Background: The representation of different anatomical structures requires varying imaging modalities and protocols. By mental composition of single-slice images, a three-dimensional (3D) impression can be achieved. However, this presupposes an outstanding imagination and is subject to inaccuracies. The use of an interactive and multi-modal planning system which represents different data sets in one single virtual environment holds promise to facilitate and improve neurosurgical decision-making. The authors report the clinical application of a self-developed virtual planning system in a case of trigeminal neuralgia due to an ectatic basilar artery.
Material/methods: We modified our virtual planning system (VIVENDI), to achieve a virtual representation of the basal cistern illustrating both vascular and neuronal information. After conducting several experiments to determine an appropriate scanning protocol, we matched the data achieved by magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA).
Results: The system provides the vascular topography combined with information on the anatomical structure of the subarachnoid space. To illustrate the clinical usefulness of this planning approach, the authors present a case of trigeminal neuralgia caused by an ectatic basilar artery. Pre-operatively, the virtual representation returned accurate information on the anatomical configuration of the cerebellopontine angle and the course of the ectatic vessel. This information was confirmed during surgery.
Conclusions: The presented case demonstrates the clinical applicability of VIVENDI within the subarachnoid space of the basal cistern. The virtual representation enables pre-operative planning and simulation based on the patient's individual anatomy.
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J Acoust Soc Am
January 2025
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, People's Republic of China.
A complex-valued neural process method, combined with modal depth functions (MDFs) of the ocean waveguide, is proposed to reconstruct the acoustic field. Neural networks are used to describe complex Gaussian processes, modeling the distribution of the acoustic field at different depths. The network parameters are optimized through a meta-learning strategy, preventing overfitting under small sample conditions (sample size equals the number of array elements) and mitigating the slow reconstruction speed of Gaussian processes (GPs), while denoising and interpolating sparsely distributed acoustic field data, generating dense field data for virtual receiver arrays.
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AAU Energy, Aalborg University, Esbjerg, Denmark.
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January 2025
Institute for X-ray Physics, Georg-August University Göttingen, Friedrich-Hund-Platz 1, 37077, Göttingen, Germany.
Imaging the entire cardiomyocyte network in entire small animal hearts at single cell resolution is a formidable challenge. Optical microscopy provides sufficient contrast and resolution in 2d, however fails to deliver non-destructive 3d reconstructions with isotropic resolution. It requires several invasive preparation steps, which introduce structural artefacts, namely dehydration, physical slicing and staining, or for the case of light sheet microscopy also clearing of the tissue.
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January 2025
Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology, Kaiserstraße 12, 76131, Karlsruhe, Germany.
Results of scientific work in chemistry can usually be obtained in the form of materials and data. A big step towards transparency and reproducibility of the scientific work can be gained if scientists publish their data in research data repositories in a FAIR manner. Nevertheless, in order to make chemistry a sustainable discipline, obtaining FAIR data is insufficient and a comprehensive concept that includes preservation of materials is needed.
View Article and Find Full Text PDFJ Clin Psychol
January 2025
Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Treatment efficacy for patients with obsessive-compulsive disorder (OCD) with poor insight is low. Insight refers to a patient's ability to recognize that their obsessions are irrational and that their compulsions are futile attempts to reduce anxiety. This case study presents the first application of virtual reality-assisted avatar therapy for OCD (VRT-OCD) in a patient with contamination OCD and ambivalent insight.
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