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pcregistericp matlab function  (MathWorks Inc)


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    MathWorks Inc pcregistericp matlab function
    Pcregistericp Matlab Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pcregistericp+function+of/pmc08450790-94-2-3
    Average 90 stars, based on 1 article reviews
    pcregistericp matlab function - by Bioz Stars, 2026-11
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    other:

    Article Title: EMVision: An electromagnetic tracking guidance system for accurate placement of interstitial brachytherapy applicators.
    Article Snippet: PURPOSE: To design, construct, and evaluate a system for image-guided placement of brachytherapy applicators using electromagnetic tracking (EMT) technology for improved procedure quality and efficiency.. The system, named EMVision, provides a three-dimensional display of planned needle sites, visibility of the anatomy and needle position during placement, and reference tracking to account for generator or target anatomy shifts.. METHODS: The EMVision EMT guidance system registers CT and EMT reference frames using an automated point-based algorithm according to tandem/ovoid locations.

    Article Title: Automated three-dimensional analysis of facial asymmetry in patients with syndromic coronal synostosis: A retrospective study.
    Article Snippet: The rigid registration algorithm originated from the Matlab method ‘pcregistericp’ (https://nl.mathworks.com/help/vis ion/ref/pcregistericp.html).

    Article Title: On the value of an EM tracking quality assurance system for pretreatment verification of needle digitization accuracy in ultrasound-based prostate HDR brachytherapy.
    Article Snippet: PURPOSE: To develop and deploy an electromagnetic (EM) tracking-based platform for pretreatment, patient-specific quality assurance of brachytherapy applicator digitization, with the goals of intercepting human errors and quantifying treatment planning dose uncertainties.. METHODS: An EM tracking platform, EMQA, was developed for patient-specific quality assurance of HDR treatment plan needle reconstructions.. EMQA compared needle geometry between a manually digitized clinical HDR treatment plan and EM-tracked positions.

    Derivative Assay:

    Article Title: Dynamic tracking of scaphoid, lunate, and capitate carpal bones using four-dimensional MRI
    Article Snippet: .. Registration of dynamic to static point clouds derived from the OHIF RTStruct DICOM segmentation outputs was performed in MATLAB [ ] using its iterative-closest-point registration function, pcregistericp . ..

    Transformation Assay:

    Article Title: Three‐dimensional shape‐conformation performances of wound dressings tested in a robotic sacral pressure ulcer phantom
    Article Snippet: .. Using the ‘pcregistericp’ MATLAB function, we transformed the RR coordinates of the dressing to best‐fit the location of the wound coordinates in this region and calculated the transformation matrix. ..



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    Matching of the 3D segmentation obtained from the cadaver’s head CT scan and the data obtained from manual scanning of the cadaver’s head forehead and nose skin using an EM sensor using the <t>pcregistericp()</t> function of Matlab. ( a ) frontal view; ( b ) lateral view; ( c ) top view.
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    FIGURE 2 Workflow of the MATLAB program for active marrow dose calculation of radiotherapy patients.

    Journal: Medical physics

    Article Title: A novel method for rapid estimation of active bone marrow dose for radiotherapy patients in epidemiological studies.

    doi: 10.1002/mp.17118

    Figure Lengend Snippet: FIGURE 2 Workflow of the MATLAB program for active marrow dose calculation of radiotherapy patients.

    Article Snippet: The downsampling and ICP algorithm were implemented by using the pcdownsample and pcregistericp MATLAB functions (available in Computer Vision ToolboxTM).

    Techniques:

    Matching of the 3D segmentation obtained from the cadaver’s head CT scan and the data obtained from manual scanning of the cadaver’s head forehead and nose skin using an EM sensor using the pcregistericp() function of Matlab. ( a ) frontal view; ( b ) lateral view; ( c ) top view.

    Journal: Scientific Reports

    Article Title: A miniature robotic steerable endoscope for maxillary sinus surgery called PliENT

    doi: 10.1038/s41598-022-05969-3

    Figure Lengend Snippet: Matching of the 3D segmentation obtained from the cadaver’s head CT scan and the data obtained from manual scanning of the cadaver’s head forehead and nose skin using an EM sensor using the pcregistericp() function of Matlab. ( a ) frontal view; ( b ) lateral view; ( c ) top view.

    Article Snippet: The transformation matrix between the point cloud and the data acquired from the EM sensor was found using the pcregistericp() function of Matlab (MathWorks, Massachusetts, USA), which register two point clouds using an ICP algorithm.

    Techniques: Computed Tomography