TMI Watch IEEE Transactions on Medical Imaging metadata monitor

Volume 26, Issue 10

15 articles collected from IEEE Xplore web pages.

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Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification

基于线算子和支持向量机的视网膜血管分割

Elisa Ricci, Renzo Perfetti

Body Part 身体部位
Eye
Modality 模态
Fundus
Abstract / 摘要
English

In the framework of computer-aided diagnosis of eye diseases, retinal vessel segmentation based on line operators is proposed. A line detector, previously used in mammography, is applied to the green channel of the retinal image. It is based on the evaluation of the average grey level along lines of fixed length passing through the target pixel at different orientations. Two segmentation methods are considered. The first uses the basic line detector whose response is thresholded to obtain unsupervised pixel classification. As a further development, we employ two orthogonal line detectors along with the grey level of the target pixel to construct a feature vector for supervised classification using a support vector machine. The effectiveness of both methods is demonstrated through receiver operating characteristic analysis on two publicly available databases of color fundus images.

中文

在计算机辅助诊断眼疾病的框架下,提出了一种基于线算子的视网膜血管分割方法。将先前用于乳腺摄影的线检测器应用于视网膜图像的绿色通道。该方法基于评估通过目标像素不同方向的固定长度直线的平均灰度值。考虑了两种分割方法。第一种使用基本线检测器,对其响应进行阈值化以获得无监督像素分类。作为进一步发展,我们采用两个正交线检测器以及目标像素的灰度值来构建特征向量,使用支持向量机进行监督分类。通过在两个公开的彩色眼底图像数据库上进行接收者操作特征分析,证明了两种方法的有效性。

Author Info / 作者信息
Elisa Ricci Department of Electronic and Information Engineering, University of Perugia, Perugia, Italy 意大利佩鲁贾大学电子与信息工程系
Renzo Perfetti Department of Electronic and Information Engineering, University of Perugia, Perugia, Italy 意大利佩鲁贾大学电子与信息工程系

Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images

多特征前列腺癌诊断与组织学图像的Gleason分级

Ali Tabesh, Mikhail Teverovskiy, Ho-Yuen Pang, Vinay P. Kumar, David Verbel, Angeliki Kotsianti, Olivier Saidi

Body Part 身体部位
Prostate
Modality 模态
Histopathology
Abstract / 摘要
English

We present a study of image features for cancer diagnosis and Gleason grading of the histological images of prostate. In diagnosis, the tissue image is classified into the tumor and nontumor classes. In Gleason grading, which characterizes tumor aggressiveness, the image is classified as containing a low- or high-grade tumor. The image sets used in this paper consisted of 367 and 268 color images ...

中文

我们提出了一项关于前列腺组织学图像的癌症诊断和Gleason分级的图像特征研究。在诊断中,组织图像被分类为肿瘤和非肿瘤类别。在表征肿瘤侵袭性的Gleason分级中,图像被分类为包含低级别或高级别肿瘤。本文使用的图像集包含367和268张彩色图像...

Author Info / 作者信息
Ali Tabesh Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Mikhail Teverovskiy Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Ho-Yuen Pang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Vinay P. Kumar Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
David Verbel Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Angeliki Kotsianti Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Olivier Saidi Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Automated Finite-Element Analysis for Deformable Registration of Prostate Images

用于前列腺图像变形配准的自动有限元分析

Jessica R. Crouch, Stephen M. Pizer, Edward L. Chaney, Yu-Chi Hu, Gig S. Mageras, Marco Zaider

Body Part 身体部位
Prostate
Modality 模态
None
Abstract / 摘要
English

Two major factors preventing the routine clinical use of finite-element analysis for image registration are: 1) the substantial labor required to construct a finite-element model for an individual patient's anatomy and 2) the difficulty of determining an appropriate set of finite-element boundary conditions. This paper addresses these issues by presenting algorithms that automatically generate a h...

中文

阻止有限元分析在图像配准中常规临床使用的两个主要因素是:1) 为个体患者解剖结构构建有限元模型需要大量劳动力,2) 确定适当的有限元边界条件集的困难。本文通过提出自动生成有限元模型的算法来解决这些问题...

Author Info / 作者信息
Jessica R. Crouch Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Stephen M. Pizer Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Edward L. Chaney Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Yu-Chi Hu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Gig S. Mageras Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Marco Zaider Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Constrained Active Appearance Models for Segmentation of Triplane Echocardiograms

用于三平面超声心动图分割的约束主动外观模型

Joger Hansegard, Stig Urheim, Ketil Lunde, Stein Inge Rabben

Body Part 身体部位
Heart
Modality 模态
US
Abstract / 摘要
English

This paper presents multiview and multiframe active appearance models (AAMs) for left ventricular segmentation in triplane echocardiograms. We describe a general way of integrating local edge detector based segmentation algorithms into the AAM framework. The feasibility of this approach is evaluated by comparing an AAM constrained by a dynamic programming (DP) based snake with an unconstrained AAM...

中文

本文提出了用于三平面超声心动图左心室分割的多视图和多帧主动外观模型(AAM)。我们描述了一种将基于局部边缘检测器的分割算法集成到AAM框架中的通用方法。通过比较受动态规划(DP)蛇约束的AAM与无约束AAM,评估了该方法的可行性。

Author Info / 作者信息
Joger Hansegard Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Stig Urheim Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Ketil Lunde Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Stein Inge Rabben Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Vascular Space Occupancy Weighted Imaging With Control of Residual Blood Signal and Higher Contrast-to-Noise Ratio

控制残余血流信号并提高对比噪声比的血管空间占位加权成像

Wen-Chau Wu, Richard B. Buxton, Eric C. Wong

Body Part 身体部位
Brain
Modality 模态
MRI
Abstract / 摘要
English

It has been recently proposed that the local cerebral blood volume change during brain activation can be measured by a series of images whose contrast is dependent on vascular space occupancy (VASO). VASO takes advantage of the inversion recovery sequence to acquire images when the longitudinal magnetization (MZ) of blood is relaxing through zero. The degree of blood suppression, however, is not a...

中文

最近提出,可以通过一系列对比度依赖于血管空间占位(VASO)的图像来测量脑激活期间局部脑血流量的变化。VASO利用反转恢复序列在血液纵向磁化(MZ)通过零点时采集图像。然而,血液抑制的程度并非...

Author Info / 作者信息
Wen-Chau Wu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Richard B. Buxton Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Eric C. Wong Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Improved Model-Based Magnetic Resonance Spectroscopic Imaging

改进的基于模型的磁共振波谱成像

Mathews Jacob, Xiaoping Zhu, Andreas Ebel, Norbert Schuff, Zhi-Pei Liang

Body Part 身体部位
Brain
Modality 模态
MRI
Abstract / 摘要
English

Model-based techniques have the potential to reduce the artifacts and improve resolution in magnetic resonance spectroscopic imaging, without sacrificing the signal-to-noise ratio. However, the current approaches have a few drawbacks that limit their performance in practical applications. Specifically, the classical schemes use less flexible image models that lead to model misfit, thus resulting i...

中文

基于模型的技术有潜力减少磁共振波谱成像中的伪影并提高分辨率,同时不牺牲信噪比。然而,当前的方法存在一些缺点,限制了其在实际应用中的性能。具体来说,经典方案使用灵活性较差的图像模型,导致模型失配,从而产生...

Author Info / 作者信息
Mathews Jacob Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Xiaoping Zhu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Andreas Ebel Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Norbert Schuff Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Zhi-Pei Liang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Motion Correction for Coronary Stent Reconstruction From Rotational X-ray Projection Sequences

基于旋转X射线投影序列的冠状动脉支架重建运动校正

BÉatrice Perrenot, RÉgis Vaillant, RÉmy Prost, GÉrard Finet, Philippe Douek, FranÇoise Peyrin

Body Part 身体部位
HeartVessel
Modality 模态
X-RayAngiography
Abstract / 摘要
English

This paper presents a new method for 3-D tomographic reconstruction of stent in X-ray cardiac rotational angiography. The method relies on 2-D motion correction from two radiopaque markerballs located on each side of the stent. The two markerballs are on a guidewire and linked to the balloon, which is introduced into the artery. Once the balloon has been inflated, deflated, and the stent deployed,...

中文

本文提出了一种在X射线心脏旋转血管造影中对支架进行三维断层重建的新方法。该方法依赖于支架两侧两个不透射线标记球的二维运动校正。这两个标记球位于导丝上,并与引入动脉的球囊相连。一旦球囊充气、放气,支架展开,...

Author Info / 作者信息
BÉatrice Perrenot Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
RÉgis Vaillant Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
RÉmy Prost Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
GÉrard Finet Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Philippe Douek Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
FranÇoise Peyrin Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Darrin C. Edwards, Charles E. Metz

Body Part 身体部位
None
Modality 模态
None
Abstract / 摘要
English

We have shown previously that an N-class ideal observer achieves the optimal receiver operating characteristic (ROC) hypersurface in a Neyman-Pearson sense. Due to the inherent complexity of evaluating observer performance even in a three-class classification task, some researchers have suggested a generally incomplete but more tractable evaluation in terms of a surface, plotting only the three ld...

中文

我们之前已经证明,在Neyman-Pearson意义上,N类理想观察者实现了最优的接收者操作特征(ROC)超曲面。由于即使在三类分类任务中评估观察者性能的固有复杂性,一些研究人员提出了一种通常不完整但更易于处理的评估方法,即绘制三个ld的曲面...

Author Info / 作者信息
Darrin C. Edwards Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Charles E. Metz Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Noise Properties of Chord-Image Reconstruction

弦图像重建的噪声特性

Dan Xia, Lifeng Yu, Emil Y. Sidky, Yu Zou, Nianming Zuo, Xiaochuan Pan

Body Part 身体部位
None
Modality 模态
CT
Abstract / 摘要
English

Recently, there has been much progress in algorithm development for image reconstruction in cone-beam computed tomography (CT). Current algorithms, including the chord-based algorithms, now accept minimal data sets for obtaining images on volume regions-of-interest (ROIs) thereby potentially allowing for reduction of X-ray dose in diagnostic CT. As these developments are relatively new, little eff...

中文

近来,锥束计算机断层扫描(CT)图像重建算法的开发取得了很大进展。当前算法,包括基于弦的算法,现在可以接受最小数据集来获取体积感兴趣区域(ROI)的图像,从而可能允许在诊断CT中减少X射线剂量。由于这些发展相对较新,很少有效的...

Author Info / 作者信息
Dan Xia Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Lifeng Yu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Emil Y. Sidky Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Yu Zou Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Nianming Zuo Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Xiaochuan Pan Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Automated Segmentation and Classification of High Throughput Yeast Assay Spots

高通量酵母检测斑点的自动分割与分类

Kourosh Jafari-Khouzani, Hamid Soltanian-Zadeh, Farshad Fotouhi, Jodi R. Parrish, Russell L. Finley

Body Part 身体部位
None
Modality 模态
None
Abstract / 摘要
English

Several technologies for characterizing genes and proteins from humans and other organisms use yeast growth or color development as read outs. The yeast two-hybrid assay, for example, detects protein-protein interactions by measuring the growth of yeast on a specific solid medium, or the ability of the yeast to change color when grown on a medium containing a chromogenic substrate. Current systems...

中文

几种用于表征人类和其他生物基因和蛋白质的技术利用酵母生长或颜色发展作为读数。例如,酵母双杂交检测通过测量酵母在特定固体培养基上的生长,或酵母在含有生色底物的培养基上生长时变色的能力来检测蛋白质-蛋白质相互作用。当前的系统...

Author Info / 作者信息
Kourosh Jafari-Khouzani Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Hamid Soltanian-Zadeh Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Farshad Fotouhi Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Jodi R. Parrish Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Russell L. Finley Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Erratum to "Error propagation framework for diffusion tensor imaging via diffusion tensor representations"

对《通过扩散张量表示进行扩散张量成像的误差传播框架》的勘误

Cheng Guan Koay, Lin-Ching Chang, Carlo Pierpaoli, Peter J. Basser

Body Part 身体部位
None
Modality 模态
MRI
Author Info / 作者信息
Cheng Guan Koay Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Lin-Ching Chang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Carlo Pierpaoli Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Peter J. Basser Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Authors pending

Body Part 身体部位
None
Modality 模态
None
Abstract / 摘要
English

Presents the table of contents for this issue of the periodical.

中文

介绍本期期刊的目录。

Blank page [back cover]

空白页 [封底]

Authors pending

Body Part 身体部位
None
Modality 模态
None
Abstract / 摘要
English

This page or pages intentionally left blank.

中文

本页或这些页面有意留空。

Authors pending

Body Part 身体部位
None
Modality 模态
None
Abstract / 摘要
English

Provides a listing of current staff, committee members and society officers.

中文

提供当前工作人员、委员会成员和学会官员的清单。

Authors pending

Body Part 身体部位
None
Modality 模态
None
Abstract / 摘要
English

Provides instructions and guidelines to prospective authors who wish to submit manuscripts.

中文

为有意投稿的作者提供说明和指南。

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