Strittmatter A, Zöllner FG. Multistep Networks for Deformable Multimodal Medical Image Registration. IEEE Access, 2024, 12, pp.82676-82692. DOI: 10.1109/ACCESS.2024.3412216 Publisher: IEEE Abstract: We proposed neural networks for deformable multimodal medical image registration that use multiple steps and varying resolutions. The networks were trained jointly in an unsupervised manner with Mutual Information and Gradient L2 loss.
... weiter lesenVellala A, Mogler C, Haag F, Tollens F, Rudolf H, Pietsch F, Wängler C, Wängler B, Schoenberg SO, Froelich MF, Hertel A. Comparing quantitative image parameters between animal and clinical CT-scanners: a translational phantom study analysis. Front Med (Lausanne). 2024 Jun 5;11:1407235. doi: 10.3389/fmed.2024.1407235. Abstract Purpose: This study compares phantom-based variability of extracted radiomics features
... weiter lesenC. D. Wörnle, R. Lutz, L. Kuntz, J. Stallkamp, M. Siegfarth, Heidelberg University, Mannheim (DE) [ISCAS-LE-59-V].A rapid calibration pipeline for robotic percutaneous interventions – how a prototype learned to be accurate.CARS 2024—Computer Assisted Radiology and Surgery. Proceedings of the 38th International Congress and Exhibition. Barcelona, Spain, June 18–21, 2024. doi: 10.1007/s11548-024-03128-9
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Anish Raj, Fabian Tollens, Anna Caroli, Dominik Nörenberg, Frank G. Zöllner. Automated prognosis of renal function decline in ADPKD patients using deep learning. Zeitschrift für Medizinische Physik,. Volume 34, Issue 2, 2024, Pages 330-342. doi:10.1016/j.zemedi.2023.08.001 Abstract An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is crucial for early intervention.
... weiter lesenEbner R, Lohse A, Fabritius MP, Rübenthaler J, Wängler C, Wängler B, Schirrmacher R, Völter F, Schmid HP, Unterrainer LM, Öcal O, Hinterberger A, Spitzweg C, Auernhammer CJ, Geyer T, Ricke J, Bartenstein P, Holzgreve A, Grawe F. Validation of the standardization framework SSTR-RADS 1.0 for neuroendocrine tumors using the novel SSTR‑targeting peptide [18F]SiTATE. Eur
... weiter lesenSparks H, Rink JS, Ramakrishnan A, Sung K, Ni J, Lu DSK, Raman SS, Lee EW, Chiang J. Characterization of Microwave Generator Energy and Ablation Volumes following Transarterial Embolization in an In Vivo Porcine Liver Model. J Vasc Interv Radiol. 2024 May 14:S1051-0443(24)00339-7. doi: 10.1016/j.jvir.2024.05.005. Abstract Purpose: To characterize the relationship between ablation zone volume
... weiter lesenStrittmatter A, Schad LR, Zöllner FG. Deep Learning-Based Affine Medical Image Registration for Multimodal Minimal-Invasive Image-Guided Interventions – A Comparative Study on Generalizability. Z Med Phys, 2024, 34 (2), pp.291-317. 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 recent
... weiter lesenHaag F, Hertel A, Tharmaseelan H, Kuru M, Haselmann V, Brochhausen C, Schönberg SO, Froelich MF. Imaging-based characterization of tumoral heterogeneity for personalized cancer treatment. Rofo. 2024 Mar;196(3):262-272. English. doi: 10.1055/a-2175-4622. Epub 2023 Nov 9. Erratum in: Rofo. 2023 Dec 28;: PMID: 37944935. Abstract With personalized tumor therapy, understanding and addressing the heterogeneity of malignant
... weiter lesenÖzdemir S, Ilicak E, Zapp J, Schad LR, Zöllner FG. Feasibility of undersampled spiral trajectories in MREPT for fast conductivity imaging. Magn Reson Med, 2024, 91 (4), pp.1567-1575 PMID: 38044757DOI: 10.1002/mrm.29952 Abstract Purpose: To investigate spiral-based imaging including trajectories with undersampling as a fast and robust alternative for phase-based magnetic resonance electrical properties tomography (MREPT)
... weiter lesenSadi, F.; Holthausen, J.; Stallkamp, J.; Siegfarth, M. Development of Novel Hydraulic 3D Printed Actuator Using Electrorheological Fluid for Robotic Endoscopy. Actuators 2024, 13, 119. https://doi.org/10.3390/act13040119 Abstract Endoscopy has made a significant and noteworthy contribution to the field of medical science and technology. Nevertheless, its potential remains constrained due to the limited availability of rigid
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