Dr.-Ing. Philipp Ritt


Nuklearmedizinische Klinik
Lehrstuhl für Informatik 5 (Mustererkennung)

Publikationen (Download BibTeX)

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Schmidkonz, C., Cordes, M., Schmidt, D., Bäuerle, T., Goetz, T.I., Beck, M.,... Ritt, P. (2018). 68Ga-PSMA-11 PET/CT-derived metabolic parameters for determination of whole-body tumor burden and treatment response in prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. https://dx.doi.org/10.1007/s00259-018-4042-z
Schmidkonz, C., Hollweg, C., Beck, M., Reinfelder, J., Götz, T., Sanders, J.,... Ritt, P. (2018). 99m Tc-MIP-1404-SPECT/CT for the detection of PSMA-positive lesions in 225 patients with biochemical recurrence of prostate cancer. Prostate, 78(1), 54-63. https://dx.doi.org/10.1002/pros.23444
Schmidkonz, C., Cordes, M., Beck, M., Goetz, T.I., Schmidt, D., Prante, O.,... Ritt, P. (2018). Assessment of Treatment Response by 99mTc-MIP-1404 SPECT/CT: A Pilot Study in Patients With Metastatic Prostate Cancer. Clinical Nuclear Medicine, 43(8), e250-e258. https://dx.doi.org/10.1097/RLU.0000000000002162
Schmidkonz, C., Cordes, M., Beck, M., Goetz, T.I., Schmidt, D., Prante, O.,... Ritt, P. (2018). SPECT/CT With the PSMA Ligand 99mTc-MIP-1404 for Whole-Body Primary Staging of Patients With Prostate Cancer. Clinical Nuclear Medicine. https://dx.doi.org/10.1097/RLU.0000000000001991
Reinfelder, J., Kuwert, T., Beck, M., Sanders, J.C., Ritt, P., Schmidkonz, C.,... Goebell, P. (2017). First Experience With SPECT/CT Using a 99mTc-Labeled Inhibitor for Prostate-Specific Membrane Antigen in Patients With Biochemical Recurrence of Prostate Cancer. Clinical Nuclear Medicine, 42(1), 26-33. https://dx.doi.org/10.1097/RLU.0000000000001433
Welz, F., Sanders, J., Kuwert, T., Maler, J., Kornhuber, J., & Ritt, P. (2016). Absolute SPECT/CT quantification of cerebral uptake of 99mTc-HMPAO for patients with neurocognitive disorders. Nuklearmedizin-Nuclear Medicine, 55(4), 158-65. https://dx.doi.org/10.3413/Nukmed-0765-15-09
Sanders, J., Ritt, P., Kuwert, T., Vija, A.H., & Maier, A. (2016). Fully Automated Data-Driven Respiratory Signal Extraction From SPECT Images Using Laplacian Eigenmaps. IEEE Transactions on Medical Imaging, 35(11), 2425-2435. https://dx.doi.org/10.1109/TMI.2016.2576899
Aklan, B., Oehmigen, M., Beiderwellen, K., Ruhlmann, M., Paulus, D., Jakoby, B.W.,... Quick, H.H. (2016). Impact of Point-Spread Function Modeling on PET Image Quality in Integrated PET/MR Hybrid Imaging. Journal of Nuclear Medicine, 57(1), 78-84. https://dx.doi.org/10.2967/jnumed.115.154757
Beck, M., Sanders, J., Ritt, P., Reinfelder, J., & Kuwert, T. (2016). Longitudinal analysis of bone metabolism using SPECT/CT and (99m)Tc-diphosphono-propanedicarboxylic acid: comparison of visual and quantitative analysis. EJNMMI Research, 6(1), 60. https://dx.doi.org/10.1186/s13550-016-0217-4
Kuwert, T., & Ritt, P. (2016). PET/MRI and PET/CT: is there room for both at the top of the food chain? European Journal of Nuclear Medicine and Molecular Imaging, 43(2), 209-11. https://dx.doi.org/10.1007/s00259-015-3246-8

Zuletzt aktualisiert 2016-30-11 um 01:00