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Description: This a collection of utilities for warping of MRI image volumes.
See the man pages for documentation.
The warp method is described in detail in the following paper
Enhancing the Multivariate Signal of 15-O water PET Studies With a
New Non-Linear Neuroanatomical Registration Algorithm
IEEE Transactions on Medical Imaging, 1999, 18(6), p306-19
-This a collection of utilities for warpi Vi of MRI image volumes. See the man pages for doc umentation. The warp method is described in det annexed in the following paper Enhancing the Multiv ariate Signal of 15-O water PET Studies With a Ne w Non-Linear Registration Al Neuroanatomical gorithm IEEE Transactions on Medical Imaging, 1999, 18 (6), p306-19
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Author: 胡顺波 |
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Description: 用于transmission图像重建的一些算法，大部分针对的是monoenergetic发射源
This directory contains transmission tomography reconstruction algorithms,
mostly for monoenergetic sources, e.g., PET and SPECT transmission scans.
-Transmission image reconstruction for a number of algorithms, most aimed at launching monoenergetic source This directory contains transmission tomography reconstruction algorithms, mostly for monoenergetic sources, eg, PET and SPECT transmission scans.
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Author: 张张 |
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Description: 基于边缘特征的图像配准算法源码
基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域：
（1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究；
（2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合；
（3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等；
（4）计算机视觉，可用于目标定位、自动质量控制等；
（5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。
本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。-Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.
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Author: YYK |
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Description: 这是一本关于医学图像CT重建数学问题，对于学习PET医学图像处理有参考价值-This is a CT reconstruction of medical images on the mathematical problem, for the PET study of medical image processing reference
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Author: houhua |
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Description: pet analyze image:
a non-negative matrix factorization code for pet analysis
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Size: 6526976 |
Author: 吴彬麟 |
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Description: 可以通过计算机断层技术(CT)、磁共振成像(MRI)、正电子计算机断层扫描（PET）和超声(US)等医学影像技术得到病人病变部位的一组二维断层图像。二维平面图像主要用于显示平面图像中人们感兴趣的区域。通过研究对象的一组平行截面图重建物体的三维图像是计算机图形学和医生的一个重要的研究方向。
-By computed tomography technology (CT), magnetic resonance imaging (MRI), is computer tomography (PET) and ultrasound (US) and other medical imaging technology is a group of patients with lesions of the two-dimensional CT images. Two-dimensional image is used to display graphic images in people' s areas of interest. By studying the object of a set of parallel sections of the three-dimensional image reconstruction of objects in computer graphics and a doctor is an important research direction.
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Author: liaozw |
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Description: Display 3D Images
Matlab三维图像显示(DICOM MR CT PET等)
2009年02月17日
MATLAB 7 (R14)
这是一个三维图像显示的Matlab实例程序。支持DICOM MR CT PET等图像格式。并且可以对每一帧进行图像处理，如直方图均衡、绘制，反色等。
-Display 3D Images Matlab three-dimensional image display (DICOM MR CT PET and so on) February 17, 2009 MATLAB 7 (R14) This is an example of three-dimensional image display of the Matlab programs. Support for DICOM MR CT PET and other image formats. And can carry out image processing for each frame such as histogram equalization, draw, color reverse.
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Author: 鲁冰 |
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Description: 有关EM算法的经典文章,都是国外大牛的创新大作
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Size: 17675264 |
Author: wang wang |
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Description: PET图像后处理，包括二值化、梯度化等等，重点是分水岭算法。其中包括高斯滤波和平滑滤波两种-PET image post-processing, including binary, gradient and so forth, with emphasis on watershed algorithm
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Description: Medical Image Fusion in Breast Cancer.
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Author: mitesh |
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Description: PET图像重建算法研究及实现，理论研究，PET图像重建算法研究及实现-PET image reconstruction algorithm and theoretical studies of PET image reconstruction and to achieve
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Author: 周 |
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Description: 应用于PET的蒙特卡罗仿真方面的资料，可以用来作为指导性文献-monte carlo simulation that is applied in the pet image reconstruction.
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Author: Jenny |
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Description: 本程序基于matlabGUI，实现以下功能：读取ct pet 图像，实现矢状面 冠状面，区域增长，肿瘤识别，图像融合等！-The program is based matlabGUI the following functions: read CT pet image, the sagittal coronal plane, regional growth, tumor recognition, image fusion!
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Author: 刘冰 |
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Description: matlab gui程序可以读取PEt和ct图像！十分好用，强力推荐！界面简洁实用！-matlab gui program can read the PET and CT images! Very easy to use, highly recommended
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Author: 刘冰 |
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Description: this a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.-this is a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.
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Author: renjith149 |
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Description: 1、读取显示所给PET图像（SE2\IM210）。
2、学习imhist函数，画出所给PET图像的直方图。
3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸
部轮廓等解剖结构可见。
4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区
域内图像灰度均值、方差、最大值及最小值。-1 give PET images displayed, read (SE2 \ IM210).
2, learning, imhist function, draw the give PET image histogram.
3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom
Outline of anatomical structures such as visible.
4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area
In the domain of image grayscale average and variance, the maximum and minimum values.
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Author: 简溪 |
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Description: This example uses two 3-D images of the same patient s head. In
registration problems, we consider one image to be the fixed image and
the other image to be the moving image. The goal of registration is to
align the moving image with the fixed image. In this example, the fixed
image is a T1 weighted MRI image. The moving image that we want to
register is a CT image. The data is stored in the file format used by the
Retrospective Image Registration Evaluation (RIRE) Project. -This example uses two 3-D images of the same patient s head. In
registration problems, we consider one image to be the fixed image and
the other image to be the moving image. The goal of registration is to
align the moving image with the fixed image. In this example, the fixed
image is a T1 weighted MRI image. The moving image that we want to
register is a CT image. The data is stored in the file format used by the
Retrospective Image Registration Evaluation (RIRE) Project.
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Size: 549888 |
Author: N.emimal |
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Description: The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful
regions is perhaps the main roadblock in the automation of biomedical image analysis. Whether the modality of choice is MRI, PET, ultrasound, SPECT, CT, or one of a myriad of microscopy platforms, image segmentation is a vital step in analyzing the constituent biological or medical tar
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Author: didi |
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Description: Medical Image fusin LPT
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Author: Ahmed |
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Description: Medical Fusion image DWT
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Author: Ahmed |
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