2013
DOI: 10.1007/978-3-642-38899-6_36
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A Semi-automatic Approach for Segmentation of Three-Dimensional Microscopic Image Stacks of Cardiac Tissue

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Cited by 18 publications
(18 citation statements)
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“…1). 27 We then determined eigenvectors and eigenvalues (|λ 1 |≥|λ 2 |≥|λ 3 |) 28 and calculated cross-section circularity, defined as ratio of the two minor eigenvalues |λ 3 /λ 2 |, utilizing a published algorithm based on gradient vector flow. 29 All t-system and RyR measures were first averaged per image and subsequently per sample, resulting in one numerical value per measure and patient used for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…1). 27 We then determined eigenvectors and eigenvalues (|λ 1 |≥|λ 2 |≥|λ 3 |) 28 and calculated cross-section circularity, defined as ratio of the two minor eigenvalues |λ 3 /λ 2 |, utilizing a published algorithm based on gradient vector flow. 29 All t-system and RyR measures were first averaged per image and subsequently per sample, resulting in one numerical value per measure and patient used for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The segmented WGA signal was used to segment each cardiomyocyte by means of a watershed-based method as described previously. 34 This method created labeled segments for each volume enclosed by WGA signal. At first, we identified myocytes.…”
Section: Methodsmentioning
confidence: 99%
“…The resulting image volumes (Fig. 6) can be utilized in functional models by applying appropriate segmentation techniques [24] to determine cell coupling patterns in normal WKY tissue and fibrotic SHR tissue. Healthy tissue has been shown to have an average of 11 myocytes connected to 1 myocyte [25].…”
Section: Discussionmentioning
confidence: 99%
“…We extend tools and techniques [11,12] that have previously been used to characterize 3D cardiac structure at a range of scales and outline their application to relating fibrosis to heart rhythm disturbance.…”
Section: Introductionmentioning
confidence: 99%