Adaptive local thresholding for detection of nuclei in diversity stained cytology images

Phansalkar, Neerad; More, Sumit S.; Sabale, Ashish; Joshi, Madhuri S.

doi:10.1109/iccsp.2011.5739305

Cited by 215 publications

(158 citation statements)

References 6 publications

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“…The first step of this analysis was thresholding the image with the Phansalkar method (radius of 15 pixels), a specifically designed automated local thresholding algorithm for low-contrast images. 35 This process was obtained by importing OCT-angiograms in FIJI, an available for free imaging software (expanded version of ImageJ, Version 1.51h; Wayne Rasband, National Institute of Health, Bethesda, MD, USA). The thresholded images were then analyzed with the Analyze Particles FIJI tool, which measured and computed all areas greater or equal to 1 pixel where there was flow (decorrelated pixels) information.…”

Section: Oct-angiography System Setupmentioning

confidence: 99%

Choroidal Vascular Reactivity in Central Serous Chorioretinopathy

Piccolino

Lupidi

Cagini

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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METHODS. For this multicenter, observational, case-control study, we enrolled 35 patients with an established diagnose of CSCR and 25 age-matched healthy controls. All subjects underwent a handgrip isometric exercise to obtain elevation of blood pressure (BP). In the resting phase and during the physical effort, macular OCT-angiograms were acquired. Systemic hemodynamic data were recorded at baseline and during stress conditions using an electronic sphygmomanometer. The analysis of vascular density (VD) of the choriocapillaris (CC) was performed on OCT-angiograms. The results obtained in CSCR patients, both at baseline and during the stress test, were compared with those of healthy subjects. RESULTS.Baseline and under stress values of systolic BP, diastolic BP, and mean arterial pressure were significantly higher (P < 0.05) in CSCR patients compared to controls, reaching values in the range of hypertension during the exercise. Baseline VD values of the CC were significantly lower (P < 0.05) in CSCR cases compared to healthy subjects. We noticed a significant increase (P < 0.05) in these values under stress condition in CSCR patients and not in controls.CONCLUSIONS. The present study suggests that choroidal blood flow is dysregulated in CSCR. During physical stress, CSCR patients easily reach critical values of BP that are not dampened by compensatory mechanisms in the choroidal vessels, as it happens in healthy subjects. The CC in CSCR could be particularly vulnerable to variations of systemic hemodynamics.

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Section: Oct-angiography System Setupmentioning

confidence: 99%

Choroidal Vascular Reactivity in Central Serous Chorioretinopathy

Piccolino

Lupidi

Cagini

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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“…Despite mimicking phenotypic manifestations of late-onset RPE atrophy, distinct differences . 46,47 The area of RPE atrophy (highlighted in green) was excluded from the analysis. The dot plot shows the log-log size-frequency distribution of the areas of AFS for the three exemplary images and the linear regression lines.…”

Section: Discussionmentioning

confidence: 99%

Choroidal Flow Signal in Late-Onset Stargardt Disease and Age-Related Macular Degeneration: An OCT-Angiography Study

Müller

Pfau

Möller

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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PURPOSE. To investigate the choroidal blood flow in areas within and adjacent to retinal pigment epithelium (RPE) atrophy secondary to late-onset Stargardt disease (STGD1) and agerelated macular degeneration (AMD). METHODS.A total of 43 eyes (23 STGD1 and 20 AMD) of patients with RPE atrophy and 25 eyes of healthy controls without ocular pathology underwent multimodal imaging including optical coherence tomography angiography (OCT-A; PLEX Elite 9000 Swept-Source OCT). Using an exploratory approach, choriocapillaris and deeper choroid OCT-A slabs were evaluated in order to detect differences between STGD1 and AMD. The magnitude of absenceof-flow signal (AFS) was investigated in terms of area-fraction and size-frequency distribution. RESULTS.Qualitative and quantitative analysis of areas of RPE atrophy revealed more pronounced rarefaction of the choriocapillaris flow signal in STGD1 as compared to AMD (AFS area fraction: 33.15% 6 6.86% vs. 31.68% 6 8.39%; P ¼ 0.517), while outside RPE atrophy rarefaction was less pronounced in STGD1 (AFS area fraction: 17.41% 6 5.67% vs. 21.59% 6 6.90%; P < 0.001), to the level of nonsignificance compared to controls (13.27% 6 2.99%, P ¼ 0.368). Given this discrepancy, the ratio of the AFS area fraction within/outside of RPE atrophy could be used to differentiate between STGD1 and AMD with 65.0% sensitivity and 92.3% specificity. CONCLUSIONS.Using OCT-A, comparison of choroidal flow signal within and outside the area of RPE atrophy revealed distinct differences between STGD1 and AMD, potentially implicating a differential role of the choroid in the pathogenesis of RPE atrophy in these two diseases.

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“…Generally, a square window of radius r W centered at point p ∈ Ω is used [22]- [26], [49]. However, while simple and fast, this type of window presents several drawbacks.…”

Section: B Estimation Windowmentioning

confidence: 99%

Adaptive Spot Detection With Optimal Scale Selection in Fluorescence Microscopy Images

Basset

Boulanger

Salamero

et al. 2015

IEEE Trans. on Image Process.

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Accurately detecting subcellular particles in fluorescence microscopy is of primary interest for further quantitative analysis such as counting, tracking, or classification. Our primary goal is to segment vesicles likely to share nearly the same size in fluorescence microscopy images. Our method termed adaptive thresholding of Laplacian of Gaussian (LoG) images with autoselected scale (ATLAS) automatically selects the optimal scale corresponding to the most frequent spot size in the image. Four criteria are proposed and compared to determine the optimal scale in a scale-space framework. Then, the segmentation stage amounts to thresholding the LoG of the intensity image. In contrast to other methods, the threshold is locally adapted given a probability of false alarm (PFA) specified by the user for the whole set of images to be processed. The local threshold is automatically derived from the PFA value and local image statistics estimated in a window whose size is not a critical parameter. We also propose a new data set for benchmarking, consisting of six collections of one hundred images each, which exploits backgrounds extracted from real microscopy images. We have carried out an extensive comparative evaluation on several data sets with ground-truth, which demonstrates that ATLAS outperforms existing methods. ATLAS does not need any fine parameter tuning and requires very low computation time. Convincing results are also reported on real total internal reflection fluorescence microscopy images.

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Adaptive local thresholding for detection of nuclei in diversity stained cytology images

Cited by 215 publications

References 6 publications

Choroidal Vascular Reactivity in Central Serous Chorioretinopathy

Choroidal Vascular Reactivity in Central Serous Chorioretinopathy

Choroidal Flow Signal in Late-Onset Stargardt Disease and Age-Related Macular Degeneration: An OCT-Angiography Study

Adaptive Spot Detection With Optimal Scale Selection in Fluorescence Microscopy Images

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