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Showing 1 to 9 of 9 for “"3D Slicer"”.

  1. Method for acute Neuropixels probe recordings in non-human primates

    … was developed using a combination of CAD design, 3D printing, and small part machining. Software programs, 3D Slicer and SolidWorks were used to target cortical areas, approximate recording depths and locations, and for in-silico implant testing. Finally, we performed in vivo testing to validate …

    umn Repository record for Method for acute Neuropixels probe recordings in non-human primates (opens in a new tab)

  2. Multi-probe robotic positioner for cryoablation in MRI

    … actuate the system. A prototype was built from 3D printed ABS plastic as a proof of concept. Bench level evaluation demonstrated that each component of the device performs according to the design specifications. The device performance was characterized by analyzing still images taken before and …

    mit Repository record for Multi-probe robotic positioner for cryoablation in MRI (opens in a new tab)

  3. Software for Designing Custom Orbital-Craniofacial Implant Plans

    … implant plan. The software was designed using 3D Slicer, an open-source medical visualization platform. It was tested on CT data from thirteen patients. Results: The average time it took to create a skull model with restored anatomy using our software was 0.33 hours ± 0.04 STD. In comparison, …

    queens Repository record for Software for Designing Custom Orbital-Craniofacial Implant Plans (opens in a new tab)

  4. A Depth-Guided Annotation Tool for B-Line Quantification in Lung Ultrasound

    … module for structured LUS annotation within the 3D Slicer platform. The tool introduces a standardized sector-based annotation schema and a visual depth guide to reduce subjectivity in pleural B-line coverage estimation. A human-centered design process, informed by iterative clinical feedback, …

    queens Repository record for A Depth-Guided Annotation Tool for B-Line Quantification in Lung Ultrasound (opens in a new tab)

  5. Fractional Labelmap Representation of Anatomical Structures

    … in the open-source medical imaging platform 3D Slicer, and the SlicerRT toolkit. Voxel size was found to affect DVH accuracy for structures with small features or in regions with a high dose gradient. The planar contour to closed surface triangulation algorithm produced qualitatively good …

    queens Repository record for Fractional Labelmap Representation of Anatomical Structures (opens in a new tab)

  6. Quantitative Texture Analysis and Automated Segmentation of Patellar Tendon Sonographic Images on Collegiate Athletes

    … analysis of the images was performed using 3D Slicer specifically Radiomics which gives 107 parameters containing first order (16 including mean, median, variance, etc.), second or higher order parameters (Gray level co-occurrence matrix (glcm), Gray level dependence matrix (gldm), Gray …

    vt Repository record for Quantitative Texture Analysis and Automated Segmentation of Patellar Tendon Sonographic Images on Collegiate Athletes (opens in a new tab)

  7. Effects of Elevated Intracranial Pressure on a Cerebral Vein Model

    … of an intracranial vessel. Using the software 3D Slicer, the skull was extracted and exported as an STL file. From there, a segment of a diploic vein was isolated and edited by importing the STL into Blender. The segment was then processed using MeshLab and Blender to make it a solid geometry …

    vt Repository record for Effects of Elevated Intracranial Pressure on a Cerebral Vein Model (opens in a new tab)

  8. Applications of Machine Learning to Neuroimage Analysis in Cerebral Small Vessel Disease

    … for segmenting the LSAs and quantifying their 3D morphology from time-of-flight magnetic resonance angiography (TOF-MRA). A two-staged approach was adopted: in the vessel segmentation stage, three leading DL and non-DL segmentation methods were evaluated, namely the DS6 DL model, the nnU-Net DL …

    cambridge Repository record for Applications of Machine Learning to Neuroimage Analysis in Cerebral Small Vessel Disease (opens in a new tab)

  9. Image Segmentation, Parametric Study, and Supervised Surrogate Modeling of Image-based Computational Fluid Dynamics

    With the recent advancement of computation and imaging technology, Image-based computational fluid dynamics (ICFD) has emerged as a great non-invasive capability to study biomedical flows. These modern technologies increase the potential of computation-aided diagnostics and therapeutics in a …

    iupui Repository record for Image Segmentation, Parametric Study, and Supervised Surrogate Modeling of Image-based Computational Fluid Dynamics (opens in a new tab)