3d Digital Model
3d Digital Model - Related Videos
10:26
A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
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Cited by 1 •
2023
The objective of this study is to develop a novel 3D digital model of pulmonary nodules that serves as a communication bridge between physicians and patients and is also a cutting-edge tool for pre-diagnosis and prognostic evaluation.
09:17
3D Printing of Biomolecular Models for Research and Pedagogy
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Cited by 29 •
2017
Physical models of biomolecules can facilitate an understanding of their structure-function for the researcher, aid in communication between researchers, and serve as an educational tool in pedagogical endeavors. Here, we provide detailed guidance for the 3D printing of accurate models of biomolecules using fused filament fabrication desktop 3D printers.
09:24
Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics
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Cited by 31 •
2012
We demonstrate controlled pattern transformation of swelling gel tubes by elastic instability. A simple projection micro stereo-lithography setup is built using an off-the-shelf digital data projector to fabricate three-dimensional polymeric structures in a layer-by-layer fashion. Swelling hydrogel tubes under mechanical constraint display various circumferential buckling modes depending on dimension.
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Cited by 9 •
2013
This video describes the fundamentals of digital fringe projection techniques, which provide dense 3D measurements of dynamically changing surfaces. It also demonstrates the design and operation of a high-speed binary defocusing system based on these techniques.
10:09
A Digital Microfluidic Electroporation Platform for Low-Input CRISPR Genome Editing and mRNA Transfection In Suspension T Cells and 3D Cell Models
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2026
This protocol describes miniaturized CRISPR–Cas9 genome editing of TCRα/β receptor in primary human T cells using ‘DMF-ection’, a digital microfluidic (DMF) electroporation platform. The method enables parallel, low-input gene editing with high viability and is further adaptable for mRNA delivery into multicellular 3D spheroids.
FAQs
Segmentation isolates anatomical structures within CT or magnetic resonance imaging data before reconstruction. This step lets the resulting model represent selected anatomy and its spatial relationships instead of presenting the scan only as source data. It also creates the basis for examining structures, taking measurements, and developing patient-specific assessments from the reconstructed representation.
Surface representations emphasize anatomical boundaries and shape, whereas volumetric representations convey the structure as a three-dimensional volume. Both can be reconstructed from segmented imaging data, but they present spatial relationships and measurable features differently. In medical work, either form can support visualization and assessment, depending on how clinicians or researchers need to inspect the anatomy.
Simulation is an optional extension rather than a guaranteed feature. When available, it allows users to examine possible interactions within the reconstructed anatomy, complementing direct rotation, visualization, and measurement. That capability can add context when a clinician or researcher needs to consider how structures relate in space, while the model still supports simpler inspection and communication when no simulation is performed.
The workflow begins with imaging data, such as computed tomography or magnetic resonance scans. Relevant anatomical structures are then segmented, and the selected information is reconstructed into surfaces or volumetric representations. After reconstruction, users can rotate and visualize the result, measure features, and, when supported, simulate interactions. These stages convert imaging information into a form suited to analysis.
They are useful when clinicians or biomedical researchers need a spatial representation of anatomy for planning or design. Surgical teams can visualize patient-specific structures before an intervention, while prosthesis and implant developers can use reconstructed anatomy to inform design decisions. The ability to rotate and measure the model supports clearer examination of anatomical relationships relevant to these tasks.
In medical education, these models provide an interactive way to visualize anatomical structures and their spatial relationships, supporting communication beyond a static description. In biomedical research, they support patient-specific assessment and can inform investigations involving anatomy, measurement, or simulated interactions. Their broader value comes from connecting imaging-derived structure with decision-making and personalized treatment strategies.