Kroniek rechtspraak strafrecht

Mevis, P.A.M.; Postma, L.

doi:10.5553/tvgr/016508742020044001005

Cited by 2 publications

(3 citation statements)

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“…These programs focus only on medical images neglecting function or perfusion calculation of the liver as well as the individual material behavior. To successfully design a planned operation in advance, programs can be applied to provide a three-dimensional reconstruction of the human anatomy from patient data using virtual reality (Reitinger et al, 2006;Soler et al, 2014) or image segmentation (Schenk et al, 1999;MeVis, 2020). In order to account for changes in the surgical requirements, additional effects such as deformations (Oshiro et al, 2015), material behavior (Marchesseau et al, 2010), and hemodynamics (Rutkowski et al, 2018) can also be taken into consideration.…”

Section: Computational Models In Clinical Practicementioning

confidence: 99%

Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review

et al. 2021

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MRI-based biomechanical studies can provide a deep understanding of the mechanisms governing liver function, its mechanical performance but also liver diseases. In addition, comprehensive modeling of the liver can help improve liver disease treatment. Furthermore, such studies demonstrate the beginning of an engineering-level approach to how the liver disease affects material properties and liver function. Aimed at researchers in the field of MRI-based liver simulation, research articles pertinent to MRI-based liver modeling were identified, reviewed, and summarized systematically. Various MRI applications for liver biomechanics are highlighted, and the limitations of different viscoelastic models used in magnetic resonance elastography are addressed. The clinical application of the simulations and the diseases studied are also discussed. Based on the developed questionnaire, the papers' quality was assessed, and of the 46 reviewed papers, 32 papers were determined to be of high-quality. Due to the lack of the suitable material models for different liver diseases studied by magnetic resonance elastography, researchers may consider the effect of liver diseases on constitutive models. In the future, research groups may incorporate various aspects of machine learning (ML) into constitutive models and MRI data extraction to further refine the study methodology. Moreover, researchers should strive for further reproducibility and rigorous model validation and verification.

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Section: Computational Models In Clinical Practicementioning

confidence: 99%

Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review

et al. 2021

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“…All measurements are performed with a single sequence implemented into the vendor-independent gammaSTAR framework (Fraunhofer MEVIS) 32,33 with dedicated pauses between measurements to avoid frequency adjustments between successive experiments with/without the metasurfaces, see also the methods section. To investigate the de-tuning behavior and to separate effects on the Tx and Rx fields, 10 measurements with equidistant nominal flip angles between 0 and 90 degrees are recorded to determine the Ernst angle, i.e., the flip angle leading to a maximal SNR.…”

Section: Magnetic Resonance Images and Validationmentioning

confidence: 99%

“…We use gradient echo sequences with the following parameters (if not stated otherwise in figure captions): T R = {100ms, 1s}, T E = 5 ms, field-of-view = {64 × 64, 128 × 128} mm 2 , matrix size = 128 × 128, bandwidth = 250 Hz/Px, eight slices with thickness of 5 mm and distance of 15 mm. These sequences are implemented into the unique, vendor-independent gammaSTAR framework (Fraunhofer MEVIS) 32,33 , which offers exceptional flexibility in sequence design and is optimally suited for MTM characterization as shown here. It also allows, in principle, to repeat our analysis with MRI systems from different vendors.…”

Section: Manufacturing On-bench Measurements and Mri Scansmentioning

confidence: 99%

Improving Magnetic Resonance Imaging with Smart and Thin Metasurfaces

Stoja,

Konstandin,

Philipp

et al. 2021

Preprint

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Over almost five decades of development and improvement, Magnetic Resonance Imaging (MRI) has become a rich and powerful, non-invasive technique in medical imaging, yet not reaching its physical limits. Technical and physiological restrictions constrain physically feasible developments. A common solution to improve imaging speed and resolution is to use higher field strengths, which also has subtle and potentially harmful implications. However, patient safety is to be considered utterly important at all stages of research and clinical routine. Here we show that dynamic metamaterials are a promising solution to expand the potential of MRI and to overcome some limitations. A thin, smart, non-linear metamaterial is presented that enhances the imaging performance and increases the signal-to-noise ratio in 3T MRI significantly (up to eightfold), whilst the transmit field is not affected due to self-detuning and, thus, patient safety is also assured. This self-detuning works without introducing any additional overhead related to MRI-compatible electronic control components or active (de-)tuning mechanisms. The design paradigm, simulation results, on-bench characterization, and MRI experiments using homogeneous and structural phantoms are described. The suggested single-layer, non-linear metasurface paves the way for conformal and patient-specific manufacturing, which was not possible before due to typically bulky and rigid metamaterial structures.

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Kroniek rechtspraak strafrecht

Abstract: In de vorige Kroniek rechtspraak strafrecht (TvGR 2016, nr. 1) bespraken wij de rechtsontwikkelingen, in het bijzonder de relevante rechtspraak, tot en met 1 december 2015. In deze Kroniek staan de belangrijkste ontwikkelingen vanaf die datum tot en met 31 augustus 2017 centraal.

Cited by 2 publications

References 0 publications

Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review

Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review

Improving Magnetic Resonance Imaging with Smart and Thin Metasurfaces

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