TMI Watch IEEE Transactions on Medical Imaging metadata monitor

Volume 30, Issue 11

18 articles collected from IEEE Xplore web pages.

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Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du

Body Part 身体部位
Lung
Modality 模态
CT
Abstract / 摘要
English

EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intrapatient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the configuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website ( http://empire10.isi.uu.nl ). The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.

中文

EMPIRE10(2010年肺图像配准方法评估)是一个公开平台,旨在公平且有意义地比较应用于患者内胸部CT图像对数据库的配准算法。评估非刚性配准技术是一项重要任务。然而,研究人员通常仅在自己的数据上进行测试,而这些数据差异很大,因此过去几乎无法对不同配准算法进行可靠的评估和比较。本文介绍了EMPIRE10启动阶段的结果,该阶段对来自领先学术和工业研究小组的20种独立算法进行了全面评估和比较。所有算法均应用于相同的30对胸部CT图像。算法设置和参数由精通各自方法配置的研究人员选择,评估独立进行,对所有参与者采用相同标准。所有结果均发布在EMPIRE10网站(http://empire10.isi.uu.nl)上。该挑战仍在进行中,并对新参与者开放。截至撰写本文时,已发布24种算法的完整结果。本文详细介绍了挑战的组织、数据和评估方法,以及初始启动阶段20种算法的结果,并讨论了知识收获和未来工作。

Author Info / 作者信息
Keelin Murphy Image Sciences Institute, University Medical Center, Utrecht, Netherlands 荷兰乌得勒支大学医学中心影像科学研究所
Bram van Ginneken Image Sciences Institute, University Medical Center, Utrecht, Netherlands; Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands 荷兰乌得勒支大学医学中心影像科学研究所;荷兰奈梅亨拉德堡大学医学中心放射科
Joseph M. Reinhardt Department of Biomedical Engineering, University of Iowa, Iowa, IA, USA 美国爱荷华大学生物医学工程系
Sven Kabus Philips Research Laboratories, Hamburg, Germany 德国汉堡飞利浦研究实验室
Kai Ding Department of Biomedical Engineering, University of Iowa, Iowa, IA, USA 美国爱荷华大学生物医学工程系
Xiang Deng Corporate Technology, Siemens, Hebei, China 中国河北西门子企业技术部
Kunlin Cao Department of Electrical and Computer Engineering, University of Iowa, Iowa, IA, USA 美国爱荷华大学电气与计算机工程系
Kaifang Du Department of Biomedical Engineering, University of Iowa, Iowa, IA, USA 美国爱荷华大学生物医学工程系

Meindert Niemeijer, Xiayu Xu, Alina V. Dumitrescu, Priya Gupta, Bram van Ginneken, James C. Folk, Michael D. Abramoff

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

A decreased ratio of the width of retinal arteries to veins [arteriolar-to-venular diameter ratio (AVR)], is well established as predictive of cerebral atrophy, stroke and other cardiovascular events in adults. Tortuous and dilated arteries and veins, as well as decreased AVR are also markers for plus disease in retinopathy of prematurity. This work presents an automated method to estimate the AVR...

中文

视网膜动脉与静脉宽度比值(动静脉直径比,AVR)降低已被证实可预测成年人脑萎缩、中风及其他心血管事件。迂曲扩张的动静脉以及AVR降低也是早产儿视网膜病变附加病变的标志。本研究提出了一种自动估计AVR的方法……

Author Info / 作者信息
Meindert Niemeijer Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Xiayu Xu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Alina V. Dumitrescu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Priya Gupta Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Bram van Ginneken Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
James C. Folk Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Michael D. Abramoff Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

The Singular Value Filter: A General Filter Design Strategy for PCA-Based Signal Separation in Medical Ultrasound Imaging

奇异值滤波器:一种用于医学超声成像中基于PCA信号分离的通用滤波器设计策略

F. William Mauldin, Dan Lin, John A. Hossack

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

A general filtering method, called the singular value filter (SVF), is presented as a framework for principal component analysis (PCA) based filter design in medical ultrasound imaging. The SVF approach operates by projecting the original data onto a new set of bases determined from PCA using singular value decomposition (SVD). The shape of the SVF weighting function, which relates the singular va...

中文

提出了一种名为奇异值滤波器(SVF)的通用滤波方法,作为医学超声成像中基于主成分分析(PCA)的滤波器设计框架。SVF方法通过将原始数据投影到由奇异值分解(SVD)从PCA确定的新基集上运行。SVF加权函数的形状(该函数将奇异值与...

Author Info / 作者信息
F. William Mauldin Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Dan Lin Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
John A. Hossack Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking

基于预测的协同跟踪器(PCT):一种稳健且准确的3D医学目标跟踪方法

Lin Yang, Bogdan Georgescu, Yefeng Zheng, Yang Wang, Peter Meer, Dorin Comaniciu

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

Robust and fast 3D tracking of deformable objects, such as heart, is a challenging task because of the relatively low image contrast and speed requirement. Many existing 2D algorithms might not be directly applied on the 3D tracking problem. The 3D tracking performance is limited due to dramatically increased data size, landmarks ambiguity, signal drop-out or complex nonrigid deformation. In this ...

中文

对诸如心脏之类的可变形物体进行稳健且快速的3D跟踪是一项具有挑战性的任务,因为图像对比度相对较低且对速度有要求。许多现有的2D算法可能无法直接应用于3D跟踪问题。由于数据量急剧增加、标志物模糊、信号丢失或复杂的非刚性变形,3D跟踪性能受到限制。在...

Author Info / 作者信息
Lin Yang 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
Yefeng Zheng 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
Peter Meer 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

Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA

基于鲁棒形状回归的有监督血管分割及其在CTA冠状动脉分割中的应用

Michiel Schaap, Theo van Walsum, Lisan Neefjes, Coert Metz, Ermanno Capuano, Marleen de Bruijne, Wiro Niessen

Body Part 身体部位
Vessel
Modality 模态
CT
Abstract / 摘要
English

This paper presents a vessel segmentation method which learns the geometry and appearance of vessels in medical images from annotated data and uses this knowledge to segment vessels in unseen images. Vessels are segmented in a coarse-to-fine fashion. First, the vessel boundaries are estimated with multivariate linear regression using image intensities sampled in a region of interest around an init...

中文

本文提出了一种血管分割方法,该方法从标注数据中学习医学图像中血管的几何形状和外观,并利用这些知识对未见图像中的血管进行分割。血管采用由粗到细的方式进行分割。首先,通过多变量线性回归,利用在初始化区域周围采样的图像强度来估计血管边界。

Author Info / 作者信息
Michiel Schaap Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Theo van Walsum Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Lisan Neefjes Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Coert Metz Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Ermanno Capuano Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Marleen de Bruijne Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Wiro Niessen Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

图像引导干预中前列腺运动建模用于数据融合

Yipeng Hu, Timothy J. Carter, Hashim Uddin Ahmed, Mark Emberton, Clare Allen, David J. Hawkes, Dean C. Barratt

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

There is growing clinical demand for image registration techniques that allow multimodal data fusion for accurate targeting of needle biopsy and ablative prostate cancer treatments. However, during procedures where transrectal ultrasound (TRUS) guidance is used, substantial gland deformation can occur due to TRUS probe pressure. In this paper, the ability of a statistical shape/motion model, train...

中文

对于允许多模态数据融合的图像配准技术,临床需求日益增长,以实现针吸活检和消融性前列腺癌治疗的精准靶向。然而,在使用经直肠超声(TRUS)引导的手术过程中,TRUS探头压力可能导致显著的前列腺变形。本文研究了一种统计形状/运动模型的能力,该模型训练...

Author Info / 作者信息
Yipeng Hu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Timothy J. Carter Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Hashim Uddin Ahmed Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Mark Emberton Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Clare Allen 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
Dean C. Barratt Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

MR-Guided Thermotherapy of Abdominal Organs Using a Robust PCA-Based Motion Descriptor

基于稳健PCA运动描述的腹部器官MR引导热疗

Baudouin Denis de Senneville, Mario Ries, Grégory Maclair, Chrit Moonen

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

Thermotherapies can now be guided in real-time using magnetic resonance imaging (MRI). This technique is rapidly gaining importance in interventional therapies for abdominal organs such as liver and kidney. An accurate online estimation and characterization of organ displacement is mandatory to prevent misregistration and correct for motion related thermometry artifacts. In addition, when the abla...

中文

现在可以利用磁共振成像(MRI)实时引导热疗。该技术在对肝脏和肾脏等腹部器官的介入治疗中迅速获得重要性。必须准确在线估计和表征器官位移,以防止误配准并校正与运动相关的测温伪影。此外,当消融...

Author Info / 作者信息
Baudouin Denis de Senneville Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Mario Ries Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Grégory Maclair Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Chrit Moonen Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Motion-Induced Phase Error Estimation and Correction in 3D Diffusion Tensor Imaging

三维扩散张量成像中运动引起的相位误差估计与校正

Anh T. Van, Diego Hernando, Bradley P. Sutton

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

A multishot data acquisition strategy is one way to mitigate B0 distortion and ${\rm T}2\ast$ blurring for high-resolution diffusion-weighted magnetic resonance imaging experiments. However, different object motions that take place during different shots cause phase inconsistencies in the data, leading to significant image artifacts. This work proposes a maximum likelihood estimation and $k$-spac...

中文

多激发数据采集策略是减轻高分辨率扩散加权磁共振成像实验中B0畸变和T2*模糊的一种方法。然而,在不同激发期间发生的不同物体运动会导致数据中的相位不一致,从而产生显著的图像伪影。本文提出了一种最大似然估计和k空间...

Author Info / 作者信息
Anh T. Van Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Diego Hernando Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Bradley P. Sutton Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Common-Mode Differential-Mode (CMDM) Method for Double-Nuclear MR Signal Excitation and Reception at Ultrahigh Fields

超高场下双核磁共振信号激励与接收的共模差模(CMDM)方法

Yong Pang, Xiaoliang Zhang, Zhentian Xie, Chunsheng Wang, Daniel. B. Vigneron

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

Double-tuned radio-frequency (RF) coils for heteronuclear mangentic resonance (MR) require sufficient electromagnetic isolation between the two resonators operating at two Larmor frequencies and independent tuning in order to attain highly efficient signal acquisition at each frequency. In this work, a novel method for double-tuned coil design at 7T based on the concept of common-mode differential...

中文

用于异核磁共振(MR)的双调谐射频(RF)线圈需要在两个拉莫尔频率下工作的两个谐振器之间具有足够的电磁隔离,并且能够独立调谐,以便在每个频率下实现高效的信号采集。本文提出了一种基于共模差模概念的7T双调谐线圈设计新方法...

Author Info / 作者信息
Yong Pang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Xiaoliang Zhang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Zhentian Xie Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Chunsheng Wang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Daniel. B. Vigneron Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

A Reproducing Kernel Hilbert Space Approach for Q-Ball Imaging

Q-Ball成像的再生核希尔伯特空间方法

Enrico Kaden, Frithjof Kruggel

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

Diffusion magnetic resonance (MR) imaging has enabled us to reveal the white matter geometry in the living human brain. The Q-ball technique is widely used nowadays to recover the orientational heterogeneity of the intra-voxel fiber architecture. This article proposes to employ the Funk-Radon transform in a Hilbert space with a reproducing kernel derived from the spherical Laplace-Beltrami operato...

中文

弥散磁共振成像使我们能够揭示活体人脑的白质几何结构。Q-ball技术如今被广泛用于恢复体素内纤维结构的取向异质性。本文提出在希尔伯特空间中使用Funk-Radon变换,该空间具有由球面拉普拉斯-贝尔特拉米算子导出的再生核...

Author Info / 作者信息
Enrico Kaden Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Frithjof Kruggel Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Notice of Violation of IEEE Publication Principles: Bag-of-Features Based Medical Image Retrieval via Multiple Assignment and Visual Words Weighting

违反IEEE出版原则通知:基于多分配和视觉词加权的词袋特征医学图像检索

Jingyan Wang, Yongping Li, Ying Zhang, Chao Wang, Honglan Xie, Guoling Chen, Xin Gao

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

Bag-of-features based approaches have become prominent for image retrieval and image classification tasks in the past decade. Such methods represent an image as a collection of local features, such as image patches and key points with scale invariant feature transform (SIFT) descriptors. To improve the bag-of-features methods, we first model the assignments of local descriptors as contribution fun...

中文

在过去十年中,基于词袋特征的方法已成为图像检索和图像分类任务的主流。这类方法将图像表示为局部特征的集合,例如图像块和具有尺度不变特征变换(SIFT)描述符的关键点。为了改进词袋特征方法,我们首先将局部描述符的分配建模为贡献函数...

Author Info / 作者信息
Jingyan Wang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Yongping Li Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Ying Zhang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Chao Wang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Honglan Xie Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Guoling Chen Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Xin Gao Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

Erratum to “General Approach to First-Order Error Prediction in Rigid Point Registration” [Mar 11 679-693]

对“刚性点配准中一阶误差预测的通用方法”[2011年3月第679-693页]的勘误

Andrei Danilchenko, J. Michael Fitzpatrick

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

Presents the revised text for two paragraphs from the above titled paper (ibid., vol. 30, no. 3, pp. 679-693, Mar. 2011).

中文

提供了上述标题论文(同上,第30卷,第3期,第679-693页,2011年3月)中两段文字的修订版。

Author Info / 作者信息
Andrei Danilchenko Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
J. Michael Fitzpatrick Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构

2012 IEEE membership form

2012年IEEE会员表格

Authors pending

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

Advertisement: 2012 IEEE membership form.

中文

广告:2012年IEEE会员表格。

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。

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。

Why we joined ... [advertisement]

我们为何加入……[广告]

Authors pending

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

Advertisement: Why we joined.

中文

广告:我们为何加入。

2012 IEEE international conference on image processing

2012年IEEE国际图像处理会议

Authors pending

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

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

中文

诚邀各位作者提交新的、未发表的手稿,以便收录在本征稿通知中所述的即将举行的活动中。

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名单。

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