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2013 IEEE 10th International Symposium on Biomedical Imaging最新文献

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Learn to recognize pathological myopia in fundus images using bag-of-feature and sparse learning approach 学习用特征袋和稀疏学习方法识别眼底图像中的病理性近视
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556618
Yanwu Xu, Jiang Liu, Zhuo Zhang, N. Tan, D. Wong, S. Saw, T. Wong
{"title":"Learn to recognize pathological myopia in fundus images using bag-of-feature and sparse learning approach","authors":"Yanwu Xu, Jiang Liu, Zhuo Zhang, N. Tan, D. Wong, S. Saw, T. Wong","doi":"10.1109/ISBI.2013.6556618","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556618","url":null,"abstract":"Pathological myopia is a leading cause of visual impairment, and can lead to blindness in children if left undetected. We present a bag-of-feature and sparse learning based framework to automatically recognize pathological myopia in retinal fundus images and discover the most related visual features corresponding to the retinal changes in pathological myopia. In the learning phase, the codebook for the bag-of-feature model and the classification model are first learnt, and the top related visual features are discovered via sparse learning concurrently. In the testing phase, for a given retinal fundus image, local features are first extracted and then quantized with the learned codebook to obtain the global feature. Finally, the classification model is used to determine the presence of pathological myopia. Our results on a population based study dataset of 2258 images achieve a 0.964 ± 0.007 AUC value and 90.6±1.0% balanced accuracy at a 85.0% specificity. The results are promising for further development and validation of this framework.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129655626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation 基于亲和传播的正电子发射断层成像图像鲁棒分割和精确目标定义
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556810
Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, W. Bishai, Sanjay Jain, Ziyue Xu, D. Mollura
{"title":"Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation","authors":"Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, W. Bishai, Sanjay Jain, Ziyue Xu, D. Mollura","doi":"10.1109/ISBI.2013.6556810","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556810","url":null,"abstract":"Distributed inflammation in infectious diseases cause variable uptake regions in positron emission tomography (PET) images. Due to this distributed nature of immuno-pathology and associated PET uptake, intensity based methods are much better suited over region based methods for segmentation. The most commonly used intensity based segmentation is thresholding, but it has a major drawback of a lack of consensus on the selection of the thresholding value. We propose a method to select an optimal thresholding value by utilizing a novel similarity metric between the data points along the gray-level histogram of the image then using Affinity Propagation (AP) to cluster the intensities based on this metric. This method is tested against the PET images of rabbits infected with tuberculosis with distributed uptakes with promising results.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129921279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Noise modeling for intensified camera in fluorescence imaging: Application to image denoising 荧光成像中增强相机的噪声建模:在图像去噪中的应用
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556546
Philippe Roudot, C. Kervrann, J. Boulanger, F. Waharte
{"title":"Noise modeling for intensified camera in fluorescence imaging: Application to image denoising","authors":"Philippe Roudot, C. Kervrann, J. Boulanger, F. Waharte","doi":"10.1109/ISBI.2013.6556546","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556546","url":null,"abstract":"We propose a statistical framework for noise variance estimation in the case of experimental microscopic images enhanced by an image intensifier. Instrumentally induced noise is modeled and corrected to cope with optical aberrations. In this paper, the spatially varying noise is exploited for denoising applications. Our approach does not need variance stabilization since the algorithm is able to adapt to local noise statistics. Performances are demonstrated on real samples on both widefield and confocal imaging combined with frequency domain fluorescence lifetime imaging (FD FLIM).","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129192890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation 患者DTI对使用反应扩散方程准确模拟胶质瘤生长的重要性
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556681
E. Stretton, Ezequiel Geremia, Bjoern H Menze, H. Delingette, N. Ayache
{"title":"Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation","authors":"E. Stretton, Ezequiel Geremia, Bjoern H Menze, H. Delingette, N. Ayache","doi":"10.1109/ISBI.2013.6556681","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556681","url":null,"abstract":"Tumor growth models based on the FisherKolmogorov reaction-diffusion equation (FK) have shown convincing results in reproducing and predicting the invasion patterns of gliomas brain tumors. Diffusion tensor images (DTIs) were suggested to model the anisotropic diffusion of tumor cells in the brain white matter. However, clinical patient-DTIs are expensive and often acquired with low resolution, which compromises the accuracy of the tumor growth models. In this work, we used the traveling wave approximation model to describe the evolution of the visible boundary of the tumor modeled by the FK equation to investigate the impact of replacing the patient DTI by (i) an isotropic diffusion map or (ii) an anisotropic high-resolution DTI atlas formed by averaging DTIs of multiple patients. We quantify the impact of replacing the patient DTI using three metrics: the shape of the simulated glioma, the estimation of the tumor growth parameters, and the prediction performance on clinical cases.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"30 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113984215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Automatic segmentation of vocal tract MR images 声道磁共振图像的自动分割
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556777
Zeynab Raeesy, S. Rueda, J. Udupa, J. Coleman
{"title":"Automatic segmentation of vocal tract MR images","authors":"Zeynab Raeesy, S. Rueda, J. Udupa, J. Coleman","doi":"10.1109/ISBI.2013.6556777","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556777","url":null,"abstract":"Magnetic resonance imaging (MRI) is widely applied as a safe and reliable method in studying the hidden mechanisms of human speech production. Automatic segmentation of vocal tract shape in MRI is a challenging task due to the dynamic nature of articulation, the variability in the shape introduced by different sounds or different speakers' articulatory configurations, and the connectivity of vocal tract airway to other channels of air such as the nasal tract. A new approach for the automatic segmentation of the vocal tract shape in dynamic MR images is proposed. A method of automatic landmark tagging by recursive boundary subdivision (RBS) is applied to obtain the corresponding sets of landmarks on the vocal tract contours. The oriented active shape model (OASM) technique is adopted to recognise and delineate the shape of the vocal tract in standardised MR images. The results are presented and evaluated both qualitatively and quantitatively. We demonstrate that this is a promising approach for automatic segmentation of large databases of vocal tract images for the purposes of speech production studies.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114739122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
Robust parametric stabilization of moving cells with intensity correction in light microscopy image sequences 光学显微镜图像序列中运动细胞强度校正的鲁棒参数稳定
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556513
Solene Ozere, P. Bouthemy, F. Spindler, P. Paul-Gilloteaux, C. Kervrann
{"title":"Robust parametric stabilization of moving cells with intensity correction in light microscopy image sequences","authors":"Solene Ozere, P. Bouthemy, F. Spindler, P. Paul-Gilloteaux, C. Kervrann","doi":"10.1109/ISBI.2013.6556513","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556513","url":null,"abstract":"Automatically stabilizing moving living cells in fluorescence microscopy image sequences is required to attain and analyze the actual displacements of subcellular particles. We have designed a stabilization method which can handle within a single parametric framework, the estimation of the global motion and of the temporal intensity variation (e.g., due to photobleaching effect) that we have to compensate for. We have introduced extended parametric motion-intensity constraints and exploited a robust multiresolution estimation scheme insensitive to local independent motions (outliers). We demonstrate the efficiency and the accuracy of our stabilization method on three challenging cellular events: cell development, endosome displacements, protein recruitment.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114777059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Level set regularization for nonlinear absorption and phase retrieval in X-ray phase contrast tomography x射线相衬层析成像中非线性吸收与相位恢复的水平集正则化
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556761
B. Sixou, V. Davidoiu, M. Langer, F. Peyrin
{"title":"Level set regularization for nonlinear absorption and phase retrieval in X-ray phase contrast tomography","authors":"B. Sixou, V. Davidoiu, M. Langer, F. Peyrin","doi":"10.1109/ISBI.2013.6556761","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556761","url":null,"abstract":"The in-line X-ray phase contrast imaging technique relies on the measurement of the Fresnel diffraction intensity patterns associated to a phase shift induced by the object. The simultaneous recovery of the phase and of the absorption is an ill-posed nonlinear inverse problem. If the object is made up of several homogeneous materials, the absorption and the phase are proportional in each material. In this work, in order to include this a priori information, level set regularization methods are used to retrieve the two quantities. The algorithms are evaluated using simulated noisy data. Large decrease of the reconstruction errors is obtained.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126496907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Real-time extraction of local phase features from volumetric medical image data 体医学图像数据中局部相位特征的实时提取
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556628
A. Amir-Khalili, A. Hodgson, R. Abugharbieh
{"title":"Real-time extraction of local phase features from volumetric medical image data","authors":"A. Amir-Khalili, A. Hodgson, R. Abugharbieh","doi":"10.1109/ISBI.2013.6556628","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556628","url":null,"abstract":"We present a novel real-time implementation of local phase feature extraction from volumetric image data based on 3D directional (log-Gabor) filters. We achieve drastic performance gains without compromising the signal-to-noise ratio by pre-computing the filters and adaptive noise estimation parameters, and streamlining the remainder of the computations to efficiently run on a multi-processor graphic processing unit (GPU). We validate our method on clinical ultrasound data and demonstrate a 15-fold speedup in computation time over state-of-the art methods, which could potentially facilitate a wide range of practical applications for real-time image-guided procedures.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Propagation of the MRI prostate delineation to the planning CT: A new matching contour framework MRI前列腺描绘到规划CT的传播:一种新的匹配轮廓框架
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556521
F. Commandeur, O. Acosta, A. Simon, R. Mathieu, P. Haigron, R. Crevoisier
{"title":"Propagation of the MRI prostate delineation to the planning CT: A new matching contour framework","authors":"F. Commandeur, O. Acosta, A. Simon, R. Mathieu, P. Haigron, R. Crevoisier","doi":"10.1109/ISBI.2013.6556521","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556521","url":null,"abstract":"Although accurate delineations of the prostate on computed tomography (CT) images are required for the planning in prostate cancer radiotherapy, these images do not provide the reliable soft tissue contrast. On the contrary, magnetic resonance (MR) images offer the possibility to better delineate both the tumor and healthy prostate tissues. Because CT is still used during the planning, MRICT image registration is an essential step to improve the targeting. In this paper, we propose a new framework to propagate the MRI prostate delineation to the CT-scan based on a robust contour matching approach. Prostate boundaries in CT are characterized with several multi-scale features and detected with a support vector machine (SVM) classifier. A new cost function for aligning the MRI delineation to the detected contours was developed. We evaluated the proposed approach on 11 manually aligned and delineated MR and CT images. The method outperformed the widely used mutual information (MI) and demonstrated the drawbacks of this metric for this application.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115980678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The impact of ventricular shape variations on inverse electrocardiography: A feasibility study 心室形状变化对逆心电图的影响:一项可行性研究
2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556537
A. Rahimi, Linwei Wang
{"title":"The impact of ventricular shape variations on inverse electrocardiography: A feasibility study","authors":"A. Rahimi, Linwei Wang","doi":"10.1109/ISBI.2013.6556537","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556537","url":null,"abstract":"Inverse electrocardiography (IECG) estimates cardiac electrical dynamics from body surface electrocardiographic data. As a common practice, all existing IECG problems are solved on anatomically-detailed heart and torso models derived from tomographic images of individual subjects. This practice constitutes a major obstacle to clinical translation of IECG methods, imposing high demands on the quality and processing of medical images. Because anatomical modeling is always associated with variations due to different factors such as image quality and segmentation methods, we design a novel and systematic approach to statistically quantify the impact of ventricular shape variations on the diagnostic accuracy of IECG methods. We propose a novel use of statistical shape modeling to account for the variations in subject-specific anatomical modeling, and from it to generate ventricular models with controlled variations, whose relation to the variations of IECG outputs are then statistically assessed. In this study, we test the feasibility of the proposed approach considering two existing IECG methods for epicardial potential reconstruction and transmural action potential imaging. Both phantom and real-data experiments report statistical equivalency of IECG diagnostic accuracy on ventricular models with local variations. This study demonstrates the feasibility of the proposed approach to be generalized to establish the proper level of anatomical details needed in ventricular modeling, which has the potential to change the common practice and facilitate the clinical translation of IECG research.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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