Surface Registration Technique
Surface Registration Technique - Related Videos
01:27
Shelf Registration
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2026
Shelf registration is an essential tool for companies to raise capital flexibly and efficiently. It is a provision by the Securities and Exchange Commission (SEC) that enables companies to file a single registration for securities they intend to issue over time rather than all at once. This process offers multiple advantages.Flexibility and Convenience: Shelf registration allows companies to issue securities in phases per market conditions and funding needs rather than raising all capital at...
10:14
Automated Robotic Dispensing Technique for Surface Guidance and Bioprinting of Cells
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Cited by 9 •
2016
This protocol describes a bioprinting methodology using an automated robotic depositing system that incorporates etched topographical guidance cues with the precision deposition of a cell bearing hydrogel bioink. The printed cells are directly delivered to the etched features and are able to sense and orientate with them.
10:25
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Cited by 30 •
2019
Provided here is a practical tutorial for an open-access, standardized image processing pipeline for the purpose of lesion-symptom mapping. A step-by-step walkthrough is provided for each processing step, from manual infarct segmentation on CT/MRI to subsequent registration to standard space, along with practical recommendations and illustrations with exemplary cases.
05:05
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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Cited by 11 •
2019
We analyzed joint kinematics from four-dimensional computed tomography data. The sequential 3D-3D registration method semiautomatically provides the kinematics of the moving bone with respect to the subject bone from four-dimensional computed tomography data.
07:13
Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Cited by 1 •
2023
The combination of multiple imaging modalities is often necessary to gain a comprehensive understanding of pathophysiology. This approach utilizes phantoms to generate a differential transformation between the coordinate systems of two modalities, which is then applied for co-registration. This method eliminates the need for fiducials in production scans.
FAQs
The selected transformation determines which geometric differences the alignment can explain. Translation and rotation adjust position and orientation, while scaling accommodates size changes. Nonlinear deformation can represent more complex shape differences. Choosing an overly simple transformation may leave important mismatch, whereas a more flexible one can better relate surfaces with changing anatomy or other nonuniform geometric variation.
Correspondence identifies which regions or features on one surface should be compared with regions on another. This relationship guides estimation of the spatial transformation and helps the computational process distinguish meaningful anatomical similarity from unrelated geometry. Reliable correspondence supports more accurate comparison of shape, position, structural change, and fit across meshes or point clouds.
Nonlinear deformation becomes relevant when surfaces differ through shape changes that translation, rotation, or uniform scaling cannot capture. This distinction matters when relating anatomical data collected at different times or through different imaging modalities, because the observed geometry may not maintain a simple fixed relationship. The resulting alignment can support more informative assessment of structural change.
A typical workflow begins with two or more three-dimensional surface representations, such as meshes or point clouds, and identifies a reference coordinate system. The technique then establishes feature correspondence and estimates a transformation that reduces geometric mismatch. The aligned surfaces can subsequently be compared or integrated for interpretation, fit assessment, modeling, or navigation-related tasks.
By relating scans collected at separate time points to a common coordinate system, registration enables corresponding anatomy to be examined together. The comparison can reveal changes in structural shape or position while reducing differences caused by how each scan was spatially oriented. In bioengineering, this supports quantitative assessment of evolving patient-specific geometry.
In surgical navigation, aligned anatomical surfaces help connect patient-specific geometry with spatial information needed to interpret anatomy during a procedure. For prosthesis design, registration supports assessment of how a proposed device or modeled geometry relates to the relevant surface. These applications use the resulting correspondence and fit information to improve interpretation and design decisions.