7 papers
In Vivo Quantification of Glioma-Induced Solid Stress Using MR Elastography and Deformable Image Registration
Noah Jaitner, Mehrgan Shahryari, Jakob Schattenfroh +13
Solid stress is increasingly being recognized as a key driver of tumor progression and aggressiveness, yet it has not been directly measured in patients so far. Here, we combine mu…
ILPU: Iterative Laplace-Based Phase Unwrapping via Bi-Level Optimization
Michael Fedders, Jakob Schattenfroh, Yanglei Wu +6
Phase unwrapping is an essential preprocessing step for phase-based MRI applications, including susceptibility mapping, field mapping, thermometry, and MR elastography. We present…
Simulation Platform To Evaluate Inversion Techniques For Magnetic Resonance Elastography Data
Yashasvi Verma, Jakob Schattenfroh, Ingolf Sack +3
Magnetic Resonance Elastography (MRE) has become an essential tool in assessing the mechanical properties of soft tissues in-vivo, prompting significant progress in new inversion a…
Crossover Frequency as a Model-Independent Viscoelastic Constant for Soft Tissue Biomechanics
Laura Ruhland, Jing Guo, Ingolf Sack +1
Magnetic resonance elastography (MRE) and related elastography techniques are emerging as quantitative diagnostic tools for assessing tissue microstructure and pathology. To determ…
In Vivo Wideband MR Elastography for Assessing Age-Related Viscoelastic Changes of the Human Brain
Jakob Schattenfroh, Tom Meyer, Hossein S. Aghamiry +10
Magnetic Resonance Elastography (MRE) noninvasively maps brain biomechanics and is highly sensitive to alterations associated with aging and neurodegenerative disease. Most impleme…
MRpro - open PyTorch-based MR reconstruction and processing package
Felix Frederik Zimmermann, Patrick Schuenke, Christoph S. Aigner +12
We introduce MRpro, an open-source image reconstruction package built upon PyTorch and open data formats. The framework comprises three main areas. First, it provides unified data…