linear interpolation function interp Search Results


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MathWorks Inc linear interpolation function interp2
Linear Interpolation Function Interp2, 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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MathWorks Inc matlab function interp1
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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MathWorks Inc piecewise-linear polynomial function
Piecewise Linear Polynomial 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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MathWorks Inc interp3
Interp3, 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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MathWorks Inc 2d linear interpolation interp2.m
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
2d Linear Interpolation Interp2.M, 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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BIOPAC acknowledge 4.1 software
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
Acknowledge 4.1 Software, supplied by BIOPAC, 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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MathWorks Inc linear 2d interpolation included in the matlab r2015b software package
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
Linear 2d Interpolation Included In The Matlab R2015b Software Package, 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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MathWorks Inc interp1(‘linear’) function
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
Interp1(‘Linear’) 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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MathWorks Inc linear interpolation method
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
Linear Interpolation Method, 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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MathWorks Inc one-dimensional linear interpolation function interp1
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
One Dimensional Linear Interpolation 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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MathWorks Inc interp3 routine
Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by <t>2D</t> spatial <t>interpolation</t> (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.
Interp3 Routine, 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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Image Search Results


Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by 2D spatial interpolation (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.

Journal: IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Article Title: Improved Super-Resolution Ultrasound Microvessel Imaging with Spatiotemporal Nonlocal Means Filtering and Bipartite Graph-Based Microbubble Tracking

doi: 10.1109/TUFFC.2017.2778941

Figure Lengend Snippet: Processes of microbubble localization. (a) shows an example of a local region of the microbubble data, followed by 2D spatial interpolation (b), normalized 2D cross-correlation with the derived system PSF (c), cross-correlation coefficient thresholding (d), and finally identifying microbubble center locations by searching local maximum correlation coefficient. (e) shows an example of the localization indicated by the red crosses. (f) shows a zoomed-in image of a microbubble signal and (g) shows the derived PSF signal based on (f). (h) shows one example of the microbubble localization result on the full FOV data.

Article Snippet: The data was then spatially interpolated to 0.02 mm resolution using 2D linear interpolation (the “interp2.m” function in Matlab), as shown in .

Techniques: Derivative Assay