Tönnes, C.; Zöllner, F.G. Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST. Appl. Sci. 2023, 13, 9179. https://doi.org/10.3390/app13169179 Published: 11 August 2023 Abstract Background: For the reconstruction of Cone-Beam CT volumes, the exact position of each projection is needed; however, in some situations, this information is missing. Purpose: The development of a self-calibration algorithm
... weiter lesenStrittmatter, A.; Schad, Lothar R.; Zöllner F.G. Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – A comparative study on generalizability. Zeitschrift für Medizinische Physik, 2023, ISSN 0939-3889, https://doi.org/10.1016/j.zemedi.2023.05.003. Abstract Multimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities. In
... weiter lesenRittel, M.F.; Schmidt, S.; Weis, C.-A.; Birgin, E.; van Marwick, B.; Rädle, M.; Diehl, S.J.; Rahbari, N.N.; Marx, A.; Hopf, C. Spatial Omics Imaging of Fresh-Frozen Tissue and Routine FFPE Histopathology of a Single Cancer Needle Core Biopsy: A Freezing Device and Multimodal Workflow. Cancers 2023, 15, 2676. https://doi.org/10.3390/cancers15102676 Published: 10 May 2023 Simple Summary
... weiter lesenAbu Sammour, D., Cairns, J.L., Boskamp, T. et al. Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging. Nat Commun 14, 1823 (2023). https://doi.org/10.1038/s41467-023-37394-z Published: 01 April 2023 Abstract Mass spectrometry imaging vows to enable simultaneous spatially resolved investigation of hundreds of metabolites in tissues, but it primarily relies on traditional ion images for
... weiter lesenJason Chiang, MD, PhD, Hiro Sparks, MD, Johann S. Rink, MD, M. Franca Meloni, MD, Frank Hao, MD, Kyung H. Sung, PhD, and Edward W. Lee, MD, PhD Journal of Vascular and Interventional Radiology https://doi.org/10.1016/j.jvir.2022.10.041 Available online 8 November 2022 Received 4 June 2022, Revised 29 September 2022, Accepted 28 October 2022, Available online 8
... weiter lesenDamerow H, Cheng X, von Kiedrowski V, Schirrmacher R, Wängler B, Fricker G, Wängler C* (2022) Toward Optimized 89Zr-Immuno-PET: Side-by-Side Comparison of [89Zr]Zr-DFO-, [89Zr]Zr-3,4,3-(LI-1,2-HOPO)- and [89Zr]Zr-DFO*-Cetuximab for Tumor Imaging – Which Chelator is the Most Suitable? Pharmaceutics 14(10), 2114. DOI: 10.3390/pharmaceutics14102114. Published: 4 October 2022 https://doi.org/10.3390/pharmaceutics14102114 Abstract 89Zr represents a highly favorable positron emitter for
... weiter lesenWängler C, Beyer L, Bartenstein P, Wängler B, Schirrmacher R, Lindner S (2022) Favorable SSTR Subtype Selectivity of SiTATE: New momentum for clinical [18F]SiTATE PET. EJNMMI Radiopharmacy and Chemistry, 7(1), 22. DOI: 10.1186/s41181-022-00176-x. Published 05 September 2022 DOI: https://doi.org/10.1186/s41181-022-00176-x
... weiter lesenI. Brumer, D. Bauer, L. Schad and F. Zöllner. Synthetic Arterial Spin Labeling MRI of the Kidneys for Evaluation of Data Processing Pipeline. Diagnotsics, 2022, 12 (8), p.1854 . Published: 31 July 2022 https://doi.org/10.3390/diagnostics12081854 Abstract Accurate quantification of perfusion is crucial for diagnosis and monitoring of kidney function. Arterial spin labeling (ASL), a completely non-invasive magnetic
... weiter lesenJudmann B, Braun D, Schirrmacher R, Wängler B, Fricker G, Wängler C* (2022) Towards the development of GE11-based radioligands for imaging of EGFR-positive tumors. ACS Omega, 7(31), 27690–27702. DOI: 10.1021/acsomega.2c03407. Publication Date: July 28, 2022 https://doi.org/10.1021/acsomega.2c03407 Abstract The epidermal growth factor receptor (EGFR) is closely associated with tumor development and progression and thus an important
... weiter lesenC. Tönnes, T. Russ, L. Schad and F. Zöllner. Feature-based CBCT Self-Calibration for Arbitrary Trajectories.Int J CARS, 2022, 17 (11), pp. 2151-2159 Published 20 May 2022 https://doi.org/10.1007/s11548-022-02645-9 Abstract Purpose Development of an algorithm to self-calibrate arbitrary CBCT trajectories which can be used to reduce metal artifacts. By using feature detection and matching we want to reduce
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