TMI Watch IEEE Transactions on Medical Imaging metadata monitor

Volume 29, Issue 9

15 articles collected from IEEE Xplore web pages.

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Fang-Cheng Yeh, Van Jay Wedeen, Wen-Yih Isaac Tseng

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

Based on the Fourier transform relation between diffusion magnetic resonance (MR) signals and the underlying diffusion displacement, a new relation is derived to estimate the spin distribution function (SDF) directly from diffusion MR signals. This relation leads to an imaging method called generalized q -sampling imaging (GQI), which can obtain the SDF from the shell sampling scheme used in q -ball imaging (QBI) or the grid sampling scheme used in diffusion spectrum imaging (DSI). The accuracy of GQI was evaluated by a simulation study and an in vivo experiment in comparison with QBI and DSI. The simulation results showed that the accuracy of GQI was comparable to that of QBI and DSI. The simulation study of GQI also showed that an anisotropy index, named quantitative anisotropy, was correlated with the volume fraction of the resolved fiber component. The in vivo images of GQI demonstrated that SDF patterns were similar to the ODFs reconstructed by QBI or DSI. The tractography generated from GQI was also similar to those generated from QBI and DSI. In conclusion, the proposed GQI method can be applied to grid or shell sampling schemes and can provide directional and quantitative information about the crossing fibers.

中文

基于扩散磁共振(MR)信号与潜在扩散位移之间的傅里叶变换关系,推导出一个新的关系式,可直接从扩散MR信号估计自旋分布函数(SDF)。这一关系引出了一项称为广义q-采样成像(GQI)的成像方法,该方法可以从q-球成像(QBI)中使用的壳采样方案或扩散频谱成像(DSI)中使用的网格采样方案获得SDF。通过仿真研究和与QBI及DSI的体内实验比较,评估了GQI的准确性。仿真结果表明,GQI的准确性与QBI和DSI相当。GQI的仿真研究还显示,一个名为定量各向异性的各向异性指数与所解析纤维成分的体积分数相关。GQI的体内图像显示,SDF模式与QBI或DSI重建的ODF相似。从GQI生成的纤维追踪也与从QBI和DSI生成的相似。总之,所提出的GQI方法可应用于网格或壳采样方案,并能提供关于交叉纤维的方向和定量信息。

Author Info / 作者信息
Fang-Cheng Yeh Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA 美国宾夕法尼亚州匹兹堡卡内基梅隆大学生物医学工程系
Van Jay Wedeen Department of Radiology, Harvard Medical School, Charlestown, MA, USA 美国马萨诸塞州查尔斯敦哈佛医学院放射学系
Wen-Yih Isaac Tseng Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan 台湾台北国立台湾大学医院医学影像科

Filtered Multitensor Tractography

滤波多张量纤维束成像

James G. Malcolm, Martha E. Shenton, Yogesh Rathi

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

We describe a technique that uses tractography to drive the local fiber model estimation. Existing techniques use independent estimation at each voxel so there is no running knowledge of confidence in the estimated model fit. We formulate fiber tracking as recursive estimation: at each step of tracing the fiber, the current estimate is guided by those previous. To do this we perform tractography w...

中文

我们描述了一种利用纤维束成像驱动局部纤维模型估计的技术。现有技术在每个体素处独立估计,因此没有对估计模型拟合置信度的持续了解。我们将纤维追踪视为递归估计:在追踪纤维的每一步,当前估计由之前的估计引导。为此,我们执行纤维束成像...

Author Info / 作者信息
James G. Malcolm Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Martha E. Shenton Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Yogesh Rathi Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

基于配准的传播框架用于心脏MRI的全心自动分割

Xiahai Zhuang, Kawal S. Rhode, Reza S. Razavi, David J. Hawkes, Sebastien Ourselin

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

Magnetic resonance (MR) imaging has become a routine modality for the determination of patient cardiac morphology. The extraction of this information can be important for the development of new clinical applications as well as the planning and guidance of cardiac interventional procedures. To avoid inter- and intra-observer variability of manual delineation, it is highly desirable to develop an au...

中文

磁共振成像已成为确定患者心脏形态的常规方式。提取这些信息对于开发新的临床应用以及心脏介入手术的规划和指导可能很重要。为了避免手动勾画的观察者间和观察者内变异性,非常希望开发一种自动...

Author Info / 作者信息
Xiahai Zhuang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Kawal S. Rhode Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Reza S. Razavi Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
David J. Hawkes Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Sebastien Ourselin Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE

基于四维心脏CT和经食管超声的患者特异性主动脉瓣和二尖瓣建模与量化

Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgescu, Yang Wang, Helene Houle, Fernando Vega-Higuera, Nassir Navab, Dorin Comaniciu

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

As decisions in cardiology increasingly rely on noninvasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best of our knowledge, we propose the first automatic system for patient-specific modeling and quantification of the left heart valves, which operates on cardiac computed tomography (CT) and transesophageal echocardiogram (TEE...

中文

随着心脏病学决策越来越依赖无创方法,快速精确的图像处理工具已成为分析工作流程的关键组成部分。据我们所知,我们提出了首个用于左心瓣膜患者特异性建模与量化的自动系统,该系统基于心脏计算机断层扫描(CT)和经食管超声心动图(TEE...

Author Info / 作者信息
Razvan Ioan Ionasec Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Ingmar Voigt Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Bogdan Georgescu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Yang Wang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Helene Houle Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Fernando Vega-Higuera Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Nassir Navab Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Dorin Comaniciu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Mitral Annulus Segmentation From 3D Ultrasound Using Graph Cuts

基于图割的三维超声二尖瓣环分割

Robert J. Schneider, Douglas P. Perrin, Nikolay V. Vasilyev, Gerald R. Marx, Pedro J. del Nido, Robert D. Howe

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

The shape of the mitral valve annulus is used in diagnostic and modeling applications, yet methods to accurately and reproducibly delineate the annulus are limited. This paper presents a mitral annulus segmentation algorithm designed for closed mitral valves which locates the annulus in three-dimensional ultrasound using only a single user-specified point near the center of the valve. The algorith...

中文

二尖瓣环的形状用于诊断和建模应用,然而精确且可重复地勾画瓣环的方法有限。本文提出了一种针对闭合二尖瓣的瓣环分割算法,该算法仅需用户在瓣膜中心附近指定一个点,即可在三维超声中定位瓣环。该算法...

Author Info / 作者信息
Robert J. Schneider Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Douglas P. Perrin Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Nikolay V. Vasilyev Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Gerald R. Marx Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Pedro J. del Nido Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Robert D. Howe Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

An Automatic and Robust Algorithm of Reestablishment of Digital Dental Occlusion

一种自动且鲁棒的数字牙齿咬合重建算法

Yu-Bing Chang, James J. Xia, Jaime Gateno, Zixiang Xiong, Xiaobo Zhou, Stephen T. C. Wong

Body Part 身体部位
Head and Neck
Modality 模态
CT
Abstract / 摘要
English

In the field of craniomaxillofacial (CMF) surgery, surgical planning can be performed on composite 3-D models that are generated by merging a computerized tomography scan with digital dental models. Digital dental models can be generated by scanning the surfaces of plaster dental models or dental impressions with a high-resolution laser scanner. During the planning process, one of the essential st...

中文

在颅颌面(CMF)外科领域,手术规划可以在通过融合计算机断层扫描与数字牙齿模型生成的复合三维模型上进行。数字牙齿模型可通过使用高分辨率激光扫描仪扫描石膏牙齿模型或牙印模的表面生成。在规划过程中,一个关键的步骤是...

Author Info / 作者信息
Yu-Bing Chang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
James J. Xia Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Jaime Gateno Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Zixiang Xiong Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Xiaobo Zhou Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Stephen T. C. Wong Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Automatic Best Reference Slice Selection for Smooth Volume Reconstruction of a Mouse Brain From Histological Images

用于从组织学图像平滑重建小鼠大脑体积的最佳参考切片自动选择

Ulaş Bağci, Li Bai

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

In this paper, we present a novel and effective method for registering histological slices of a mouse brain to reconstruct a 3-D volume. First, intensity variations in images are corrected through an intensity standardization process so that intensity values remain constant across slices. Second, the image space is transformed to a feature space where continuous variables are taken as high fidelit...

中文

本文提出了一种新颖有效的方法,用于配准小鼠大脑的组织学切片以重建三维体积。首先,通过强度标准化过程校正图像中的强度变化,使得切片间的强度值保持一致。其次,将图像空间转换到特征空间,其中连续变量被视为高保真...

Author Info / 作者信息
Ulaş Bağci Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Li Bai Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI

最优设计矩阵生成的统计框架及其在功能磁共振成像中的应用

Gautam V. Pendse, Richard Baumgartner, Adam J. Schwarz, Alexandre Coimbra, David Borsook, Lino Becerra

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

The general linear model (GLM) is a well established tool for analyzing functional magnetic resonance imaging (fMRI) data. Most fMRI analyses via GLM proceed in a massively univariate fashion where the same design matrix is used for analyzing data from each voxel. A major limitation of this approach is the locally varying nature of signals of interest as well as associated confounds. This local va...

中文

一般线性模型(GLM)是分析功能磁共振成像(fMRI)数据的一个成熟工具。大多数通过GLM进行的fMRI分析以大规模单变量方式进行,其中使用相同的设计矩阵来分析每个体素的数据。这种方法的一个主要局限性是感兴趣信号以及相关混杂因素的局部变化性质。这种局部变化...

Author Info / 作者信息
Gautam V. Pendse Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Richard Baumgartner Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Adam J. Schwarz Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Alexandre Coimbra Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
David Borsook Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Lino Becerra Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Correction to “Bayesian $k$-Space–Time Reconstruction of MR Spectroscopic Imaging for Enhanced Resolution” [Jul 10 1333-1350]

对“用于增强分辨率的磁共振波谱成像的贝叶斯k空间-时间重建”的更正 [2010年7月 1333-1350]

John Kornak, Karl Young, Brian J. Soher, Andrew A. Maudsley

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

In the above titled paper (ibid., vol. 29, no. 7, pp. 1333-1350), there were errors in equations (7) and (16). The corrected equations are presented here.

中文

在上述标题论文(同上,第29卷,第7期,第1333-1350页)中,方程(7)和(16)存在错误。此处给出修正后的方程。

Author Info / 作者信息
John Kornak Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Karl Young Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Brian J. Soher Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Andrew A. Maudsley Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

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

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中文

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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。

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

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中文

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

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中文

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Modality 模态
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Abstract / 摘要
English

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中文

广告:IEEE。

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

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