Publikationen


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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Automated Screening for Abdominal Aortic Aneurysm in CT Scans under Clinical Conditions Using Deep Learning

17.11.2021

Golla AK, Tönnes C, Russ T, Bauer DF, Froelich MF, Diehl SJ, Schoenberg SO, Keese M, Schad LR, Zöllner FG, Rink JS. Automated Screening for Abdominal Aortic Aneurysm in CT Scans under Clinical Conditions Using Deep Learning. Diagnostics (Basel). 2021 Nov 17;11(11):2131. doi: 10.3390/diagnostics11112131. PMID: 34829478; PMCID: PMC8621263. DOI: 10.3390/diagnostics11112131 Abstract Abdominal aortic aneurysms (AAA)

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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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Spatial Probabilistic Mapping of Metabolite Ensembles in Mass Spectrometry Imaging

28.10.2021

Sammour, Denis Abu, et al. „Spatial Probabilistic Mapping of Metabolite Ensembles in Mass Spectrometry Imaging.“ bioRxiv (2021). https://doi.org/10.1101/2021.10.27.466114 Posted: 28 October 2021 Abstract Mass spectrometry imaging (MSI) vows to enable simultaneous spatially-resolved investigation of hundreds of metabolites in tissue sections, but it still relies on poorly defined ion images for data interpretation. Here, we outline moleculaR, a

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