搜索资源列表
toolbox_fast_marching
- The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.
3DMed_OpenSource
- 这是一个3D医学图像处理软件，可以对图像进行分割和配准，对于三维和二维的医学图像都可以使用。-This is a 3D medical image processing software, you can image segmentation and registration for three-dimensional and two-dimensional medical images can be used.
Slicer-3.6-Tutorials3
- 3D Slicer软件的案例教程第三部分，易学易用。3D Slicer是医学图像的可视化软件，开源免费多平台。 -3D Slicer training portfolios. A software platform for the analysis and visualization of medical images.
51622408Demo001
- 基于三维空间三角网格的二维投影图像变换，包括3D仿射变换，基础矩阵求解及欧式空间的重构，对基于图像的三维重构有研究的朋友可以看下 -Medical image visualization technologies build 3D models with 2D medical image series to provide useful and precise information for the doctors. It is one of the crucial technologies
image-texture-mapping
- 这个Matlab程序实现了二维图像到三维图像的纹理映射功能。作者原本，把它用于MRI医学图像中。-The Matlab program achieved a two-dimensional image into three-dimensional image texture mapping function. Author of the original, it used in MRI medical images.
CT
- 一部讲CT图像重建很经典的书籍，涉及很多原理与算法方面的东西-A talk about the reconstruction of CT images of the classic books, the principle involves a lot of things with the algorithm
2D3D-registration
- 数字影像重建在基于灰度的2D／3D医学图像配准技术中具有重要作用。它是利用基于射线追踪算法从三维数据如CT中获得二维虚拟x线图像。影像重建结果的质量直接影响到配准结果的精度。本文对数字影像重建技术作了一定的探讨，实现了对cT体数据的数字影像重建，并通过增强技术获得了突出骨组织的图像，为后续的配准研究做了很好的准备工作。-Digital image reconstruction in intensity based 2D/3D medical image registration techniqu
CT256
- 该上传的256张CT图片是高质量的DICOME格式人类头骨的连续序列切片图，可直接用于医学三维重建或体绘制。-The upload of 256 CT images are of high quality DICOME form a continuous sequence of the human skull slice diagram can be directly used in medical 3D reconstruction or volume rendering.
SyntheticMethodsfortheMedicalImageProcessingand3DR
- 医学图象处理及其三维重建是目前研究的热点问题，它涉及计算机图形学、数字图像处理计算机视觉、以及人机交互技术。 医学图像预处理与三维重建是可视化技术的核心环节，二者直接关系着三维可视化的效果和速度。本文介绍了灰度变换噪声消除以及 伪彩色编码等图像预处理技术。然后着重探讨了三维重建技术中的体绘制和面绘制算法以及这两种算法的优点和不足。最后总结了网格消减算法，并利用它对MC算法进行表面网格简化。 -Medical processing and 3D reconstruction is a
Automatic-Branch-Decomposition-for-Tubular-Structu
- 用于检测3D血管图像的分叉点的一个程序，文件夹内还有说明文档，详细介绍了该程序的算法。是用itk库做的一个通用模板类，还有例子。- Branches of tubular structures (vasculature, trachea, neuron, etc.) in medical images are critical for the topology of these structures. In many applications,
Summer-2010-Tutorial-Contest
- 3D Slicer软件的案例教程（2010年夏天新的教程），易学易用。3D Slicer是医学图像的可视化软件，开源免费多平台。-3D Slicer training portfolios(Summer 2010). A software platform for the analysis and visualization of medical images.
3D-reconstuction-method-base-on-FFT
- 面向断层医学图像的三维重建与关键技术研究-Three-dimensional reconstruction of key technology research for Medical Images
NUAGES_SRC.tar
- 平行切片图像的3D重建，用于医疗领域。 程序支持的文件格式：obj 格式, DXF 格式, iv 格式, VRML 格式, STL（立体印刷）格式 off 格式.-The parallel slice images of 3D reconstruction for the medical field. The program supported file formats: obj format, DXF format, iv formats, VRML format, STL (3D
MICCAIworkshopCVII
- The segmentation of structure from 2D and 3D images is an important rst step in analyzing medical data. For example, it is necessary to segment the brain in an MR image, before it can be rendered in 3D for visualization purposes. Segmentation
MICCAIworkshopCVII_2
- The segmentation of structure from 2D and 3D images is an important rst step in analyzing medical data. For example, it is necessary to segment the brain in an MR image, before it can be rendered in 3D for visualization purposes. Segmentation
VTK-based-on-VCPP
- 首先介绍了医学图像三维重建的面绘制与体绘制方法，讨论了两种绘制方法的思想和优缺点，对常用的Marching Cubes算法和Ray Casting算法的原理和实现过程进行了阐述，并分析了可视化工具包VTK的实现机制。在VC++6．0平台下，结合可视化工具包VTK，分别基于Marching Cubes算法和Ray Casting算法对DICOM格式的CT图像序列进行三维重建，并给出了其实现的关键算法和3D可视化结果。通过人机交互，实现对重建后三维医学图像的旋转、缩放、平移等简单的交互操作。其次，通
fdk
- 医学图像三维重建算法中比较简单使用的fdk算程序，该程序使用S-L滤波函数-The use of relatively simple FDK program for calculation of 3D reconstruction of medical images, the program uses the S-L filter function
2009-0003
- 医学图像配准，2D_3D医学图像配准论文-In 2D-3D Medical Image Registration (MIR), preoperative 3D CT images are registered with intraoperative 2D X-rays images obtained by fluoroscopy or Electronic Portal Imag- ing Devices (EPID). 2D-3D MIR is established by compu
DecisionForest_v3.1
- [1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, Tracking Tetrahymena Pyriformis Cells using Decision Trees , 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012. [2] Q
hessian_frangi_filter_version2a
- 基于Hessian矩阵增强提取二维或三维医学图像中的血管(Vessel enhancement and extraction from 2D or 3D medical images)