Publications


Favorable SSTR subtype selectivity of SiTATE: new momentum for clinical [18F]SiTATE PET

05.09.2022

Wängler 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

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Synthetic Arterial Spin Labeling MRI of the Kidneys for Evaluation of Data Processing Pipeline

31.07.2022

I. 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

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Towards the development of GE11-based radioligands for imaging of EGFR-positive tumors

28.07.2022

Judmann 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

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Feature-based CBCT self-calibration for arbitrary trajectories

20.05.2022

C. 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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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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Deep Learning-Based Total Kidney Volume Segmentation in Autosomal Dominant Polycystic Kidney Disease Using Attention, Cosine Loss, and Sharpness Aware Minimization

07.05.2022

A. Raj, F. Tollens, L. Hansen, A. Golla, L. Schad, D. Nörenberg and F. Zöllner. Deep Learning-Based Total Kidney Volume Segmentation in Autosomal Dominant Polycystic Kidney Disease Using Attention, Cosine Loss, and Sharpness Aware Minimization. Diagnostics, 2022, 12 (5), p.1159  Published: 7 May 2022 https://doi.org/10.3390/diagnostics12051159 Abstract Early detection of the autosomal dominant polycystic kidney disease (ADPKD)

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Prostatic Artery Embolization for Treatment of Lower Urinary Tract Symptoms: A Markov Model-Based Cost-Effectiveness Analysis

25.04.2022

Rink JS, Froelich MF, McWilliams JP, Gratzke C, Huber T, Gresser E, Schoenberg SO, Diehl SJ, Nörenberg D. Prostatic Artery Embolization for Treatment of Lower Urinary Tract Symptoms: A Markov Model-Based Cost-Effectiveness Analysis. J Am Coll Radiol. 2022 Jun;19(6):733-743. doi: 10.1016/j.jacr.2022.02.040. Epub 2022 Apr 25. PMID: 35476943. DOI: 10.1016/j.jacr.2022.02.040 Abstract Purpose: The aim of this

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Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI

01.02.2022

de Boer A, Villa G, Bane O, Bock M, Cox EF, Dekkers IA, Eckerbom P, Fernández-Seara MA, Francis ST, Haddock B, Hall ME, Hall Barrientos P, Hermann I, Hockings PD, Lamb HJ, Laustsen C, Lim RP, Morris DM, Ringgaard S, Serai SD, Sharma K, Sourbron S, Takehara Y, Wentland AL, Wolf M, Zöllner FG, Nery

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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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