Real-Time Imaging最新文献_第7页

Nuclear morphometry of neoplastic cells as a method for diagnosis of histiocytoma, mastocytoma and transmissible venereal tumor in dogs 犬肿瘤细胞核形态测定在组织细胞瘤、肥大细胞瘤和传染性性肿瘤诊断中的应用

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.003

Kátia Cristina de Andrade Waldemarin , Marcelo Emílio Beletti , Luciano da Fontoura Costa

{"title":"Nuclear morphometry of neoplastic cells as a method for diagnosis of histiocytoma, mastocytoma and transmissible venereal tumor in dogs","authors":"Kátia Cristina de Andrade Waldemarin , Marcelo Emílio Beletti , Luciano da Fontoura Costa","doi":"10.1016/j.rti.2004.05.003","DOIUrl":"10.1016/j.rti.2004.05.003","url":null,"abstract":"<div><p>Image analysis has been used in medicine and veterinary science as an increasingly important auxiliary tool for histopathology evaluation, because of its potential for decreasing the intrinsic subjectivity of the human visual analysis. However, the geometrical features currently used are often inefficient, not always leading to correct diagnosis. The present work has as its main objective to suggest several approaches to geometric and texture characterization of the cell nuclei, characterized by low computational cost, rapid analysis and sound biological interpretation and good agreement with the visual analysis by expert pathologists. We consider digital images of histological slides obtained from histiocytoma, mastocytoma and transmissible venereal tumors in dogs. Segmented cell nuclei of these tumors were evaluated morphometrically considering the features normally used in medicine together with novel features suggested in the present work, applied in order to characterize the distribution and morphology of the nucleoli and heterochromatin inside the nuclei. Statistical characterization<span> of the obtained results was performed through variance and discriminant analysis, leading to the identification of the most important features. The approach proposed in this article has been verified to be an effective auxiliary tool for differential diagnosis of histiocytoma, mastocytoma and TVT in dogs. Its low computational cost allows fast morphometric evaluation, paving the way for real-time tumor diagnosis.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 197-204"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91423995","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: 15

Identification of tuberculosis bacteria based on shape and color 基于形状和颜色的结核细菌鉴定

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.007

Manuel G. Forero , Filip Sroubek , Gabriel Cristóbal

引用次数: 164

A texture approach to leukocyte recognition 白细胞识别的纹理方法

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.02.007

Daniela Mayumi Ushizima Sabino , Luciano da Fontoura Costa , Edgar Gil Rizzatti , Marco Antonio Zago

{"title":"A texture approach to leukocyte recognition","authors":"Daniela Mayumi Ushizima Sabino , Luciano da Fontoura Costa , Edgar Gil Rizzatti , Marco Antonio Zago","doi":"10.1016/j.rti.2004.02.007","DOIUrl":"10.1016/j.rti.2004.02.007","url":null,"abstract":"<div><p>Millions of white blood cells are manually classified in laboratories using microscopes, a painstaking and subjective task. A trained medical technician takes about 15<!--> <span><span><span>min to evaluate and count 100 cells for each blood slide, a time consuming and susceptible to error procedure. Leukocyte shape is usually insufficient to differentiate even among normal types since it varies widely. The current paper addresses the pattern recognition problem of blood image analysis and how textural information can improve differentiation among leukocytes. Cooccurrence probabilities can be used as a measure of </span>gray scale image<span> texture, a statistical method for characterizing the spatial organization of the gray-tones. We calculate five textural attributes based on gray level </span></span>cooccurrence matrices<span> (GLCM) as energy, entropy, inertia and local homogeneity, testing these features in leukocyte recognition. Several parameters must be estimated for obtaining GLCM, therefore we implement datamining algorithms for estimating suitable scales. Feature selection methods are also applied to define the most discriminative attributes for describing the cellular patterns. Experimental results show that texture parameters are essential to differentiate among the five types of normal leukocytes and chronic lymphocytic leukemia, evidencing the importance of biological aspects regarded by hematologists as nuclear chromatin and cytoplasmical granularity.</span></span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 205-216"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.02.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77959867","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: 165

3D characterization and localization of anatomical landmarks of the foot by FastSCAN 利用FastSCAN对足部解剖标志进行三维表征和定位

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.009

Xiang Liu , Wangdo Kim , Burkhard Drerup

{"title":"3D characterization and localization of anatomical landmarks of the foot by FastSCAN","authors":"Xiang Liu , Wangdo Kim , Burkhard Drerup","doi":"10.1016/j.rti.2004.05.009","DOIUrl":"https://doi.org/10.1016/j.rti.2004.05.009","url":null,"abstract":"<div><p>Anatomical landmarks</p><p>Biomechanics</p><p>Curvature maps</p><p>The landmarks on the body surface are important to shape and motion analysis. It is much better if the landmarks are anatomical ones, which are independent of position and coordinate system. The objective of this method is to present an easy-implemented method for extracting anatomical landmarks on the cylindraceous body surface which could be used in motion analysis or in medical treatment. The surface is scanned by FastSCAN (Polhemus, Colchester, Vermont, USA) and described by scattered three-dimensional surface points. The method provides the estimation of second-order derivatives by way of least-squares surface fitting to calculate the Gaussian curvature and mean curvature. To separate convexity from concavity<span>, the Koenderink<span><span> shape index maps of foot and leg are given as examples. The landmarks formed by underlying muscles and skeletal structures such as the malleoli distinguish themselves clearly on the Koenderink shape index maps. Minutes after the foot and leg are scanned, the curvature maps of the foot and leg provide the shape information and the loci of landmarks avail the </span>statistical shape analysis as well as foot underside deformation analysis. Furthermore, the anatomical landmarks around the knee and ankle, defining the transcondylar and transmalleolar axis, make it possible to calculate the tibial torsion by this non-invasive way. Generally, this method is fast and accurate. However, it gives some inaccurate results on the patch edge, which should be interpreted with caution, when it is applied on a surface patch in other occasions because of a small number of points unevenly distributed in the operator. Presently, the method is computationally intensive although the time can be reduced to a few seconds at the sacrifice of image resolution. Further efforts will be made to get the real-time information.</span></span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 217-228"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138332105","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: 0

A dynamical model with adaptive pixel moving for microarray images segmentation 基于自适应像素移动的微阵列图像分割动态模型

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.008

Antonio P.G. Damiance Jr., Liang Zhao, Andre C.P.L.F. Carvalho

引用次数: 16

Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation 利用空间关系进行图像分割的胸腹解剖计算建模

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.005

O. Camara , O. Colliot , I. Bloch

{"title":"Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation","authors":"O. Camara , O. Colliot , I. Bloch","doi":"10.1016/j.rti.2004.05.005","DOIUrl":"10.1016/j.rti.2004.05.005","url":null,"abstract":"<div><p><span>This paper presents an original hierarchical segmentation approach of several thoracic and abdominal structures in CT and emission PET images. Segmentation results will be used to initialize a non-linear registration procedure between these complementary </span>imaging modalities<span><span>. Therefore, structures involved in the segmentation system must be visible in both CT and emission PET images in order to compute a spatial transformation between them. Thus, the chosen structures include lungs, kidneys and liver (skin and skeleton are also segmented as support structures). In the hierarchical segmentation procedure, the extraction of a given structure is driven by information derived from a simpler one. This information is composed of spatial constraints inferred from the previously segmented structures and expressed by means of Regions Of Interest (ROI) in which the search for new structures will take place. The segmentation of each structure follows a two-phase process: a first stage is composed of automatic thresholding and other low-level operations in the ROI defined by previously segmented objects; a second stage employs a 3D </span>deformable model to refine and regularize results provided by the former step. Visual inspection by medical experts has stated that the proposed segmentation approach provides results which are accurate enough to guide a subsequent non-linear registration procedure.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 263-273"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78957787","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: 44

Image contrast enhancement via entropy production 通过熵产生增强图像对比度

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.004

Mario Ferraro , Giuseppe Boccignone

引用次数: 7

Morphometrical data analysis using wavelets 基于小波的形态计量数据分析

Real-Time Imaging Pub Date : 2004-08-01 DOI: 10.1016/j.rti.2004.05.006

C.M. Takemura , R.M. Cesar- Jr. , R.A.T. Arantes , L. da F. Costa , E. Hingst-Zaher , V. Bonato , S.F. dos Reis

引用次数: 8

3D characterization and localization of anatomical landmarks of the foot 足部解剖标志的三维表征和定位

Real-Time Imaging Pub Date : 2004-06-15 DOI: 10.1145/1044588.1044641

Xiang Liu, Wangdo Kim, B. Drerup

引用次数: 30

A robust hardware algorithm for real-time object tracking in video sequences 视频序列中实时目标跟踪的鲁棒硬件算法

Real-Time Imaging Pub Date : 2004-06-01 DOI: 10.1016/j.rti.2004.05.002

Mahmoud Meribout , Lazher Khriji , Mamoru Nakanishi

{"title":"A robust hardware algorithm for real-time object tracking in video sequences","authors":"Mahmoud Meribout , Lazher Khriji , Mamoru Nakanishi","doi":"10.1016/j.rti.2004.05.002","DOIUrl":"10.1016/j.rti.2004.05.002","url":null,"abstract":"<div><p><span><span>Most of the emerging content-based multimedia technologies are based on efficient methods to solve machine early vision tasks. Among other tasks, object segmentation is perhaps the most important problem in single image processing. The solution of this problem is the key technology of the development of the majority of leading-edge interactive video communication technology and </span>telepresence<span> systems. The aim of this paper is to present a robust framework for real-time object segmentation and tracking in video sequences taken simultaneously from different perspectives. The other contribution of the paper is to present a new dedicated parallel hardware architecture. It is composed of a mixture of Digital Signal Processing and Field Programmable Gate Array technologies and uses the </span></span>Content Addressable Memory as a main processing unit. Experimental results indicate that small amount of hardware can deliver real-time performance and high accuracy. This is an improvement over previous systems, where execution time of the second-order using a greater amount of hardware has been proposed.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 3","pages":"Pages 145-159"},"PeriodicalIF":0.0,"publicationDate":"2004-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82966855","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