Spatial Registration
Spatial 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...
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
07:51
Spatial Cueing
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Attention refers to the limited human ability to select some information for processing at the expense of other stimuli in the environment. Attention operates in all sensory modalities: vision, hearing, touch, even taste and smell. It is most often studied in the visual domain though. A common way to study visual attention is with a spatial cueing paradigm. This paradigm allows researchers to measure the consequences of focusing...
08:13
Spatial Memory Testing Using Mazes
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2023
Spatial learning and memory are neurological functions that allow us to remember important details associated with our environment. Scientists test this phenomenon in rodents using different types of mazes like Morris water maze, Radial water maze, and Barnes maze. By investigating spatial memory in rodents, neurobehavioral scientists can gain valuable understanding of how these processes are altered following brain damage in humans. Here, the neurobiology behind spatial memory is briefly...
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.
FAQs
Rigid, affine, and deformable transformations correct different kinds of mismatch. Rigid adjustments address position and orientation, whereas affine adjustments can also account for scale. Deformable transformations accommodate changes in shape. Choosing among them depends on whether datasets differ mainly in location, size, or anatomy, and determines how precisely corresponding structures can be brought into the same coordinate framework.
Correspondences can be estimated from landmarks, image intensities, or recognizable patterns. Landmarks provide explicit matching points, while intensity or pattern information uses visual characteristics distributed through the datasets. The selected signal affects how the transformation is calculated, especially when images come from different sources or portray anatomy with different visual characteristics. This choice links measurable image information to spatial alignment.
By placing datasets in a common coordinate system, Spatial Registration makes it possible to compare the same anatomical region across examinations or imaging modalities. The aligned result can connect structural information from one dataset with complementary information from another, or reveal how anatomy changes over time. This shared spatial reference is important when localization, comparison, or integration is the goal.
A practical workflow begins by identifying the datasets and the features that should correspond, then selecting landmarks, intensities, or recognizable patterns as the alignment basis. A transformation is estimated and applied to correct differences in position, orientation, scale, or shape. The resulting common coordinate system allows the datasets to be examined together for the intended medical question.
Clinicians and researchers can register MRI, CT, ultrasound, and other medical images to combine their spatial information. This supports localization of pathology and helps relate an imaging finding to anatomical structure. It is particularly useful when one examination supplies information that complements another, allowing integrated interpretation rather than relying on a single image dataset.
In image-guided procedures, aligned datasets can provide a spatial reference for planning and navigation. Registration also supports assessment of treatment response by enabling examinations to be compared over time. These uses extend beyond visual alignment: they connect image coordinates with decisions about intervention, follow-up, and the relationship between observed anatomy and biological structure or function.