    Published in Magnetic resonance imaging (01-02-2021)
    “…Achieving inter-site / inter-scanner reproducibility of diffusion weighted magnetic resonance imaging (DW-MRI) metrics has been challenging given differences…”
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  18. 18

    Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure by Özarslan, Evren, Koay, Cheng Guan, Shepherd, Timothy M., Komlosh, Michal E., İrfanoğlu, M. Okan, Pierpaoli, Carlo, Basser, Peter J.

    Published in NeuroImage (Orlando, Fla.) (01-09-2013)
    “…Diffusion-weighted magnetic resonance (MR) signals reflect information about underlying tissue microstructure and cytoarchitecture. We propose a quantitative,…”
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  19. 19

    Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging by Koay, Cheng Guan, Yeh, Ping-Hong, Ollinger, John M., İrfanoğlu, M. Okan, Pierpaoli, Carlo, Basser, Peter J., Oakes, Terrence R., Riedy, Gerard

    Published in NeuroImage (Orlando, Fla.) (01-02-2016)
    “…The purpose of this work is to develop a framework for single-subject analysis of diffusion tensor imaging (DTI) data. This framework is termed Tract…”
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  20. 20

    Tocotrienol vitamin E protects against preclinical canine ischemic stroke by inducing arteriogenesis by Rink, Cameron, Christoforidis, Greg, Khanna, Savita, Peterson, Laura, Patel, Yojan, Khanna, Suchin, Abduljalil, Amir, Irfanoglu, Okan, Machiraju, Raghu, Bergdall, Valerie K, Sen, Chandan K

    “…Vitamin E consists of tocopherols and tocotrienols, in which α-tocotrienol is the most potent neuroprotective form that is also effective in protecting against…”
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