2014
DOI: 10.1117/1.jbo.19.1.016007
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Computational segmentation of collagen fibers from second-harmonic generation images of breast cancer

Abstract: Second-harmonic generation (SHG) imaging can help reveal interactions between collagen fibers and cancer cells. Quantitative analysis of SHG images of collagen fibers is challenged by the heterogeneity of collagen structures and low signal-to-noise ratio often found while imaging collagen in tissue. The role of collagen in breast cancer progression can be assessed post acquisition via enhanced computation. To facilitate this, we have implemented and evaluated four algorithms for extracting fiber information, s… Show more

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Cited by 320 publications
(347 citation statements)
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“…25 CT-FIRE was designed to compute the overall alignment of collagen fibers as well as individual length, straightness, and width. These fiber features were chosen because they appear to be altered in many cancer types compared with normal tissue counterparts.…”
Section: Computational Collagen Fiber Segmentation and Quantificationmentioning
confidence: 99%
“…25 CT-FIRE was designed to compute the overall alignment of collagen fibers as well as individual length, straightness, and width. These fiber features were chosen because they appear to be altered in many cancer types compared with normal tissue counterparts.…”
Section: Computational Collagen Fiber Segmentation and Quantificationmentioning
confidence: 99%
“…In this study, we systematically imaged collagen in tissue regions from 92 pancreatic cancer patients using PSR with a standard polarization widefield microscope followed by subsequent SHG imaging and then quantified collagen properties from both sets of data using well-established software tools for collagen quantification. 29,30 Pancreatic cancer was decided on as a rational cancer model because it remains one of the most deadly human malignancies and has been the subject of recent studies correlating collagen organization to disease progression. 31 In addition, in the context of the tumor microenvironment, an extreme collagen-rich stromal response is a hallmark of pancreatic cancer and can account for up to 90% of the tumor mass.…”
Section: Research-article2016mentioning
confidence: 99%
“…CT-FIRE fiber analysis software 30 (http://loci.wisc.edu/software/ctfire) was then applied to the SHG and PSR-POL images using default settings after thresholding background (20-255 for SHG, 5-255 for PSR-POL). Quantitative information computed by CT-FIRE for each image type included the individual fiber metrics of length, width, and straightness.…”
Section: Fiber Segmentation and Measurementmentioning
confidence: 99%
“…Because the tail is threedimensional and angled, for visualization and analyses sum projections of the image z-stacks were generated in FIJI (Schindelin et al, 2012). Sum projections were analyzed for fiber width using CT-FIRE software (Bredfeldt et al, 2014; 2. CT-FIRE | LOCI, available at http://loci.wisc.…”
Section: Shg Imaging and Processingmentioning
confidence: 99%