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RPMI Festival 2025 Poster Session

Poster Assignment of the RPMI Festival 2025

  • A01 - Poorya MohammadiNasab: A multi-task self-supervised approach for mass detection in automated breast ultrasound
  • A02 - Ines Lopez Martinez: Development of Novel Theranostic Pt(IV)-Complexes for Cancer Imaging
  • A03 - Hannah Jungreuthmayer: Technical aspects of fluoroscopic imaging in radiation oncology
  • A04 - Anna Zöchner: Accelerated mI/tNAA Increase in Normal-Appearing White Matter of RRMS with Paramagnetic Rim Lesions: A 2-Year 7T MRSI Study
  • A05 - Cornelius Cadrien: Extensive IDH and TERT Glioma Infiltration Clusters Detected by 7 Tesla MRSI
  • A06 - Sagar Acharya: Quantitative validation of 7T MRSI in gliomas by targeted mass spectrometry
  • A07 - Julius Arnold: Bidirectional long-short term memory networks for breathing motion prediction during radiotherapy with different prediction horizons
  • A08 - Haniye Shayeste: Segmentation of 7 Tesla Magnetic Resonance Spectroscopic Images of epileptic patients and basic quantitative analysis
  • A09 - Sara Huskić: Preoperative Glioma Characterization: Predicting 5-ALA Fluorescence Using 7T MRSI, Contrast MRI, and PET Imaging
  • A10 - Jennifer Illibauer: Long-CoV is associated with viscoelastic anomalies of blood plasma
  • A11 - Gregor Dörl: Carbon wire loops in MR-compatible EEG caps induce MRI signal artifacts in PET/MR
  • A12 - Eashrat Muniya: GAN-Based Deformable Registration for 3D Brain MRI: Enhancing Preoperative and Intraoperative Alignment
  • A13 - Anna Drechslerová: Interactive Visualization for Optimized Preoperative Neurosurgical Planning
  • A14 - Daphne Resch: Assessment of Early Therapy Response to Neoadjuvant Chemotherapy of Breast Cancer Patients with Multiparametric FDG-PET/MRI: Preliminary Results of the PREDICTOME-Study
  • A15 - Lorenz Pfleger: Intraoperative Magnetic Resonance Spectroscopy Aims at Tracking of Metabolic Changes
  • A16 - Ilva Kristiana Langrate: Promising efficacy of [¹⁷⁷Lu]Lu-PSMA radioligand therapy in hormone treatment-naive metastatic hormone-sensitive prostate cancer patients
  • A17 - Julian Nonninger: Assessment of AI-accelerated T2-weighted brain MRI, based on clinical ratings and image quality evaluation
  • A18 - Julian Helbich: Magnetic resonance imaging (MRI) is a valuable tool in the evaluation of the natural course of intraductal papillary mucinous neoplasm (IPMN)
  • A19 - Clara Krimmel: Fetal Perivascular Spaces (PVS) development in health and disease – An in-vivo MR Study
  • B01 - Sabina Frese: High-resolution dynamic 3D Deuterium Metabolic Imaging of the human brain balanced steady state free precession and concentric ring trajectory readout (bSSFP-CRT) at 7T
  • B02 - Viola Bader: Measuring Lactate in Gray and White Matter of the Healthy Human Brain Using semi-LASER MRSI with Concentric Ring Trajectory sampling at 3T
  • B03 - Siddharth Mittal: Validating run-to-run variability simulations for population receptive fields (pRF) mapping
  • B04 - Christian Schöfer: Aging on the slow and the fast track. Microscopic detection of aging markers in two species with very different lifetimes.
  • B05 - Irena Pashkunova-Martic: Doxorubicin employed as a cargo molecule and bridging ligand for paramagnetic Mn(II) - a smart theranostic tool for magnetic resonance imaging (MRI)
  • B06 - Anna Duguid: Comparison of low-rank denoising methods for dynamic deuterium MRSI at 7T
  • B07 - Lena Zachhuber: First experience of using Hybrid Imaging Methodologies such as PET/CT and PET/MR to study regeneration in Axolotls
  • B08 - Bernardo Campilho: Cross-beam validation of 3D steerable TUS system
  • B09 - Öykü Özer: Identifying Systemic and Brain Metabolic Signatures of Inflammation in Lung Cancer Mice with Whole-Body [18F]FDG PET/CT Imaging
  • B10 - S M Ragib Shahriar Islam: Volume of interest guided source-detector trajectory for dental CBCT field of view expansion
  • B11 - Michael Adam: Fast, Motion-Robust, Multi-Contrast MRI of the Human Brain using Triplanar 2D EPI acquisitions and Super-Resolution Reconstruction
  • B12 - Aaron Osburg: Physics-informed deep autoencoder for dynamic fitting deuterium metabolic imaging data
  • B13 - Isselmou Abdarahmane: Pre-Clinical MRI-based Synthetic CT Generation of the Mouse Brain
  • B14 - Sarah Grosshagauer: E-field-guided intensity adjustment for motion compensation in TMS applications
  • B15 - Veronika Cap: 1H/31P calf coil for magnetic resonance studies of muscle metabolism at 7 T
  • B16 - Bastian Rapp: The multi-loop pile-up array: concept and first validation experiments