gaussian filter applied post reconstruction Search Results


90
SCANCO USA INC constrained 3d gaussian low pass filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Constrained 3d Gaussian Low Pass Filter, supplied by SCANCO USA 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/gaussian+filter+applied+post+reconstruction/gaussian+filter/bio_rxiv__2021__01__05__425223-55-8-24
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99
Oxford Instruments gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gaussian+filter+applied+post+reconstruction/Imaris/pm37399385-290-8-14
Average 99 stars, based on 1 article reviews
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Danaher Inc gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter, supplied by Danaher Inc, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gaussian+filter+applied+post+reconstruction/Filter/pmc09782131-80-26-31
Average 99 stars, based on 1 article reviews
gaussian filter - by Bioz Stars, 2026-11
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90
National Institute of Standards and Technology xspect/ct quant
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Xspect/Ct Quant, supplied by National Institute of Standards and Technology, 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/gaussian+filter+applied+post+reconstruction/xspect+ct+quant/pm39545930-24-8-33
Average 90 stars, based on 1 article reviews
xspect/ct quant - by Bioz Stars, 2026-11
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90
Siemens AG scatter correction [dual energy window method (dew)]
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Scatter Correction [Dual Energy Window Method (Dew)], supplied by Siemens AG, 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/gaussian+filter+applied+post+reconstruction/scatter+correction++dual+energy+window+method++dew++/pmc07461964-31-22-5
Average 90 stars, based on 1 article reviews
scatter correction [dual energy window method (dew)] - by Bioz Stars, 2026-11
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90
wavemetrics inc igor pro version 5.04b
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Igor Pro Version 5.04b, supplied by wavemetrics 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/gaussian+filter+applied+post+reconstruction/igor+pro+8/pmc03474714-93-10-14
Average 90 stars, based on 1 article reviews
igor pro version 5.04b - by Bioz Stars, 2026-11
90/100 stars
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90
MetaMorph Inc 3 × 3 gaussian low pass filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
3 × 3 Gaussian Low Pass Filter, supplied by MetaMorph 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/gaussian+filter+applied+post+reconstruction/low+pass+filter/pmc02699158-208-15-41
Average 90 stars, based on 1 article reviews
3 × 3 gaussian low pass filter - by Bioz Stars, 2026-11
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93
Genovis Inc gaussian filtering operator
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filtering Operator, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gaussian+filter+applied+post+reconstruction/OpeRATOR+Lyophilized/pm40595195-133-24-26
Average 93 stars, based on 1 article reviews
gaussian filtering operator - by Bioz Stars, 2026-11
93/100 stars
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90
BEX Co Ltd kalman filter-based gaussian process
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Kalman Filter Based Gaussian Process, supplied by BEX 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
https://www.bioz.com/product/gaussian+filter+applied+post+reconstruction/kalman+filter+based+gaussian+process/10__3991_slash_ijoe__v14i08__8536-312-16-38
Average 90 stars, based on 1 article reviews
kalman filter-based gaussian process - by Bioz Stars, 2026-11
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90
PMOD Technologies gaussian smoothing kernel
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Smoothing Kernel, supplied by PMOD Technologies, 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/gaussian+filter+applied+post+reconstruction/gaussian+blurring/pmc07468842-66-8-12
Average 90 stars, based on 1 article reviews
gaussian smoothing kernel - by Bioz Stars, 2026-11
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90
VELOX GmbH gaussian blur
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Blur, supplied by VELOX GmbH, 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/gaussian+filter+applied+post+reconstruction/gaussian+blur/10__1016_slash_j__est__2024__114198-67-26-31
Average 90 stars, based on 1 article reviews
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90
wavemetrics inc gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter, supplied by wavemetrics 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/gaussian+filter+applied+post+reconstruction/gaussian+filter/pmc02590633-135-17-22
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Image Search Results


Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Journal: bioRxiv

Article Title: Large-scale quantification of human osteocyte lacunar morphological biomarkers as assessed by ultra-high-resolution desktop micro-computed tomography

doi: 10.1101/2021.01.05.425223

Figure Lengend Snippet: Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Article Snippet: Preprocessing of each image consisted of a constrained 3D Gaussian low pass filter (σ=0.8, support =1) to reduce noise and was applied using IPL (Scanco Medical AG, Brüttisellen, Switzerland).

Techniques: Selection, Micro-CT