Lee H, Shields AF, Siegel BA, Miller KD, Krop I, Ma CX, LoRusso PM, Munster PN, Campbell K, Gaddy DF, Leonard SC, Geretti E, Blocker SJ, Kirpotin DB, Moyo V, Wickham TJ, Hendriks BS. (64)Cu-MM-302 Positron Emission Tomography Quantifies Variability of Enhanced Permeability and Retention of Nanoparticles in Relation to Treatment Response in Patients with Metastatic Breast Cancer. Clin Cancer Res. 2017 Aug 1;23(15):4190-4202. doi: 10.1158/1078-0432.CCR-16-3193. Epub 2017 Mar 15. PubMed PMID: 28298546; PubMed Central PMCID: PMC6790129. https://clincancerres.aacrjournals.org/content/23/15/4190
Xie, L., Bennett, K. M., Liu, C., Johnson, G. A., Zhang, J. L., & Lee, V. S. (2016). MRI tools for assessment of microstructure and nephron function of the kidney. Am J Physiol Renal Physiol, 311(6), F1109–F1124. https://doi.org/10.1152/ajprenal.00134.2016
Wei, H., Xie, L., Dibb, R., Li, W., Decker, K., Zhang, Y., Johnson, G.A., Liu, C. (2016). Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping. Neuroimage, 137, 107–115. https://doi.org/10.1016/j.neuroimage.2016.05.033
Xie, L., Layton, A. T., Wang, N., Larson, P. E. Z., Zhang, J. L., Lee, V. S., Liu, C., Johnson, G. A. (2016). Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function. Am J Physiol Renal Physiol, 310(2), F174–F182. https://doi.org/10.1152/ajprenal.00351.2015
Subashi, E., Cordero, F. J., Halvorson, K. G., Qi, Y., Nouls, J. C., Becher, O. J., & Johnson, G. A. (2016). Tumor location, but not H3.3K27M, significantly influences the blood-brain-barrier permeability in a genetic mouse model of pediatric high-grade glioma. J Neurooncol, 126(2), 243–251. https://doi.org/10.1007/s11060-015-1969-9
Wang, Nian, Farid Badar, and Yang Xia. “MRI properties of a unique hypo-intense layer in degraded articular cartilage.” Phys Med Biol 60, no. 22 (November 21, 2015): 8709–21. https://doi.org/10.1088/0031-9155/60/22/8709
Wei, Hongjiang, Russell Dibb, Yan Zhou, Yawen Sun, Jianrong Xu, Nian Wang, and Chunlei Liu. “Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.” Nmr Biomed 28, no. 10 (October 2015): 1294–1303. https://doi.org/10.1002/nbm.3383
Paxinos, G., Watson, C., Calabrese, E., Badea, A., & Johnson, G. (2015). An MRI/DTI Atlas of the Rat Brain. Elsevier, Academic Press. https://www.elsevier.com/books/mri-dti-atlas-of-the-rat-brain/paxinos/978-0-12-417313-2
Calabrese, E., Hickey, P., Hulette, C., Zhang, J., Parente, B., Lad, S. P., & Johnson, G. A. (2015). Postmortem diffusion MRI of the human brainstem and thalamus for deep brain stimulator electrode localization. Hum Brain Mapp, 36(8), 3167–3178. https://doi.org/10.1002/hbm.22836
Johnson, G. A. (2015). Magnetic resonance histology. J Magn Reson Imaging, 42(1), 1–2. https://doi.org/10.1002/jmri.24774
Borg, J. S., Vu, M.-A., Badea, C., Badea, A., Johnson, G. A., & Dzirasa, K. (2015). Localization of Metal Electrodes in the Intact Rat Brain Using Registration of 3D Microcomputed Tomography Images to a Magnetic Resonance Histology Atlas. Eneuro, 2(4). https://doi.org/10.1523/ENEURO.0017-15.2015
Calabrese, E., Badea, A., Cofer, G., Qi, Y., & Johnson, G. A. (2015). A Diffusion MRI Tractography Connectome of the Mouse Brain and Comparison with Neuronal Tracer Data. Cereb Cortex, 25(11), 4628–4637. https://doi.org/10.1093/cercor/bhv
Calabrese, E., Badea, A., Coe, C. L., Lubach, G. R., Shi, Y., Styner, M. A., & Johnson, G. A. (2015). A diffusion tensor MRI atlas of the postmortem rhesus macaque brain. Neuroimage, 117, 408–416. https://doi.org/10.1016/j.neuroimage.2015.05.072
Wang, Nian, David Kahn, Farid Badar, and Yang Xia. “Molecular origin of a loading-induced black layer in the deep region of articular cartilage at the magic angle.” J Magn Reson Imaging 41, no. 5 (May 2015): 1281–90. https://doi.org/10.1002/jmri.24658.
Subashi, E., Qi, Y., & Johnson, G. A. (2015). Dynamic contrast-enhanced MR microscopy identifies regions of therapeutic response in a preclinical model of colorectal adenocarcinoma. Medical Physics, 42(5), 2482–2488. https://doi.org/10.1118/1.4917525
Xie, L., Qi, Y., Subashi, E., Liao, G., Miller-DeGraff, L., Jetten, A. M., & Johnson, G. A. (2015). 4D MRI of polycystic kidneys from rapamycin-treated Glis3-deficient mice. Nmr Biomed, 28(5), 546–554. https://doi.org/10.1002/nbm.3281
Xie, L., Dibb, R., Cofer, G. P., Li, W., Nicholls, P. J., Johnson, G. A., & Liu, C. (2015). Susceptibility tensor imaging of the kidney and its microstructural underpinnings. Magn Reson Med, 73(3), 1270–1281. https://doi.org/10.1002/mrm.25219
Li, Wei, Nian Wang, Fang Yu, Hui Han, Wei Cao, Rebecca Romero, Bundhit Tantiwongkosi, Timothy Q. Duong, and Chunlei Liu. “A method for estimating and removing streaking artifacts in quantitative susceptibility mapping.” Neuroimage 108 (March 2015): 111–22. https://doi.org/10.1016/j.neuroimage.2014.12.043
Cutlip, R. G., Hollander, M. S., Johnson, G. A., Johnson, B. W., Friend, S. A., & Baker, B. A. (2014). Magnetic resonance imaging of graded skeletal muscle injury in live rats. Environmental Health Insights, 8(Suppl 1), 31–39. https://doi.org/10.4137/EHI.S15255
Papp, E. A., Leergaard, T. B., Calabrese, E., Johnson, G. A., & Bjaalie, J. G. (2015). Addendum to “Waxholm Space atlas of the Sprague Dawley rat brain” [NeuroImage 97 (2014) 374-386]. Neuroimage, 105, 561–562. https://doi.org/10.1016/j.neuroimage.2014.10.017
Angeli, S., Befera, N., Peyrat, J.-M., Calabrese, E., Johnson, G. A., & Constantinides, C. (2014). A high-resolution cardiovascular magnetic resonance diffusion tensor map from ex-vivo C57BL/6 murine hearts. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance, 16, 77. https://doi.org/10.1186/s12968-014-0077-x
Cao, W., Li, W., Han, H., O’Leary-Moore, S. K., Sulik, K. K., Allan Johnson, G., & Liu, C. (2014). Prenatal alcohol exposure reduces magnetic susceptibility contrast and anisotropy in the white matter of mouse brains. Neuroimage, 102 Pt 2, 748–755. https://doi.org/10.1016/j.neuroimage.2014.08.035
Papp, E. A., Leergaard, T. B., Calabrese, E., Johnson, G. A., & Bjaalie, J. G. (2014). Waxholm Space atlas of the Sprague Dawley rat brain. Neuroimage, 97, 374–386. https://doi.org/10.1016/j.neuroimage.2014.04.001
Xie, L., Subashi, E., Qi, Y., Knepper, M. A., & Johnson, G. A. (2014). Four-dimensional MRI of renal function in the developing mouse. Nmr Biomed, 27(9), 1094–1102. https://doi.org/10.1002/nbm.3162
Lipinski, R. J., Holloway, H. T., O’Leary-Moore, S. K., Ament, J. J., Pecevich, S. J., Cofer, G. P., Budin, F., Everson, J. L., Johnson, G. A., Sulik, K. K. (2014). Characterization of subtle brain abnormalities in a mouse model of Hedgehog pathway antagonist-induced cleft lip and palate. Plos One, 9(7), e102603. https://doi.org/10.1371/journal.pone.0102603
Calabrese, E., Badea, A., Coe, C. L., Lubach, G. R., Styner, M. A., & Johnson, G. A. (2014). Investigating the tradeoffs between spatial resolution and diffusion sampling for brain mapping with diffusion tractography: time well spent? Hum Brain Mapp, 35(11), 5667–5685. https://doi.org/10.1002/hbm.22578
Calabrese, E., Du, F., Garman, R. H., Johnson, G. A., Riccio, C., Tong, L. C., & Long, J. B. (2014). Diffusion tensor imaging reveals white matter injury in a rat model of repetitive blast-induced traumatic brain injury. Journal of Neurotrauma, 31(10), 938–950. https://doi.org/10.1089/neu.2013.3144
Befera, N. T., Badea, C. T., & Johnson, G. A. (2014). Comparison of 4D-microSPECT and microCT for murine cardiac function. Mol Imaging Biol, 16(2), 235–245. https://doi.org/10.1007/s11307-013-0686-z
Johnson, G. A., Calabrese, E., Little, P. B., Hedlund, L., Qi, Y., & Badea, A. (2014). Quantitative mapping of trimethyltin injury in the rat brain using magnetic resonance histology. Neurotoxicology, 42, 12–23. https://doi.org/10.1016/j.neuro.2014.02.009
Gyengesi, E., Calabrese, E., Sherrier, M. C., Johnson, G. A., Paxinos, G., & Watson, C. (2014). Semi-automated 3D segmentation of major tracts in the rat brain: comparing DTI with standard histological methods. Brain Struct Funct, 219(2), 539–550. https://doi.org/10.1007/s00429-013-0516-8
Argyridis, I., Li, W., Johnson, G. A., & Liu, C. (2014). Quantitative magnetic susceptibility of the developing mouse brain reveals microstructural changes in the white matter. Neuroimage, 88, 134–142. https://doi.org/10.1016/j.neuroimage.2013.11.026
Lee, C.-L., Min, H., Befera, N., Clark, D., Qi, Y., Das, S., Johnson, G. A., Badea, C., Kirsch, D. G. (2014). Assessing cardiac injury in mice with dual energy-microCT, 4D-microCT, and microSPECT imaging after partial heart irradiation. Int J Radiat Oncol Biol Phys, 88(3), 686–693. https://doi.org/10.1016/j.ijrobp.2013.11.238
Subashi, E., Choudhury, K. R., & Johnson, G. A. (2014). An analysis of the uncertainty and bias in DCE-MRI measurements using the spoiled gradient-recalled echo pulse sequence. Med Phys, 41(3), 032301. https://doi.org/10.1118/1.4865790
Ashton, J. R., Befera, N., Clark, D., Qi, Y., Mao, L., Rockman, H. A., Johnson, G. A., Badea, C. T. (2014). Anatomical and functional imaging of myocardial infarction in mice using micro-CT and eXIA 160 contrast agent. Contrast Media Mol Imaging, 9(2), 161–168. https://doi.org/10.1002/cmmi.1557
Xie, L., Sparks, M. A., Li, W., Qi, Y., Liu, C., Coffman, T. M., & Johnson, G. A. (2013). Quantitative susceptibility mapping of kidney inflammation and fibrosis in type 1 angiotensin receptor-deficient mice. Nmr Biomed, 26(12), 1853–1863. https://doi.org/10.1002/nbm.3039
Wang, Nian, and Yang Xia. “Experimental issues in the measurement of multi-component relaxation times in articular cartilage by microscopic MRI.” J Magn Reson 235 (October 2013): 15–25. https://doi.org/10.1016/j.jmr.2013.07.001
Calabrese, E., & Johnson, G. A. (2013). Diffusion tensor magnetic resonance histology reveals microstructural changes in the developing rat brain. Neuroimage, 79, 329–339. https://doi.org/10.1016/j.neuroimage.2013.04.101
Parnell, S. E., Holloway, H. T., O’Leary-Moore, S. K., Dehart, D. B., Paniaqua, B., Oguz, I., Budin, F., Styner, M., Johnson, G. A., Sulik, K. K. (2013). Magnetic resonance microscopy-based analyses of the neuroanatomical effects of gestational day 9 ethanol exposure in mice. Neurotoxicol Teratol, 39, 77–83. https://doi.org/10.1016/j.ntt.2013.07.009
Wang, Nian, and Yang Xia. “Anisotropic analysis of multi-component T2 and T1ρ relaxations in achilles tendon by NMR spectroscopy and microscopic MRI.” J Magn Reson Imaging 38, no. 3 (September 2013): 625–33. https://doi.org/10.1002/jmri.24012
Johnson, G. A., Badea, A., Calabrese, E., Liu, C., & Xie, L. (2013). Magnetic resonance histology: cool images- but who cares? Toxicology Letters, 221, S50–S50. https://doi.org/10.1016/j.toxlet.2013.06.183