Marker Registration
Marker Registration - Related Videos
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.
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...
10:25
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.
09:38
Multiplexed Immunofluorescence Assay for Spatial Assessment of Senescence Markers in vivo
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2026
Multiplexed immunofluorescence enables sequential labeling of multiple antibody markers within a single tissue section to support spatial analysis of tissue architecture and cell populations. Here, a workflow for multiplex detection of senescence-associated, structural, and immune markers is presented, including manual and automated slide preparation, iterative imaging, and single-cell analysis using digital pathology software.
FAQs
The process compares corresponding anatomical or fiducial markers identified in each image or between an image and the patient. Their image coordinates provide reference points for estimating a transformation, which may include translations, rotations, or more complex deformations. Applying that transformation places the datasets within a shared spatial frame, allowing structures represented in different sources to be related consistently.
The estimated transformation depends on where corresponding markers are identified and how clearly they appear. Inaccurate localization can shift the reference points used by the registration algorithm, while poor image quality can make landmarks difficult to detect or align. Consequently, the quality of marker identification and the source images directly affect the reliability of measurements, image fusion, and guidance.
Marker registration can estimate simple changes such as translation and rotation, or it can represent more complex deformations when the corresponding anatomy or marker configuration requires them. These transformation types provide different ways to match datasets in space. Selecting an appropriate representation matters because the resulting alignment must reflect the spatial relationship being studied rather than merely placing images near one another.
A typical workflow identifies corresponding anatomical or fiducial markers, records their locations as image coordinates or physical reference points, and supplies those correspondences to a registration algorithm. The algorithm estimates the transformation needed to align the datasets or relate an image to the patient. The resulting shared spatial reference can then support measurement, comparison, or clinical guidance.
Registration places information from different medical imaging sources into a common spatial reference. This alignment allows clinicians to relate anatomical or fiducial landmarks across modalities and use the combined information for image fusion. In treatment planning, the shared positioning helps connect imaging findings with the anatomical location relevant to planning decisions, while accuracy remains dependent on marker localization and image quality.
For surgical navigation, registration relates image coordinates to the patient’s physical position, helping connect preoperative or other imaging information with the anatomy encountered during guidance. In follow-up, it aligns examinations or anatomical references across time so clinicians can compare corresponding regions. These uses depend on maintaining a reliable spatial relationship between the images, markers, and patient.