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3d surface mesh models  (Geomagic Inc)

 
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    Structured Review

    Geomagic Inc 3d surface mesh models
    Bone Surface D istance Repeatability Analysis Pipeline. (A) To assess bone surface repeatability, two DESS MRI scans from a single participant are inputted into the trained tibia and femur segmentation models. (B) The trained models predict the tibia and femur masks. (C) The outer contours from the predicted masks are extracted and reconstructed into <t>3D</t> models <t>using</t> <t>Geomagic</t> Studio 11 (3D Systems; Research Triangle Park, North Carolina). (D) The tibia and femur models from Scan 1 and Scan 2 are aligned using an iterative closest point technique . (E) Bone surface distances in the x-, y-, and z-directions are calculated between the two scans across all regions of interest . M ​= ​medial and L ​= ​lateral.
    3d Surface Mesh Models, supplied by Geomagic 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/result/3d surface mesh models/product/Geomagic Inc
    Average 90 stars, based on 1 article reviews
    3d surface mesh models - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Tibiofemoral cartilage strain and recovery following a 3-mile run measured using deep learning segmentation of bone and cartilage"

    Article Title: Tibiofemoral cartilage strain and recovery following a 3-mile run measured using deep learning segmentation of bone and cartilage

    Journal: Osteoarthritis and Cartilage Open

    doi: 10.1016/j.ocarto.2024.100556

    Bone Surface D istance Repeatability Analysis Pipeline. (A) To assess bone surface repeatability, two DESS MRI scans from a single participant are inputted into the trained tibia and femur segmentation models. (B) The trained models predict the tibia and femur masks. (C) The outer contours from the predicted masks are extracted and reconstructed into 3D models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). (D) The tibia and femur models from Scan 1 and Scan 2 are aligned using an iterative closest point technique . (E) Bone surface distances in the x-, y-, and z-directions are calculated between the two scans across all regions of interest . M ​= ​medial and L ​= ​lateral.
    Figure Legend Snippet: Bone Surface D istance Repeatability Analysis Pipeline. (A) To assess bone surface repeatability, two DESS MRI scans from a single participant are inputted into the trained tibia and femur segmentation models. (B) The trained models predict the tibia and femur masks. (C) The outer contours from the predicted masks are extracted and reconstructed into 3D models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). (D) The tibia and femur models from Scan 1 and Scan 2 are aligned using an iterative closest point technique . (E) Bone surface distances in the x-, y-, and z-directions are calculated between the two scans across all regions of interest . M ​= ​medial and L ​= ​lateral.

    Techniques Used:

    Bone and Cartilage 3D Model Reconstruction Pipeline. (A) Each DESS MRI scan is inputted into the 4 trained segmentation models, and binary masks are outputted for each of the 4 tissues. (B) Visualization of the predicted bone and cartilage masks overlaid on the original DESS MRI scan. (C) Mask contours are extracted, converted into point clouds, and reconstructed into 3D surface mesh models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). Tan color indicates the tibia and femur, while green indicates the tibial and femoral cartilage.
    Figure Legend Snippet: Bone and Cartilage 3D Model Reconstruction Pipeline. (A) Each DESS MRI scan is inputted into the 4 trained segmentation models, and binary masks are outputted for each of the 4 tissues. (B) Visualization of the predicted bone and cartilage masks overlaid on the original DESS MRI scan. (C) Mask contours are extracted, converted into point clouds, and reconstructed into 3D surface mesh models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). Tan color indicates the tibia and femur, while green indicates the tibial and femoral cartilage.

    Techniques Used:



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    Bone Surface D istance Repeatability Analysis Pipeline. (A) To assess bone surface repeatability, two DESS MRI scans from a single participant are inputted into the trained tibia and femur segmentation models. (B) The trained models predict the tibia and femur masks. (C) The outer contours from the predicted masks are extracted and reconstructed into <t>3D</t> models <t>using</t> <t>Geomagic</t> Studio 11 (3D Systems; Research Triangle Park, North Carolina). (D) The tibia and femur models from Scan 1 and Scan 2 are aligned using an iterative closest point technique . (E) Bone surface distances in the x-, y-, and z-directions are calculated between the two scans across all regions of interest . M ​= ​medial and L ​= ​lateral.
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    Image Search Results


    Bone Surface D istance Repeatability Analysis Pipeline. (A) To assess bone surface repeatability, two DESS MRI scans from a single participant are inputted into the trained tibia and femur segmentation models. (B) The trained models predict the tibia and femur masks. (C) The outer contours from the predicted masks are extracted and reconstructed into 3D models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). (D) The tibia and femur models from Scan 1 and Scan 2 are aligned using an iterative closest point technique . (E) Bone surface distances in the x-, y-, and z-directions are calculated between the two scans across all regions of interest . M ​= ​medial and L ​= ​lateral.

    Journal: Osteoarthritis and Cartilage Open

    Article Title: Tibiofemoral cartilage strain and recovery following a 3-mile run measured using deep learning segmentation of bone and cartilage

    doi: 10.1016/j.ocarto.2024.100556

    Figure Lengend Snippet: Bone Surface D istance Repeatability Analysis Pipeline. (A) To assess bone surface repeatability, two DESS MRI scans from a single participant are inputted into the trained tibia and femur segmentation models. (B) The trained models predict the tibia and femur masks. (C) The outer contours from the predicted masks are extracted and reconstructed into 3D models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). (D) The tibia and femur models from Scan 1 and Scan 2 are aligned using an iterative closest point technique . (E) Bone surface distances in the x-, y-, and z-directions are calculated between the two scans across all regions of interest . M ​= ​medial and L ​= ​lateral.

    Article Snippet: Bone and Cartilage 3D Model Reconstruction Pipeline. (A) Each DESS MRI scan is inputted into the 4 trained segmentation models, and binary masks are outputted for each of the 4 tissues. (B) Visualization of the predicted bone and cartilage masks overlaid on the original DESS MRI scan. (C) Mask contours are extracted, converted into point clouds, and reconstructed into 3D surface mesh models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina).

    Techniques:

    Bone and Cartilage 3D Model Reconstruction Pipeline. (A) Each DESS MRI scan is inputted into the 4 trained segmentation models, and binary masks are outputted for each of the 4 tissues. (B) Visualization of the predicted bone and cartilage masks overlaid on the original DESS MRI scan. (C) Mask contours are extracted, converted into point clouds, and reconstructed into 3D surface mesh models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). Tan color indicates the tibia and femur, while green indicates the tibial and femoral cartilage.

    Journal: Osteoarthritis and Cartilage Open

    Article Title: Tibiofemoral cartilage strain and recovery following a 3-mile run measured using deep learning segmentation of bone and cartilage

    doi: 10.1016/j.ocarto.2024.100556

    Figure Lengend Snippet: Bone and Cartilage 3D Model Reconstruction Pipeline. (A) Each DESS MRI scan is inputted into the 4 trained segmentation models, and binary masks are outputted for each of the 4 tissues. (B) Visualization of the predicted bone and cartilage masks overlaid on the original DESS MRI scan. (C) Mask contours are extracted, converted into point clouds, and reconstructed into 3D surface mesh models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina). Tan color indicates the tibia and femur, while green indicates the tibial and femoral cartilage.

    Article Snippet: Bone and Cartilage 3D Model Reconstruction Pipeline. (A) Each DESS MRI scan is inputted into the 4 trained segmentation models, and binary masks are outputted for each of the 4 tissues. (B) Visualization of the predicted bone and cartilage masks overlaid on the original DESS MRI scan. (C) Mask contours are extracted, converted into point clouds, and reconstructed into 3D surface mesh models using Geomagic Studio 11 (3D Systems; Research Triangle Park, North Carolina).

    Techniques: