Found 36 results
Filters: Author is Karakatsanis, Nicolas A  [Clear All Filters]
2021
Robson PM, Vergani V, Benkert T, Trivieri MGiovanna, Karakatsanis NA, Abgral R, Dweck MR, Moreno PR, Kovacic JC, Block KTobias et al..  2021.  Assessing the qualitative and quantitative impacts of simple two-class vs multiple tissue-class MR-based attenuation correction for cardiac PET/MR.. J Nucl Cardiol. 28(5):2194-2204.
Mahase SS, O'Brien DARoth, No D, Roytman M, Skafida ME, Lin E, Karakatsanis NA, Osborne JR, Brandmaier A, Pannullo SC et al..  2021.  [Ga]-DOTATATE PET/MRI as an adjunct imaging modality for radiation treatment planning of meningiomas.. Neurooncol Adv. 3(1):vdab012.
Akerele MI, Karakatsanis NA, Forsythe RO, Dweck MR, Syed M, Aykroyd RG, Sourbron S, Newby DE, Tsoumpas C.  2021.  Iterative reconstruction incorporating background correction improves quantification of [F]-NaF PET/CT images of patients with abdominal aortic aneurysm.. J Nucl Cardiol. 28(5):1875-1886.
Roytman M, Kim S, Glynn S, Thomas C, Lin E, Feltus W, Magge RS, Liechty B, Schwartz TH, Ramakrishna R et al..  2021.  PET/MR Imaging of Somatostatin Receptor Expression and Tumor Vascularity in Meningioma: Implications for Pathophysiology and Tumor Outcomes.. Front Oncol. 11:820287.
Akerele MI, Zein SA, Pandya S, Nikolopoulou A, Gauthier SA, Raj A, Henchcliffe C, P Mozley D, Karakatsanis NA, Gupta A et al..  2021.  Population-based input function for TSPO quantification and kinetic modeling with [C]-DPA-713.. EJNMMI Phys. 8(1):39.
Robson PM, Kaufman A, Pruzan A, Dweck MR, Trivieri M-G, Abgral R, Karakatsanis NA, Brunner PM, Guttman E, Fayad ZA et al..  2021.  Scan-rescan measurement repeatability of F-FDG PET/MR imaging of vascular inflammation.. J Nucl Cardiol.
2019
Fahrni G, Karakatsanis NA, Di Domenicantonio G, Garibotto V, Zaidi H.  2019.  Does whole-body Patlak F-FDG PET imaging improve lesion detectability in clinical oncology? Eur Radiol. 29(9):4812-4821.
Rahmim A, Lodge MA, Karakatsanis NA, Panin VY, Zhou Y, McMillan A, Cho S, Zaidi H, Casey ME, Wahl RL.  2019.  Dynamic whole-body PET imaging: principles, potentials and applications.. Eur J Nucl Med Mol Imaging. 46(2):501-518.
Deidda D, Karakatsanis NA, Robson PM, Calcagno C, Senders ML, Mulder WJM, Fayad ZA, Aykroyd RG, Tsoumpas C.  2019.  Hybrid PET/MR Kernelised Expectation Maximisation Reconstruction for Improved Image-Derived Estimation of the Input Function from the Aorta of Rabbits.. Contrast Media Mol Imaging. 2019:3438093.
Rowe SP, Solnes LB, Yin Y, Kitchen G, Lodge MA, Karakatsanis NA, Rahmim A, Pomper MG, Leal JP.  2019.  Imager-4D: New Software for Viewing Dynamic PET Scans and Extracting Radiomic Parameters from PET Data.. J Digit Imaging. 32(6):1071-1080.
Zhuang M, Karakatsanis NA, Dierckx RAJO, Zaidi H.  2019.  Impact of Tissue Classification in MRI-Guided Attenuation Correction on Whole-Body Patlak PET/MRI.. Mol Imaging Biol. 21(6):1147-1156.
Senders ML, Hernot S, Carlucci G, van de Voort JC, Fay F, Calcagno C, Tang J, Alaarg A, Zhao Y, Ishino S et al..  2019.  Nanobody-Facilitated Multiparametric PET/MRI Phenotyping of Atherosclerosis.. JACC Cardiovasc Imaging. 12(10):2015-2026.
Zhuang M, Karakatsanis NA, Dierckx RAJO, Zaidi H.  2019.  Quantitative Analysis of Heterogeneous [F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study.. Mol Imaging Biol. 21(2):317-327.
Inomata T, Watanuki S, Odagiri H, Nambu T, Karakatsanis NA, Ito H, Watabe H, Tashiro M, Shidahara M.  2019.  A systematic performance evaluation of head motion correction techniques for 3 commercial PET scanners using a reproducible experimental acquisition protocol.. Ann Nucl Med. 33(7):459-470.