Publications


Development of an abdominal phantom for the validation of an oligometastatic disease diagnosis workflow

16.05.2022

Dominik F. Bauer, Julian Rosenkranz, Alena-Kathrin Golla, Christian Tönnes, Ingo Hermann, Tom Russ, Gordian Kabelitz, Andreas J. Rothfuss, Lothar R. Schad, Jan L. Stallkamp, Frank G. Zöllner Med Phys.2022;1–10.First published: 05 May 2022 https://doi.org/10.1002/mp.15701 Abstract Purpose The liver is a common site for metastatic disease, which is a challenging and life-threatening condition with a grim

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A Physiologically Based Pharmacokinetic Model for In Vivo Alpha Particle Generators Targeting Neuroendocrine Tumors in Mice

19.01.2022

by Nouran R. R. Zaid 1,2,*, Peter Kletting 1,3, Gordon Winter 3, Vikas Prasad 3, Ambros J. Beer 3 and Gerhard Glatting 1,3 1 Medical Radiation Physics, Department of Nuclear Medicine, Ulm University, 89081 Ulm, Germany 2 Biophysics and Medical Imaging Program, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, An-Najah National University,

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End-to-End Deep Learning CT Image Reconstruction for Metal Artifact Reduction

31.12.2021

Appl. Sci. 2022, 12(1), 404; https://doi.org/10.3390/app12010404 (registering DOI) Dominik F. Bauer , Constantin Ulrich, Tom Russ, Alena-Kathrin Golla, Lothar R. Schad and Frank G. Zöllner Abstract Metal artifacts are common in CT-guided interventions due to the presence of metallic instruments. These artifacts often obscure clinically relevant structures, which can complicate the intervention. In this work, we

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Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy

15.11.2021

Philipp Aumüller, Andreas Rothfuss, Martin Polednik, Yasser Abo-Madyan, Michael Ehmann, Frank A Giordano, Sven Clausen Z Med Phys. 2021 Aug 6;S0939-3889(21)00061-1. doi: 10.1016/j.zemedi.2021.06.003 Online ahead of print. PMID: 34373188 DOI: 10.1016/j.zemedi.2021.06.003 Abstract Purpose: Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system

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Design, Synthesis, In Vitro and In Vivo Evaluation of Heterobivalent SiFAlin-Modified Peptidic Radioligands Targeting Both Integrin αvβ3 and the MC1 Receptor—Suitable for the Specific Visualization of Melanomas?

07.06.2021

Cheng, X.; Hübner, R.; von Kiedrowski, V.; Fricker, G.; Schirrmacher, R.; Wängler, C.; Wängler, B. Design, Synthesis, In Vitro and In Vivo Evaluation of Heterobivalent SiFAlin-Modified Peptidic Radioligands Targeting Both Integrin αvβ3 and the MC1 Receptor—Suitable for the Specific Visualization of Melanomas? Pharmaceuticals 2021, 14, 547. https://doi.org/10.3390/ph14060547 Abstract Combining two peptides addressing two different receptors

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Kidney Segmentation in Renal Magnetic Resonance Imaging – Current Status and Prospects

20.05.2021

F. G. Zöllner et al., “Kidney Segmentation in Renal Magnetic Resonance Imaging – Current Status and Prospects,” in IEEE Access, vol. 9, pp. 71577-71605, 2021, doi: 10.1109/ACCESS.2021.3078430. Abstract Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters have

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Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans

02.05.2021

A. -K. Golla et al., “Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans,” in IEEE Transactions on Biomedical Engineering, vol. 68, no. 5, pp. 1518-1526, May 2021, doi: 10.1109/TBME.2020.3042640. Abstract Objective: Three-dimensional (3D) blood vessel structure information is important for diagnosis and treatment in various clinical

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Generation of annotated multimodal ground truth datasets for abdominal medical image registration

02.05.2021

Bauer, D.F., Russ, T., Waldkirch, B.I. et al. Generation of annotated multimodal ground truth datasets for abdominal medical image registration. Int J CARS (2021). https://doi.org/10.1007/s11548-021-02372-7 Abstract Purpose Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions

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Multiparametric MRI in the Diagnosis of Prostate Cancer: Physical Foundations, Limitations, and Prospective Advances of Diffusion-Weighted MRI

14.12.2020

Barbara Daria Wichtmann , Frank Gerrit Zöllner, Ulrike Irmgard Attenberger, Stefan O. Schönberg Fortschr Röntgenstr 2020; DOI: 10.1055/a-1276-1773 Abstract Background Diffusion-weighted imaging (DWI) is an essential component of the multiparametric MRI exam for the diagnosis and assessment of prostate cancer (PCa). Over the last two decades, various models have been developed to quantitatively correlate the DWI signal

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Performance assessment of the ALBIRA II pre-clinical SPECT S102 system for 99mTc imaging

23.11.2020

Zeitschrift: Annals of Nuclear Medicine Autoren: Ali Asgar Attarwala, Deni Hardiansyah, Chiara Romanó, Luis David Jiménez-Franco, Mareike Roscher, Björn Wängler, Gerhard Glatting Annals of Nuclear Medicine https://doi.org/10.1007/s12149-020-01547-7 Abstract Objective The performance characteristics of the SPECT sub-system S102 of the ALBIRA II PET/SPECT/CT are analyzed for the 80 mm field of view (FOV) to evaluate the potential

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