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- 实验方案
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Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)
摘要： PURPOSE. We determined if the Bruch’s membrane opening (BMO) location changes over time in healthy eyes and eyes with progressing glaucoma, and validated an automated segmentation algorithm for identifying the BMO in Cirrus high-definition coherence tomography (HD-OCT) images. METHODS. We followed 95 eyes (35 progressing glaucoma and 60 healthy) for an average of 3.7 6 1.1 years. A stable group of 50 eyes had repeated tests over a short period. In each B-scan of the stable group, the BMO points were delineated manually and automatically to assess the reproducibility of both segmentation methods. Moreover, the BMO location variation over time was assessed longitudinally on the aligned images in 3D space point by point in x, y, and z directions. RESULTS. Mean visual field mean deviation at baseline of the progressing glaucoma group was (cid:2)7.7 dB. Mixed-effects models revealed small nonsignificant changes in BMO location over time for all directions in healthy eyes (the smallest P value was 0.39) and in the progressing glaucoma eyes (the smallest P value was 0.30). In the stable group, the overall intervisit–intraclass correlation coefficient (ICC) and coefficient of variation (CV) were 98.4% and 2.1%, for the respectively, automated algorithm for the manual segmentation and 98.1% and 1.9%, respectively, CONCLUSIONS. Bruch’s membrane opening location was stable in normal and progressing glaucoma eyes with follow-up between 3 and 4 years indicating that it can be used as reference point in monitoring glaucoma progression. The BMO location estimation with Cirrus HD-OCT using manual and automated segmentation showed excellent reproducibility.
关键词： BMO location variation,glaucoma,automated segmentation,reference plane
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE 27th Asian Test Symposium (ATS) - Hefei, China (2018.10.15-2018.10.18)] 2018 IEEE 27th Asian Test Symposium (ATS) - Test Diagnosis of Digital Microfluidic Biochips Using Image Segmentation
摘要： Digital micro?uidic biochip has been developed as a promising alternative to the traditional approach of benchtop laboratory tests. Dependability is an important biochemical attribute for micro?uidic biochips that are used for safety-critical applications, such as point-of-care health assessment, air-quality monitoring, and food-safety testing. Therefore, the robust of?ine and online test techniques are required after manufacturing and during bioassay operations. In this work, we are presenting an image segmentation based testing methodology to detect the catastrophic faults and to locate the faulty cells. The design-for diagnosability scheme is proposed, and it is shown that faults can be located and tolerated by providing alternative paths in biochips. Moreover this testing method also facilitates the testing of a biochip with other bioassay operations running concurrently.
关键词： fault models,CCD,Biochip,electrowetting,image segmentation,test time
更新于2025-09-04 15:30:14
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A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus Images
摘要： In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy is integrated into the image matting model for blood vessel segmentation. Normally the matting models require a user specified trimap, which separates the input image into three regions: the foreground, background and unknown regions. However, creating a user specified trimap is laborious for vessel segmentation tasks. In this paper, we propose a method that first generates trimap automatically by utilizing region features of blood vessels, then applies a hierarchical image matting model to extract the vessel pixels from the unknown regions. The proposed method has low calculation time and outperforms many other state-of-art supervised and unsupervised methods. It achieves a vessel segmentation accuracy of 96.0%, 95.7% and 95.1% in an average time of 10.72s, 15.74s and 50.71s on images from three publicly available fundus image datasets DRIVE, STARE, and CHASE DB1, respectively.
关键词： hierarchical strategy,segmentation,fundus,trimap,vessel,region features,Image matting
更新于2025-09-04 15:30:14
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Higher order image structure enables boundary segmentation in the absence of luminance or contrast cues
摘要： Lower order image statistics, which can be described by an image’s Fourier energy content, enable segmentation when they are different on either side of a boundary. We have previously demonstrated that the spatial distribution of the energy in an image (described by its higher order statistics or structure) could influence segmentation thresholds for contrast- and orientation-defined boundaries, even though it was the same on either side of the boundary and thus task irrelevant (Zavitz & Baker, 2013). Here we examined whether higher order statistics can also enable segmentation when boundaries are defined by differences in structure or density of texture elements. We used micropattern-based naturalistic synthetic textures to manipulate the sparseness, global phase alignment, and local phase alignment of carrier textures and measured segmentation thresholds based on forced-choice judgments of boundary orientation. We found that both global phase structure and sparseness, but not local phase alignment, enable segmentation and that local structure also has a small effect on segmentation thresholds in both cases. Simulations of a two-stage filter model with a compressive intermediate nonlinearity can reproduce the major features of the experimental data, segmenting boundaries defined by higher order statistics alone while capturing the influence of global image structure on segmentation thresholds.
关键词： texture,segmentation,filter rectify filter,second order
更新于2025-09-04 15:30:14
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Automated Analysis of Vitreous Inflammation Using Spectral-Domain Optical Coherence Tomography
摘要： Purpose: To develop an automated method for quantifying vitreous signal intensity on optical coherence tomography (OCT), with particular application for use in the assessment of vitreous inflammation. Methods: This retrospective, observational case-control series comprised 30 patients (30 eyes), with vitreous haze secondary to intermediate, posterior, or panuveitis; 12 patients (12 eyes) with uveitis without evidence of vitreous haze; and 18 patients (18 eyes) without intraocular inflammation or vitreoretinal disease. The presence and severity of vitreous haze was classified according to the National Eye Institute system; other inflammatory indices and clinical parameters were also documented. Spectral-domain OCT images were analyzed using custom VITreous ANalysis software (termed ‘VITAN’), which is fully automated and avoids the need for manual segmentation. Results: VITAN performed accurate segmentation in all scans. Automated measurements of the vitreous:retinal pigment epithelium (RPE) signal ratio showed a moderate correlation with clinical vitreous haze scores (r ? 0.585, P , 0.001), comparable to that reported using manual segmentation in our previous study (r ? 0.566, P ? 0.0001). The novel parameter of vitreous:RPE textural ratio showed a marginally stronger correlation (r ? 0.604, P , 0.001) with clinical vitreous haze scores than the Vitreous:RPE signal ratio. Conclusions: The custom OCT image analysis software (VITAN) allows rapid and automated measurement of vitreous parameters, that is comparable to our previously reported vitreous:RPE index, and correlates with clinically measured disease activity. Such OCT-based indices may provide the much needed objective markers of vitreous activity, which may be used in both clinical assessment, and as outcome measures in clinical trials for intermediate, posterior, and panuveitis.
关键词： optical coherence tomography,vitreous inflammation,uveitis automated segmentation
更新于2025-09-04 15:30:14
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[IEEE 2018 24th International Conference on Pattern Recognition (ICPR) - Beijing, China (2018.8.20-2018.8.24)] 2018 24th International Conference on Pattern Recognition (ICPR) - Dynamic Projected Segmentation Networks For Hand Pose Estimation
摘要： Hand pose estimation in depth images is a challenging problem for human-computer interaction. In this paper, we propose a novel approach for hand pose estimation that shares the merits of both deep learning based hand segmentation and dynamics based pose optimization. For hand segmentation, we propose 'Dynamic Projected Segmentation Networks' applied at depth images, providing a pixel-wise classification result. To preserve the detailed hand-region topology structure, we design a dynamic projection based hand-region extraction method to crop the hand region from depth images. The projected hand-region is then fed into a light-weight 'Encoder-Decoder Networks' for segmentation. For pose optimization, we employ rigid body dynamics to estimate the final pose based on the segmentation results which are treated as hand geometry constraints. Experiments show that our approach outperforms state-of-the-art methods on two challenging datasets.
关键词： deep learning,image segmentation,hand pose estimation
更新于2025-09-04 15:30:14
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[IEEE 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) - Beijing (2018.8.19-2018.8.20)] 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) - A Novel Ship Segmentation Method Based on Kurtosis Test in Complex-Valued SAR Imagery
摘要： Traditional ship segmentation methods in synthetic aperture radar (SAR) imagery are mainly based on the intensity/amplitude information and cannot take fully advantage of the complex information in SAR imagery. This paper proposes a novel ship segmentation method based on kurtosis test in the complex-valued SAR imagery. It can take benefit of the complex information of the SAR imagery. The segmentation rationale is that sea clutter usually obey a Gaussian distribution while ship targets usually obey a sup-Gaussian distribution. Thus, their kurtosis can be different. Kurtosis is invariant with respect to location shift and positive scale changes. It follows that kurtosis of sea clutter remains approximately constant while the amplitude decreases with the incidence angle increasing. Preliminary experimental results based on Gaofen-3 and Sentinel-1 data show that the proposed method can achieve good performance.
关键词： synthetic aperture radar (SAR),ship segmentation,kurtosis test,Gaussianity,complex-valued
更新于2025-09-04 15:30:14
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Iterative reconstruction with segmentation penalty for PET
摘要： Segmentation technique is widely accepted to reduce noise propagation from transmission scanning for positron emission tomography. The conventional routine is to sequentially perform reconstruction and segmentation. A smoothness penalty is also usually used to reduce noise, which can be imposed to both the ML and WLS estimators. In this paper we replace the smoothness penalty by a segmentation penalty that biases the object toward piecewise-homogeneous reconstruction. Two updating algorithms are developed to solve the penalized ML and WLS estimates, which monotonically decrease the cost functions. Experimental results on simulated phantom and real clinical data were both given to demonstrate the effectiveness and efficiency of the algorithms which were proposed.
关键词： space alternating descent,auxiliary function,fuzzy c-means clustering (FCM),Segmentation penalty
更新于2025-09-04 15:30:14
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Segmentation and extraction of chromosomes from g-band metaphase Images
摘要： Objectives: Genetic problems can be identified by a test called Karyotyping. Karyotyping is used to find the abnormalities and genetic disorders or defects. The automated segmentation and disentangling of chromosomes are the challenging issues. Methods/Statistical Analysis: In current systems the separation between touching and overlapping chromosomes need human intervention. Different procedures are proposed to obtain the chromosome from its background. In this paper, an attempt is made to separate the chromosomes for Karyotyping in G-Band metaphase images. As a first step segmentation of chromosomes is done. Thesis carried out by means of local thresholding, region growing and edge detection methods. Then, the chromosome and its clusters are extracted by labelling the connected components. This process successfully separates individual chromosomes. Findings: Medical image Processing. Application: Keywords: Chromosome Analysis, Edge Detection, Image Segmentation, Karyotyping, Region Growing
关键词： Region Growing,Chromosome Analysis,Image Segmentation,Edge Detection,Karyotyping
更新于2025-09-04 15:30:14
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Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: A pilot study
摘要： Background: A fully convolutional neural networks (FCN)-based automated image analysis algorithm to discriminate between head and neck cancer and non-cancerous epithelium based on nonlinear microscopic images was developed. Methods: Head and neck cancer sections were used for standard histopathology and co-registered with multimodal images from the same sections using the combination of coherent anti-Stokes Raman scattering, two-photon excited fluorescence, and second harmonic generation microscopy. The images analyzed with semantic segmentation using a FCN for four classes: cancer, normal epithelium, background, and other tissue types. Results: A total of 114 images of 12 patients were analyzed. Using a patch score aggregation, the average recognition rate and an overall recognition rate or the four classes were 88.9% and 86.7%, respectively. A total of 113 seconds were needed to process a whole-slice image in the dataset. Conclusion: Multimodal nonlinear microscopy in combination with automated image analysis using FCN seems to be a promising technique for objective differentiation between head and neck cancer and noncancerous epithelium.
关键词： digital pathology,semantic segmentation,diagnostics,second-harmonic generation,convolutional neural networks,two-photon excited fluorescence,spectral histopathology,image analysis,head and neck cancer,coherent anti-stokes Raman scattering
更新于2025-09-04 15:30:14