ArticlePloS one2017
Polarization image segmentation of radiofrequency ablated porcine myocardial tissue.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 25 citations in OpenAlex.
- Assessment of tissue pathology using optical polarimetry.Lasers in medical science · 2022Article
- Isolating individual polarization effects from the Mueller matrix: comparison of two non-decomposition techniques.Biomedical optics express · 2021Article
- Mueller polarimetric imaging for fast macroscopic mapping of microscopic collagen matrix remodeling by smooth muscle cells.Scientific reports · 2021Article
- Microstructural deformation observed by Mueller polarimetry during traction assay on myocardium samples.Scientific reports · 2020Article
- Real-time co-localized OCT surveillance of laser therapy using motion corrected speckle decorrelation.Biomedical optics express · 2020Article
- A multiscale Mueller polarimetry module for a stereo zoom microscope.Biomedical engineering letters · 2019Article
- Quantifying optical properties with visible and near-infrared optical coherence tomography to visualize esophageal microwave ablation zones.Biomedical optics express · 2018Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
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Abstract
Optical polarimetry has previously imaged the spatial extent of a typical radiofrequency ablated (RFA) lesion in myocardial tissue, exhibiting significantly lower total depolarization at the necrotic core compared to healthy tissue, and intermediate values at the RFA rim region. Here, total depolarization in ablated myocardium was used to segment the total depolarization image into three (core, rim and healthy) zones. A local fuzzy thresholding algorithm was used for this multi-region segmentation, and then compared with a ground truth segmentation obtained from manual demarcation of RFA core and rim regions on the histopathology image. Quantitative comparison of the algorithm segmentation results was performed with evaluation metrics such as dice similarity coefficient (DSC = 0.78 ± 0.02 and 0.80 ± 0.02), sensitivity (Sn = 0.83 ± 0.10 and 0.91 ± 0.08), specificity (Sp = 0.76 ± 0.17 and 0.72 ± 0.17) and accuracy (Acc = 0.81 ± 0.09 and 0.71 ± 0.10) for RFA core and rim regions, respectively. This automatic segmentation of parametric depolarization images suggests a novel application of optical polarimetry, namely its use in objective RFA image quantification.
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