3d Tomographic Imaging
3d Tomographic Imaging - Related Videos
11:06
3D Printing of Preclinical X-ray Computed Tomographic Data Sets
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Cited by 16 •
2013
Using modern plastic extrusion and printing technologies, it is now possible to quickly and inexpensively produce physical models of X-ray CT data taken in a laboratory. The three -dimensional printing of tomographic data is a powerful visualization, research, and educational tool that may now be accessed by the preclinical imaging community.
07:57
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
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2017
A methodology is described herein for representing anatomical imaging data within crystals. We create scaled three-dimensional models of biomedical imaging data for use in Sub-Surface Laser Engraving (SSLE) of crystal glass. This tool offers a useful complement to computational display or three-dimensionally printed models used within clinical or educational settings.
08:41
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Cited by 11 •
2012
Lensfree optical tomography is a three-dimensional microscopy technique that offers a spatial resolution of <1 μm × <1 μm × <3 μm in x, y and z dimensions, respectively, over a large imaging-volume of 15-100 mm3, which can be particularly useful for integration with lab-on-a-chip platforms.
08:57
High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
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Cited by 13 •
2011
Non-destructive volume visualization can be achieved only by tomographic techniques, of which the most efficient is the x-ray micro computerized tomography ( CT).
09:41
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
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Cited by 19 •
2016
We describe the steps to use our custom designed software for image integration, visualization and planning in epilepsy surgery.
FAQs
The scanner collects projections or other signal data from multiple angles around the object or body region. Reconstruction algorithms then combine these measurements to calculate cross-sectional slices, which can be assembled into a three-dimensional volume. This computational step transforms separate observations into a spatial representation that allows internal structures and their relationships to be examined together.
Different viewing angles provide complementary information about internal anatomy and other structures. Combining these measurements helps the reconstruction process distinguish where features are located within the body region rather than displaying them only as overlapping signals. The resulting volume can show spatial relationships that may be difficult to assess when information is available from a single direction.
Cross-sectional slices provide localized views through the reconstructed volume, allowing individual regions to be examined in sequence. Three-dimensional rendering adds a broader spatial perspective by displaying structures together within their surrounding anatomy. Using both views supports interpretation of lesions, vascular structures, and anatomical relationships that may not be fully apparent in conventional two-dimensional images.
Conventional two-dimensional images can make internal structures overlap or obscure their spatial arrangement. Tomographic reconstruction instead provides cross-sectional information that can be reviewed as a volume and rendered in three dimensions. This distinction is especially relevant when clinicians need to assess the position of a lesion, vascular structure, or anatomical feature relative to surrounding tissues.
A typical workflow begins with scanner acquisition of projections or other signal data around the selected object or body region. Reconstruction algorithms process those measurements into cross-sectional slices, and the slices are then assembled or rendered as a three-dimensional volume. The resulting images can be examined for anatomy, lesions, vascular structures, and spatial relationships.
Medical teams can apply the approach to diagnosis, treatment planning, image-guided procedures, and quantitative research. Its value comes from revealing internal anatomy and spatial relationships without physically sectioning tissue. The reconstructed volume may help characterize lesions or vascular structures, support planning around their locations, and provide information for research measurements of three-dimensional anatomy.