Department of Radiology
Found 265 results
Filters: Author is Wang, Yi  [Clear All Filters]
2020
Deh K, Zaman M, Vedvyas Y, Liu Z, Gillen KMcCabe, Malley PO', Bedretdinova D, Nguyen T, Lee R, Spincemaille P et al..  2020.  Validation of MRI quantitative susceptibility mapping of superparamagnetic iron oxide nanoparticles for hyperthermia applications in live subjects.. Sci Rep. 10(1):1171.
2019
Li G, Zhai G, Zhao X, An H, Spincemaille P, Gillen KM, Ku Y, Wang Y, Huang D, Li J.  2019.  3D texture analyses within the substantia nigra of Parkinson's disease patients on quantitative susceptibility maps and R2 maps.. Neuroimage. 188:465-472.
Zhang S, Liu Z, Nguyen TD, Yao Y, Gillen KM, Spincemaille P, Kovanlikaya I, Gupta A, Wang Y.  2019.  Clinical feasibility of brain quantitative susceptibility mapping.. Magn Reson Imaging. 60:44-51.
Spincemaille P, Liu Z, Zhang S, Kovanlikaya I, Ippoliti M, Makowski M, Watts R, de Rochefort L, Venkatraman V, Desmond P et al..  2019.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.. J Neuroimaging. 29(6):689-698.
S Bandt K, de Rochefort L, Chen W, Dimov AV, Spincemaille P, Kopell BH, Gupta A, Wang Y.  2019.  Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice.. World Neurosurg. 122:e10-e19.
Azuma M, Hirai T, Nakaura T, Kitajima M, Yamashita S, Hashimoto M, Yamada K, Uetani H, Yamashita Y, Wang Y.  2019.  Combining quantitative susceptibility mapping to the morphometric index in differentiating between progressive supranuclear palsy and Parkinson's disease.. J Neurol Sci. 406:116443.
Hubertus S, Thomas S, Cho J, Zhang S, Wang Y, Schad LRudi.  2019.  Comparison of gradient echo and gradient echo sampling of spin echo sequence for the quantification of the oxygen extraction fraction from a combined quantitative susceptibility mapping and quantitative BOLD (QSM+qBOLD) approach.. Magn Reson Med. 82(4):1491-1503.
Weidman EK, Schweitzer AD, Niogi SN, Brady EJ, Starikov A, Askin G, Shahbazi M, Wang Y, Lange D, Tsiouris AJohn.  2019.  Diffusion tensor imaging and quantitative susceptibility mapping as diagnostic tools for motor neuron disorders.. Clin Imaging. 53:6-11.
Li C, Ye J, Peng Y, Dou W, Shang S, Wu J, Jafari R, Gillen KMcCabe, Wang Y, Prince M et al..  2019.  Evaluation of diffusion kurtosis imaging in stratification of nonalcoholic fatty liver disease and early diagnosis of nonalcoholic steatohepatitis in a rabbit model.. Magn Reson Imaging. 63:267-273.
Miyata M, Kakeda S, Kudo K, Iwata S, Tanaka Y, Wang Y, Korogi Y.  2019.  Evaluation of oxygen extraction fraction in systemic lupus erythematosus patients using quantitative susceptibility mapping.. J Cereb Blood Flow Metab. 39(8):1648-1658.
Wen Y, Weinsaft JW, Nguyen TD, Liu Z, Horn EM, Singh H, Kochav J, Eskreis-Winkler S, Deh K, Kim J et al..  2019.  Free breathing three-dimensional cardiac quantitative susceptibility mapping for differential cardiac chamber blood oxygenation - initial validation in patients with cardiovascular disease inclusive of direct comparison to invasive catheterization.. J Cardiovasc Magn Reson. 21(1):70.
Oh J, Ontaneda D, Azevedo C, Klawiter EC, Absinta M, Arnold DL, Bakshi R, Calabresi PA, Crainiceanu C, Dewey B et al..  2019.  Imaging outcome measures of neuroprotection and repair in MS: A consensus statement from NAIMS.. Neurology. 92(11):519-533.
Dimov A, Patel W, Yao Y, Wang Y, O'Halloran R, Kopell BH.  2019.  Iron concentration linked to structural connectivity in the subthalamic nucleus: implications for deep brain stimulation.. J Neurosurg. :1-8.
Guo Y, Chen Y, Zhang X, Mei Y, Yi P, Wang Y, Feng Q, La Tegola L, Guglielmi G, Zhang X et al..  2019.  Magnetic Susceptibility and Fat Content in the Lumbar Spine of Postmenopausal Women With Varying Bone Mineral Density.. J Magn Reson Imaging. 49(4):1020-1028.
Sheth S, Allen CJ, Farrell DE, Tripp JH, Jafari R, Wang Y, Brittenham GM.  2019.  Measurement of the liver iron concentration in transfusional iron overload by MRI R2* and by high-transition-temperature superconducting magnetic susceptometry.. Clin Imaging. 55:65-70.
Zhang S, Chiang GChia-Yi, Magge RS, Fine HAlan, Ramakrishna R, Chang EWang, Pulisetty T, Wang Y, Zhu W, Kovanlikaya I.  2019.  MRI based texture analysis to classify low grade gliomas into astrocytoma and 1p/19q codeleted oligodendroglioma.. Magn Reson Imaging. 57:254-258.
Deh K, Kawaji K, Bulk M, Van Der Weerd L, Lind E, Spincemaille P, Gillen KMcCabe, Van Auderkerke J, Wang Y, Nguyen TD.  2019.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.. Magn Reson Med. 81(2):1229-1236.
Lin F, Prince MR, Spincemaille P, Wang Y.  2019.  Patents on Quantitative Susceptibility Mapping (QSM) of Tissue Magnetism.. Recent Pat Biotechnol. 13(2):90-113.
Miyata M, Kakeda S, Toyoshima Y, Ide S, Okada K, Adachi H, Wang Y, Korogi Y.  2019.  Potential usefulness of signal intensity of cerebral gyri on quantitative susceptibility mapping for discriminating corticobasal degeneration from progressive supranuclear palsy and Parkinson's disease.. Neuroradiology. 61(11):1251-1259.
Kaunzner UW, Kang Y, Zhang S, Morris E, Yao Y, Pandya S, Rúa SMHurtado, Park C, Gillen KM, Nguyen TD et al..  2019.  Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions.. Brain. 142(1):133-145.
Guo Y, Liu Z, Wen Y, Spincemaille P, Zhang H, Jafari R, Zhang S, Eskreis-Winkler S, Gillen KM, Yi P et al..  2019.  Quantitative susceptibility mapping of the spine using in-phase echoes to initialize inhomogeneous field and R2* for the nonconvex optimization problem of fat-water separation.. NMR Biomed. 32(11):e4156.
Jafari R, Sheth S, Spincemaille P, Nguyen TD, Prince MR, Wen Y, Guo Y, Deh K, Liu Z, Margolis D et al..  2019.  Rapid automated liver quantitative susceptibility mapping.. J Magn Reson Imaging. 50(3):725-732.
Qiu W, Li D, Jin X, Liu F, Nguyen TD, Prince MR, Wang Y, Spincemaille P.  2019.  Sliding motion compensated low-rank plus sparse (SMC-LS) reconstruction for high spatiotemporal free-breathing liver 4D DCE-MRI.. Magn Reson Imaging. 58:56-66.
Zhang S, Chiang GChia-Yi, Magge RS, Fine HAlan, Ramakrishna R, Chang EWang, Pulisetty T, Wang Y, Zhu W, Kovanlikaya I.  2019.  Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas.. Eur Radiol. 29(6):2751-2759.
Hubertus S, Thomas S, Cho J, Zhang S, Wang Y, Schad LRudi.  2019.  Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD.. Magn Reson Med. 82(6):2199-2211.