Volume 23, Issue 10

We present here a new method to identify the position of the optic disc (OD) in retinal fundus images. The method is based on the preliminary detection of the main retinal vessels. All retinal vessels originate from the OD and their path follows a similar directional pattern (parabolic course) in all images. To describe the general direction of retinal vessels at any given position in the image, a geometrical parametric model was proposed, where two of the model parameters are the coordinates of the OD center. Using as experimental data samples of vessel centerline points and corresponding vessel directions, provided by any vessel identification procedure, model parameters were identified by means of a simulated annealing optimization technique. These estimated values provide the coordinates of the center of OD. A Matlab/spl reg/ prototype implementing this method was developed. An evaluation of the proposed procedure was performed using the set of 81 images from the STARE project, containing images from both normal and pathological subjects. The OD position was correctly identified in 79 out of 81 images (98%), even in rather difficult pathological situations.

我们在此提出一种新方法，用于识别视网膜眼底图像中视盘（OD）的位置。该方法基于对视网膜主要血管的初步检测。所有视网膜血管都起源于视盘，并且它们的路径在所有图像中都遵循类似的方向模式（抛物线走向）。为了描述图像中任何给定位置视网膜血管的一般方向，提出了一个几何参数模型，其中两个模型参数是视盘中心的坐标。利用任何血管识别程序提供的血管中心线点及其对应方向的实验数据样本，通过模拟退火优化技术识别模型参数。这些估计值提供了视盘中心的坐标。开发了实现该方法的Matlab原型。使用STARE项目中的81张图像（包含正常和病变受试者的图像）对所提方法进行了评估。在81张图像中，有79张（98%）正确识别了视盘位置，即使在相当困难的病变情况下也如此。

We have developed a method to study the statistical properties of the noise found in various medical images. The method is specifically designed for types of noise with uncorrelated fluctuations. Such signal fluctuations generally originate in the physical processes of imaging rather than in the tissue textures. Various types of noise (e.g., photon, electronics, and quantization) often contribute ...

我们开发了一种研究各种医学图像中噪声统计特性的方法。该方法专门设计用于具有不相关波动的噪声类型。此类信号波动通常源于成像的物理过程，而非组织纹理。各种类型的噪声（例如，光子噪声、电子噪声和量化噪声）常常共同作用...

A computer-aided diagnosis (CAD) algorithm identifying breast nodule malignancy using multiple ultrasonography (US) features and artificial neural network (ANN) classifier was developed from a database of 584 histologically confirmed cases containing 300 benign and 284 malignant breast nodules. The features determining whether a breast nodule is benign or malignant were extracted from US images th...

利用来自584例组织学确诊病例（包括300个良性及284个恶性乳腺结节）的数据库，开发了一种基于多项超声（US）特征及人工神经网络（ANN）分类器的计算机辅助诊断（CAD）算法，用于识别乳腺结节的恶性程度。确定乳腺结节为良性或恶性的特征从超声图像中提取。

In this paper, we describe an approach to content-based retrieval of medical images from a database, and provide a preliminary demonstration of our approach as applied to retrieval of digital mammograms. Content-based image retrieval (CBIR) refers to the retrieval of images from a database using information derived from the images themselves, rather than solely from accompanying text indices. In t...

本文描述了一种从数据库中基于内容的医学图像检索方法，并初步展示了该方法在数字乳腺X线摄影检索中的应用。基于内容的图像检索（CBIR）是指利用图像本身的信息（而非仅依靠伴随的文本索引）从数据库中检索图像。

Changes in retinal vessel diameter are an important sign of diseases such as hypertension, arteriosclerosis and diabetes mellitus. Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis as the typical vessel is only a few pixels wide. This paper presents an algorithm to measure the vessel diameter to subpixel accuracy. The diameter...

视网膜血管直径的变化是高血压、动脉硬化和糖尿病等疾病的重要标志。由于典型血管只有几个像素宽，在自动视网膜图像分析中，获得精确的血管宽度测量是一个关键且要求高的过程。本文提出了一种算法，用于测量血管直径达到亚像素精度。直径...

We propose a method for brain atlas deformation in the presence of large space-occupying tumors, based on an a priori model of lesion growth that assumes radial expansion of the lesion from its starting point. Our approach involves three steps. First, an affine registration brings the atlas and the patient into global correspondence. Then, the seeding of a synthetic tumor into the brain atlas prov...

我们提出了一种在存在大型占位性肿瘤时进行脑图谱变形的方法，该方法基于病变生长的先验模型，该模型假设病变从其起始点径向扩张。我们的方法包括三个步骤。首先，仿射配准使图谱与患者图像全局对应。然后，将合成肿瘤植入脑图谱中...

Tagged magnetic resonance imaging (MRI) is unique in its ability to noninvasively image the motion and deformation of the heart in vivo, but one of the fundamental reasons limiting its use in the clinical environment is the absence of automated tools to derive clinically useful information from tagged MR images. In this paper, we present a novel and fully automated technique based on nonrigid imag...

标记磁共振成像（MRI）在无创成像心脏在体运动和变形方面具有独特能力，但限制其在临床环境中使用的基本原因之一是缺乏从标记MR图像中自动提取临床有用信息的工具。在本文中，我们提出了一种基于非刚性图像配准的新型全自动技术

The aim of this paper is to present a hybrid approach to accurate quantification of vascular structures from magnetic resonance angiography (MRA) images using level set methods and deformable geometric models constructed with 3-D Delaunay triangulation. Multiple scale filtering based on the analysis of local intensity structure using the Hessian matrix is used to effectively enhance vessel structu...

本文旨在提出一种混合方法，使用水平集方法和通过三维Delaunay三角剖分构建的可变形几何模型，从磁共振血管成像（MRA）图像中精确量化血管结构。基于Hessian矩阵分析局部强度结构的多尺度滤波被用来有效增强血管结构...

Respiratory-induced cardiac deformation is a major problem for high-resolution cardiac imaging. This paper presents a new technique for predictive cardiac motion modeling and correction, which uses partial least squares regression to extract intrinsic relationships between three-dimensional (3-D) cardiac deformation due to respiration and multiple one-dimensional real-time measurable surface inten...

呼吸引起的心脏变形是高分辨率心脏成像的主要问题。本文提出了一种新的预测性心脏运动建模与校正技术，该技术使用偏最小二乘回归来提取由于呼吸引起的三维心脏变形与多个一维实时可测量的表面强度...之间的内在关系。

Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm for intramodality MR brain images of different subjects using wavelet-based attribute vectors (WAVs) defined on every image voxel. The attribute vector (AV) is extracted from the wavelet subimages and reflects the image s...

在解剖图像中找到点对应是形状分析和可变形配准的关键步骤。本文提出了一种针对不同受试者的同模态MR脑图像的自动对应检测算法，使用基于小波的属性向量（WAV），定义在每个图像体素上。属性向量（AV）从小波子图像中提取，反映图像s...

As medical ultrasound imaging moves to larger apertures and higher frequencies, tissue sound-speed variations continue to limit resolution. In geophysical imaging, a standard approach for estimating near-surface aberrating delays is to analyze the time shifts between common-midpoint signals. This requires complete data-echoes from every source/receiver pair in the array. Unfocused common-midpoint ...

随着医学超声成像向更大孔径和更高频率发展，组织声速变化继续限制分辨率。在地球物理成像中，估计近地表像差延迟的标准方法是分析共中心点信号之间的时间偏移。这需要阵列中每个源/接收器对的完整数据回波。非聚焦共中心点...

In order to improve the resolution of contrast-assisted imaging systems, we have created a high-frequency destruction/contrast replenishment imaging system with a spatial resolution of 160 /spl mu/m /spl times/ 160 /spl mu/m. The system utilizes a 1-MHz cylindrically focused transducer for destruction and a 25-MHz spherically focused transducer for pulse/echo imaging. Speckle tracking and a clutte...

为了提高对比辅助成像系统的分辨率，我们创建了一种高频破坏/对比再填充成像系统，空间分辨率为160微米×160微米。该系统利用1 MHz柱面聚焦换能器进行破坏，25 MHz球面聚焦换能器进行脉冲/回波成像。斑点追踪和滤波器...

A modeling approach is presented for quantitative burn scar assessment. Emphases are given to: 1) constructing a finite-element model from natural image features with an adaptive mesh and 2) quantifying the Young's modulus of scars using the finite-element model and regularization method. A set of natural point features is extracted from the images of burn patients. A Delaunay triangle mesh is the...

提出了一种定量评估烧伤疤痕的建模方法。重点包括：1) 从自然图像特征构建自适应网格的有限元模型，2) 利用有限元模型和正则化方法量化疤痕的杨氏模量。从烧伤患者的图像中提取一组自然点特征。采用Delaunay三角网格...

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

介绍本期期刊的目录。

Provides notice of upcoming conference events of interest to practitioners and researchers.

为从业者和研究人员提供即将举行的会议活动的通知。

This page or pages intentionally left blank.

此页或这些页面故意留空。

Provides a listing of current committee members and society officers.

提供当前委员会成员和学会官员名单。

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

为有意提交稿件的作者提供说明和指南。

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

诚邀潜在作者提交新的、未发表的稿件，以便纳入本次征文通知中描述的即将举行的活动。