TY - JOUR AU - Cheng, G. AU - Fosse, P. AU - Zhuang, H. AU - Hustinx, R. PY - 2010 DA - 2010// TI - Applications of PET and PET/CT in the evaluation of infection and inflammation in the skeletal system JO - Pet Clinics VL - 5 UR - https://doi.org/10.1016/j.cpet.2010.05.003 DO - 10.1016/j.cpet.2010.05.003 ID - Cheng2010 ER - TY - JOUR AU - Lemans, J. V. C. AU - Hobbelink, M. G. G. AU - Ijpma, F. F. A. AU - Plate, J. D. J. AU - Kieboom, J. AU - Bosch, P. PY - 2019 DA - 2019// TI - The diagnostic accuracy of F-18-FDG PET/CT in diagnosing fracture-related infections JO - Eur J Nucl Med Mol Imaging VL - 46 UR - https://doi.org/10.1007/s00259-018-4218-6 DO - 10.1007/s00259-018-4218-6 ID - Lemans2019 ER - TY - JOUR AU - Drew, A. AU - Torigian, M. AU - Habib, Z. P. AU - Thomas, C. AU - Kwee, M. AU - Babak, S. M. PY - 2013 DA - 2013// TI - PET/MR imaging: technical aspects and potential clinical applications JO - Radiology. VL - 267 UR - https://doi.org/10.1148/radiol.13121038 DO - 10.1148/radiol.13121038 ID - Drew2013 ER - TY - JOUR AU - Bailey, D. L. AU - Pichler, B. J. AU - Guckel, B. AU - Barthel, H. AU - Beer, A. J. AU - Bremerich, J. PY - 2015 DA - 2015// TI - Combined PET/MR: multi-modality multi-parametric imaging is here JO - Mol Imaging Biol VL - 17 UR - https://doi.org/10.1007/s11307-015-0886-9 DO - 10.1007/s11307-015-0886-9 ID - Bailey2015 ER - TY - JOUR AU - Besson, F. L. AU - Lebon, V. AU - Durand, E. PY - 2016 DA - 2016// TI - What are we expecting from PET/MRI? JO - Med Médecine Nucléaire VL - 40 UR - https://doi.org/10.1016/j.mednuc.2016.01.002 DO - 10.1016/j.mednuc.2016.01.002 ID - Besson2016 ER - TY - JOUR AU - Christensen, N. L. AU - Hammer, B. E. AU - Heil, B. G. AU - Fetterly, K. PY - 1995 DA - 1995// TI - Positron emission tomography within a magnetic field using photomultiplier tubes and lightguides JO - Phys Med Biol VL - 40 UR - https://doi.org/10.1088/0031-9155/40/4/014 DO - 10.1088/0031-9155/40/4/014 ID - Christensen1995 ER - TY - JOUR AU - Shao, Y. AU - Cherry, S. R. AU - Farahani, K. AU - Meadors, K. AU - Siegel, S. AU - Silverman, R. W. PY - 1997 DA - 1997// TI - Simultaneous PET and MR imaging JO - Phys Med Biol VL - 42 UR - https://doi.org/10.1088/0031-9155/42/10/010 DO - 10.1088/0031-9155/42/10/010 ID - Shao1997 ER - TY - JOUR AU - Delso, G. AU - Furst, S. AU - Jakoby, B. AU - Ladebeck, R. AU - Ganter, C. AU - Nekolla, S. G. PY - 2011 DA - 2011// TI - Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner JO - J Nucl Med VL - 52 UR - https://doi.org/10.2967/jnumed.111.092726 DO - 10.2967/jnumed.111.092726 ID - Delso2011 ER - TY - JOUR AU - Schaart, D. R. AU - Seifert, S. AU - Vinke, R. AU - Dam, H. T. AU - Dendooven, P. AU - Lohner, H. PY - 2010 DA - 2010// TI - LaBr(3):Ce and SiPMs for time-of-flight PET: achieving 100 ps coincidence resolving time JO - Phys Med Biol VL - 55 UR - https://doi.org/10.1088/0031-9155/55/7/N02 DO - 10.1088/0031-9155/55/7/N02 ID - Schaart2010 ER - TY - JOUR AU - Catana, C. AU - Drzezga, A. AU - Heiss, W. -. D. PY - 2012 DA - 2012// TI - PET/MR for neurologic applications JO - J Nucl Med VL - 53 UR - https://doi.org/10.2967/jnumed.112.105346 DO - 10.2967/jnumed.112.105346 ID - Catana2012 ER - TY - JOUR AU - Meyer, P. T. AU - Frings, L. AU - Rucker, G. AU - Hellwig, S. PY - 2017 DA - 2017// TI - 18-F-FDG PET in parkinsonism: differential diagnosis and evaluation of cognitive impairment JO - J Nucl Med VL - 58 UR - https://doi.org/10.2967/jnumed.116.186403 DO - 10.2967/jnumed.116.186403 ID - Meyer2017 ER - TY - STD TI - Klyuzhin IS, Fu GJF, Hong A, Sacheli M, Shenkov N, et al. Data-driven, voxel-based analysis of brain PET images: application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration. PLoS One. 2018;13(11). https://doi.org/10.1371/journal.pone.0206607. ID - ref12 ER - TY - JOUR AU - Gonzalez-Villa, S. AU - Oliver, A. AU - Valverde, S. AU - Wang, L. P. AU - Zwiggelaar, R. AU - Llado, X. PY - 2016 DA - 2016// TI - A review on brain structures segmentation in magnetic resonance imaging JO - Artif Intell Med VL - 73 UR - https://doi.org/10.1016/j.artmed.2016.09.001 DO - 10.1016/j.artmed.2016.09.001 ID - Gonzalez-Villa2016 ER - TY - JOUR AU - Forstmann, B. U. AU - Isaacs, B. R. AU - Temel, Y. PY - 2017 DA - 2017// TI - Ultra high field MRI-guided deep brain stimulation JO - Trends Biotechnol VL - 35 UR - https://doi.org/10.1016/j.tibtech.2017.06.010 DO - 10.1016/j.tibtech.2017.06.010 ID - Forstmann2017 ER - TY - JOUR AU - Zwirner, J. AU - Mobius, D. AU - Bechmann, I. AU - Arendt, T. AU - Hoffmann, K. T. AU - Jager, C. PY - 2017 DA - 2017// TI - Subthalamic nucleus volumes are highly consistent but decrease age-dependentlya combined magnetic resonance imaging and stereology approach in humans JO - Hum Brain Mapp VL - 38 UR - https://doi.org/10.1002/hbm.23427 DO - 10.1002/hbm.23427 ID - Zwirner2017 ER - TY - JOUR AU - Chakravarty, M. M. AU - Steadman, P. AU - Eede, M. C. AU - Calcott, R. D. AU - Gu, V. AU - Shaw, P. PY - 2013 DA - 2013// TI - Performing label-fusion-based segmentation using multiple automatically generated templates JO - Hum Brain Mapp VL - 34 UR - https://doi.org/10.1002/hbm.22092 DO - 10.1002/hbm.22092 ID - Chakravarty2013 ER - TY - JOUR AU - Ewert, S. AU - Horn, A. AU - Finkel, F. AU - Li, N. F. AU - Kuhn, A. A. AU - Herrington, T. M. PY - 2019 DA - 2019// TI - Optimization and comparative evaluation of nonlinear deformation algorithms for atlas-based segmentation of DBS target nuclei JO - Neuroimage. VL - 184 UR - https://doi.org/10.1016/j.neuroimage.2018.09.061 DO - 10.1016/j.neuroimage.2018.09.061 ID - Ewert2019 ER - TY - JOUR AU - Ewert, S. AU - Plettig, P. AU - Li, N. AU - Chakravarty, M. M. AU - Collins, D. L. AU - Herrington, T. M. PY - 2018 DA - 2018// TI - Toward defining deep brain stimulation targets in MNI space: a subcortical atlas based on multimodal MRI, histology and structural connectivity JO - Neuroimage. VL - 170 UR - https://doi.org/10.1016/j.neuroimage.2017.05.015 DO - 10.1016/j.neuroimage.2017.05.015 ID - Ewert2018 ER - TY - STD TI - Nozadi SH, Kadoury S, Alzheimers Dis N. Classification of Alzheimer’s and MCI patients from semantically parcelled PET images: a comparison between AV45 and FDG-PET. Int J Biomed Imaging. 2018; https://doi.org/10.1155/2018/1247430. ID - ref19 ER - TY - STD TI - Sun X, Liu F, Li Q, Gai Y, Ruan W, Wimalarathne DN, et al. Quantitative research of C-11-CFT and F-18-FDG PET in Parkinson’s disease: a pilot study with NeuroQ software. Front Neurosci. 2019. https://doi.org/10.3389/fnins.2019.00299. ID - ref20 ER - TY - JOUR AU - Saint-Aubert, L. AU - Nemmi, F. AU - Peran, P. AU - Barbeau, E. J. AU - Payoux, P. AU - Chollet, F. PY - 2014 DA - 2014// TI - Comparison between PET template-based method and MRI-based method for cortical quantification of florbetapir (AV-45) uptake in vivo JO - Eur J Nucl Med Mol Imaging VL - 41 UR - https://doi.org/10.1007/s00259-013-2656-8 DO - 10.1007/s00259-013-2656-8 ID - Saint-Aubert2014 ER - TY - JOUR AU - Klein, A. AU - Andersson, J. AU - Ardekani, B. A. AU - Ashburner, J. AU - Avants, B. AU - Chiang, M. C. PY - 2009 DA - 2009// TI - Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration JO - Neuroimage. VL - 46 UR - https://doi.org/10.1016/j.neuroimage.2008.12.037 DO - 10.1016/j.neuroimage.2008.12.037 ID - Klein2009 ER - TY - JOUR AU - Glasser, M. F. AU - Coalson, T. S. AU - Robinson, E. C. AU - Hacker, C. D. AU - Harwell, J. AU - Yacoub, E. PY - 2016 DA - 2016// TI - A multi-modal parcellation of human cerebral cortex JO - Nature VL - 536 UR - https://doi.org/10.1038/nature18933 DO - 10.1038/nature18933 ID - Glasser2016 ER - TY - JOUR AU - Karim, H. T. AU - Andreescu, C. AU - MacCloud, R. L. AU - Butters, M. A. AU - Reynolds, C. F. AU - Aizenstein, H. J. PY - 2016 DA - 2016// TI - The effects of white matter disease on the accuracy of automated segmentation JO - Psychiatry Res Neuroimaging VL - 253 UR - https://doi.org/10.1016/j.pscychresns.2016.05.003 DO - 10.1016/j.pscychresns.2016.05.003 ID - Karim2016 ER - TY - JOUR AU - Kaneta, T. AU - Okamura, N. AU - Minoshima, S. AU - Furukawa, K. AU - Tashiro, M. AU - Furumoto, S. PY - 2011 DA - 2011// TI - A modified method of 3D-SSP analysis for amyloid PET imaging using C-11 BF-227 JO - Ann Nucl Med VL - 25 UR - https://doi.org/10.1007/s12149-011-0518-7 DO - 10.1007/s12149-011-0518-7 ID - Kaneta2011 ER - TY - JOUR AU - Angulakshmi, M. AU - Lakshmi Priya, G. G. PY - 2017 DA - 2017// TI - Automated brain tumour segmentation techniques-a review JO - Int J Imaging Syst Technol VL - 27 UR - https://doi.org/10.1002/ima.22211 DO - 10.1002/ima.22211 ID - Angulakshmi2017 ER - TY - JOUR AU - Leynes, A. P. AU - Yang, J. AU - Shanbhag, D. D. AU - Kaushik, S. S. AU - Seo, Y. AU - Hope, T. A. PY - 2017 DA - 2017// TI - Hybrid ZTE/Dixon MR-based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MR JO - Med Phys VL - 44 UR - https://doi.org/10.1002/mp.12122 DO - 10.1002/mp.12122 ID - Leynes2017 ER - TY - JOUR AU - Kinahan, P. E. AU - Fletcher, J. W. PY - 2010 DA - 2010// TI - Positron emission tomography-computed tomography standardized uptake values in clinical practice and assessing response to therapy JO - Sem Ultrasound Ct Mri VL - 31 UR - https://doi.org/10.1053/j.sult.2010.10.001 DO - 10.1053/j.sult.2010.10.001 ID - Kinahan2010 ER - TY - STD TI - Wang BT, Poirier S, Guo T, Parrent AG, Peters TM, Khan AR. Generation and evaluation of an ultra-high-field atlas with applications in DBS planning. Medical Imaging 2016: Image Processing, 97840H; doi:https://doi.org/10.1117/12.2217126. ID - ref29 ER - TY - JOUR AU - Adler, C. H. AU - Beach, T. G. AU - Hentz, J. G. AU - Shill, H. A. AU - Caviness, J. N. AU - Driver-Dunckley, E. PY - 2014 DA - 2014// TI - Low clinical diagnostic accuracy of early vs advanced Parkinson disease Clinicopathologic study JO - Neurology. VL - 83 UR - https://doi.org/10.1212/WNL.0000000000000641 DO - 10.1212/WNL.0000000000000641 ID - Adler2014 ER - TY - JOUR AU - Wu, P. AU - Wang, J. AU - Peng, S. C. AU - Ma, Y. L. AU - Zhang, H. W. AU - Guan, Y. H. PY - 2013 DA - 2013// TI - Metabolic brain network in the Chinese patients with Parkinson’s disease based on F-18-FDG PET imaging JO - Parkinsonism Relat Disord VL - 19 UR - https://doi.org/10.1016/j.parkreldis.2013.02.013 DO - 10.1016/j.parkreldis.2013.02.013 ID - Wu2013 ER - TY - STD TI - Gu SC, Ye Q, Yuan CX. Metabolic pattern analysis of 18F-FDG PET as a marker for Parkinson’s disease: a systematic review and meta-analysis. Rev Neurosci. 2019. https://doi.org/10.1515/revneuro-2018-0061. ID - ref32 ER - TY - JOUR AU - Fonov, V. AU - Evans, A. C. AU - Botteron, K. AU - Almli, C. R. AU - McKinstry, R. C. AU - Collins, D. L. PY - 2011 DA - 2011// TI - Unbiased average age-appropriate atlases for pediatric studies JO - Neuroimage. VL - 54 UR - https://doi.org/10.1016/j.neuroimage.2010.07.033 DO - 10.1016/j.neuroimage.2010.07.033 ID - Fonov2011 ER - TY - JOUR AU - Xiao, Y. M. AU - Fonov, V. AU - Beriault, S. AU - Subaie, F. AU - Chakravarty, M. M. AU - Sadikot, A. F. PY - 2015 DA - 2015// TI - Multi-contrast unbiased MRI atlas of a Parkinson’s disease population JO - Int J Comput Assist Radiol Surg VL - 10 UR - https://doi.org/10.1007/s11548-014-1068-y DO - 10.1007/s11548-014-1068-y ID - Xiao2015 ER -