Volume Registration
Volume Registration - 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...
10:59
Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
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Cited by 10 •
2014
We present an image registration approach for 3-dimensional (3D) histology volume reconstruction, which facilitates the study of the changes of an organ at the level of macrostructures made up of cells . Using this approach, we studied the 3D changes between wild-type and Igfbp7-null mammary glands.
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.
02:41
Constant Volume Calorimetry
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2020
Calorimeters are useful to determine the heat released or absorbed by a chemical reaction. Coffee cup calorimeters are designed to operate at constant (atmospheric) pressure and are convenient to measure heat flow (or enthalpy change) accompanying processes that occur in solution at constant pressure. A different type of calorimeter that operates at constant volume, colloquially known as a bomb calorimeter, is used to measure the energy produced by reactions that yield large amounts of heat and...
01:17
Density and Volume
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2025
Density and VolumeDensity and volume are important properties that help us understand the nature of matter. Volume measures the amount of space an object occupies, while density describes how much mass is in a given volume. These concepts explain why some objects float while others sink and how different materials behave in various environments.Science and Engineering Practices (SEP): Developing and Using ModelsYou can explore density and volume by creating models that demonstrate these...
FAQs
The transformation model controls how the registration algorithm represents motion between volumes. It may estimate rigid, affine, or deformable motion, depending on the spatial relationship that must be modeled. This choice is important because the estimated transformation determines how corresponding anatomy is brought into a common framework for image fusion, temporal comparison, and quantitative analysis.
Optimization uses a similarity measure to judge how well the datasets correspond under a candidate transformation. The algorithm adjusts the transformation while seeking improved agreement between the image volumes. This measurement step is central to registration because it links the mathematical search to anatomical correspondence, helping place complementary structures or changing features in a shared spatial framework.
Resampling converts the transformed dataset into the coordinate arrangement of the reference volume. Rather than stopping after estimating motion, the workflow uses the transformation to generate an aligned volume that can be examined with the reference. This step makes registration practically useful for combining CT, MRI, or PET information and comparing image-derived features.
A typical volume registration workflow begins with two image volumes, estimates a transformation, optimizes a similarity measure, and resamples one dataset onto the other. The resulting aligned volumes can then support assessment or analysis. In medical work, this sequence creates a common spatial basis without treating the original CT, MRI, or PET datasets as if they already shared coordinates.
Multimodal registration is useful when each scan contributes different anatomical or complementary information. Aligning CT, MRI, and PET volumes allows those features to be considered in the same spatial framework rather than separately. In medicine, this supports image fusion and can improve anatomical assessment by relating findings from different imaging sources.
For scans collected over time, registration supports comparison by placing changing anatomy in corresponding coordinates. This temporal use can help distinguish spatial differences caused by misalignment from changes that are actually present in the patient’s anatomy. The same aligned datasets may support treatment planning, image-guided procedures, and quantitative analysis, where consistent spatial correspondence is important.