Accurately describing interactions between medical devices and anatomical structures, or between anatomical structures themselves, is an essential step towards the adoption of computer-based medical simulation as an alternative to traditional training methods. However, while substantial work has been done in the area of real-time soft tissue modeling, little has been done to study the problem of contacts occurring during tissue manipulation. In this paper we introduce a new method for correctly handling complex contacts between various combination of rigid and deformable objects. Our approach verifies Signorini's law by combining Lagrange multipliers and the status method to solve unilateral constraints. Our method handles both concave and convex surfaces by using a displacement subdivision strategy, and the proposed algorithm allows interactive computation times even in very constrained situations. We demonstrate the efficiency of our approach in the context of interventional radiology, with the navigation of catheters and guidewires in tortuous vessels and with the deployment of coils to treat aneurysms.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/978-3-540-75759-7_103 | DOI Listing |
J Urol
January 2025
Division of Urology, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Purpose: Urinary incontinence (UI) is common in nulliparous female elite athletes, but underlying pathophysiology is inadequately understood. We examined urinary symptoms and associated pelvic floor anatomy and function in this population, hypothesizing that athletes with UI would exhibit pelvic floor findings seen in older incontinent women (e.g.
View Article and Find Full Text PDF3D Print Med
January 2025
Department of Pediatric Cardiology, The Heart Institute, University of Colorado, Children's Hospital Colorado, 13123 E 16th Ave B100, 80045, Aurora, CO, USA.
Background: Despite advancements in imaging technologies, including CT scans and MRI, these modalities may still fail to capture intricate details of congenital heart defects accurately. Virtual 3D models have revolutionized the field of pediatric interventional cardiology by providing clinicians with tangible representations of complex anatomical structures. We examined the feasibility and accuracy of utilizing an automated, Artificial Intelligence (AI) driven, cloud-based platform for virtual 3D visualization of complex congenital heart disease obtained from 3D rotational angiography DICOM images.
View Article and Find Full Text PDFActa Neurochir (Wien)
January 2025
Division of Pediatric Neurosurgery, Department of Neurosurgery, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Up to 40% of intracranial aneurysms arise from the anterior cerebral artery and anterior communicating artery (ACA-ACoA) complex. The vast variability of vessel anomalies and the surrounding critical structures correlate with severe morbidity and mortality rates in case of rupture. In the era of cutting-edge advantages of endovascular procedures, surgical expertise is reducing.
View Article and Find Full Text PDFAnn Bot
January 2025
Institute of Botany, Czech Academy of Sciences, Dukelská 135, 379 01 Třeboň, Czech Republic.
Background And Aims: Understanding interspecific differences in plant growth rates and their internal and external drivers is key to predicting species responses to ongoing environmental changes. Annual growth rates vary among plants based on their ecological preferences, growth forms, ecophysiological adaptations, and evolutionary history. However, the relative importance of these factors remains unclear, particularly in high-mountain ecosystems experiencing rapid changes.
View Article and Find Full Text PDFIncreasing variability down serially segmented structures, such as mammalian molar teeth and vertebrate limb segments, is a much-replicated pattern. The same phenotypic pattern has conflicting interpretations at different evolutionary scales. Macroevolutionary patterns are thought to reflect greater evolutionary potential in later-forming segments, but microevolutionary patterns are thought to reflect less evolutionary potential and greater phenotypic plasticity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!