Model guided rendering for medical images Public Deposited

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Last Modified
  • March 21, 2019
Creator
  • Merck, Derek
    • Affiliation: College of Arts and Sciences, Department of Computer Science
Abstract
  • High quality 3D medical image visualization has traditionally been restricted to either particular clinical tasks that focus on easily identified or high contrast structures, such as virtual colonoscopy, or to atlas patients such as the Visible Human, which can be painstakingly micro-segmented and rendered offline. Model Guided Rendering (MGR) uses partial image segmentations as a framework for combining information from multiple data sources into a single view, which leads to a variety of methods for synthesizing high quality visualizations that require only a short setup time. Interactively presenting such scenes for particular target patients enables a variety of new clinical applications. MGR draws information about a scene not only from the target medical image but also from segmentations and object models, from medical illustrations and solid textures, from patient photographs, from registration fields, and from other patient images or atlases with information about structures that are hidden in the base modality. These data sources are combined on a region-by-region basis to estimate context-appropriate shading models and to compose a globally useful composition (clipping) for the entire scene. Local mappings are based on segmenting a sparse set of important structures from the scene by deformable shape models with well defined volumetric coordinates, such as the discrete medial representation (m-reps). This partial segmentation provides object coordinates that can be used to guide a variety of fast techniques for oriented solid texturing, color transfer from 2D or 3D sources, volume animation, and dynamic hierarchical importance clipping. The mgrView library computes medial-to-world and world-to-medial mappings and implements many of MGR's methods within a fast rasterize-and-blend rendering core that can render complex scenes in real time on modest hardware. Several vignette views demonstrate how MGR's unique capabilities can lead to important new comprehensions in clinical applications. These views include an interactive anatomic atlas of the head and neck, animated display of the effects of setup error or anatomic shape change on fractionated external beam radiotherapy treatment, and a pharyngoscopic augmentation that overlays planning image guidance information onto the camera view.
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  • In Copyright
Advisor
  • Pizer, Stephen M.
Degree granting institution
  • University of North Carolina at Chapel Hill
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  • Open access
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