3d smooth function Search Results


3d smooth function  (MathWorks Inc)
90
MathWorks Inc 3d smooth function
3d Smooth 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
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isosurface function  (MathWorks Inc)
90
MathWorks Inc isosurface function
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
Isosurface 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
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Average 90 stars, based on 1 article reviews
isosurface function - by Bioz Stars, 2026-03
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3d 9x9x9 spatial gaussian filter  (MathWorks Inc)
90
MathWorks Inc 3d 9x9x9 spatial gaussian filter
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
3d 9x9x9 Spatial Gaussian Filter, 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/result/3d 9x9x9 spatial gaussian filter/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
3d 9x9x9 spatial gaussian filter - by Bioz Stars, 2026-03
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3d gaussian filter imgaussfilt3  (MathWorks Inc)
90
MathWorks Inc 3d gaussian filter imgaussfilt3
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
3d Gaussian Filter Imgaussfilt3, 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
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Average 90 stars, based on 1 article reviews
3d gaussian filter imgaussfilt3 - by Bioz Stars, 2026-03
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3d gaussian filter  (MathWorks Inc)
90
MathWorks Inc 3d gaussian filter
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
3d Gaussian Filter, 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/result/3d gaussian filter/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
3d gaussian filter - by Bioz Stars, 2026-03
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3d smoothing function  (MathWorks Inc)
90
MathWorks Inc 3d smoothing function
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
3d Smoothing 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/result/3d smoothing function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
3d smoothing function - by Bioz Stars, 2026-03
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3d blur function smooth3  (MathWorks Inc)
90
MathWorks Inc 3d blur function smooth3
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
3d Blur Function Smooth3, 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/result/3d blur function smooth3/product/MathWorks Inc
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3d blur function smooth3 - by Bioz Stars, 2026-03
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simulink s-function  (MathWorks Inc)
90
MathWorks Inc simulink s-function
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
Simulink S 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/result/simulink s-function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
simulink s-function - by Bioz Stars, 2026-03
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matlab function interp1  (MathWorks Inc)
90
MathWorks Inc matlab function interp1
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
Matlab Function Interp1, 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
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3d scanners 2014  (ARTEC CO LTD)
90
ARTEC CO LTD 3d scanners 2014
Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's <t>isosurface</t> function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.
3d Scanners 2014, supplied by ARTEC CO LTD, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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3d scanners 2014 - by Bioz Stars, 2026-03
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Image Search Results


Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's isosurface function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.

Journal:

Article Title: ?CT-Based Measurement of Cortical Bone Graft-to-Host Union

doi: 10.1359/JBMR.081232

Figure Lengend Snippet: Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's isosurface function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.

Article Snippet: A smoothed 3D shell is generated from the contours using MATLAB's isosurface function (E).

Techniques: Generated