图像融合是医学图像处理中的关键技术。
Image fusion is a key technology in medical images progressing.
图像融合是医学图像处理中的关键技术。
Image fusion is a key technology on medical images progressing.
图像放大技术是医学图像处理中的重要领域。
Image magnification is an important technology in medical image processing.
医学图像分割是医学图像处理中的一个经典难题。
Medical image segmentation is a classical puzzle for researchers.
医学显微图像分割是医学图像处理中的一个经典难题。
Microscopic medical image segmentation is a problem in medical image process.
图像配准技术在医学图像处理领域中已经被广泛应用。
Image registration technique is widely used in medical image processing.
医学图像分割，也是医学图像处理和分析的基础与难题。
Also, Medical image segmentation is the foundation and difficulty in image processing and analysis.
研制和开发计算机辅助诊断系统是医学图像处理的一个热点。
Research and development of computer-assisted diagnosis system is a hot topic in the area of medical image processing.
对图像分割进行了研究，这是医学图像处理中的关键问题之一。
This paper focuses on the image segmentation, which is one of the key problems in medical image processing.
提出了一种用于多模态医学图像处理的特定区域轮廓提取算法。
This paper approves a novel contour extraction algorithm of special region to resolve the problems in multi - mode medical image registration.
去除噪声，增强图像以提高图像质量是医学图像处理的重要课题。
Removing noise and enhancing image to improve the quality of image is the important item of medical image processing.
医学图像可视化是医学图像处理领域中一个十分重要而有价值的部分。
Visualization in medical image is an important part of medical image processing. There is only a short time since it came into being. Its basic theories and applications are under developed.
该方法较传统算法更精确和稳健，可在医学图像处理和分析中发挥作用。
This method is more accurate than traditional algorithms and robust, and it can play a role in the medical image processing and analysis.
医学图像配准作为图像融合的先决条件，它的研究是医学图像处理领域的热点。
Medical image registration as a prerequisite for image fusion, its research is a hot in the area of medical image processing.
图像分割是遥感和医学图像处理的基础技术之一，但是目前缺乏工程化通用算法。
Image segmentation is one of the basic technologies in remote sensing and medical image processing but it lacks current algorithm for engineering applications.
近年来，基于可变模型的图像处理技术在医学图像处理和分析领域得到了广泛应用。
In recent years, image processing technique based on deformable models has been widely used in the field of medical image processing and analysis.
点云数据拼接在逆向工程、计算机视觉、医学图像处理等方面有着十分广泛的应用。
Point-clouds registration is widely applied in reverse-engineering, computer vision and medical imaging, etc.
医学图像配准技术起源于二十世纪九十年代，目前已成为医学图像处理领域热点之一。
The techniques of medical image registration originated in the ninety's of twentieth century, has become one of the most important research fields of medical image processing.
主要从事生物医学信号处理、医学图像处理、医疗仪器开发、模式识别等方面的研究工作。
Her research interests include biomedical signal processing, medical image processing, medical instrument developing and pattern recognition.
这种类型的功能可应用于各种领域，如天文学、医学图像处理、科学目视表示、气象学和摄影。
This type of functionality is applicable to various fields, such as astronomy, medical imaging, scientific visualization, meteorology, and photography.
该系统的研究是科学计算可视化技术的一个重要应用领域，是医学图像处理领域的热点问题。
The system of visualization in scientific computing is an important technology applications in the field of medical image processing is a hot issue.
对这项技术的研究将会大大提高诊断的效率和治疗的效果，也符合医学图像处理的发展趋势。
Research on this technology will greatly improve the efficiency of diagnosis and the effect of treatment, which is also coincident with the development trend of medical image processing.
采用医学图像处理和数字几何处理技术从CT图像序列中获得以三角面描述的骨组织面模型。
Medical image processing and digital geometry processing are adopted for bone triangular mesh modeling from CT image series.
医学图像的配准和融合是医学图像处理的一个新的领域，其目的是为医生提供更多的诊断信息。
Medical image registration and merging is a new area in medical image processing the purpose is to provide more diagnostic information to the physicians.
医学图像分割是医学图像处理与分析的一个重要领域，同时也是计算机辅助诊断与治疗的基础。
Medical image segmentation is an important field in image processing and analysis, and it's the basis for computer assisted diagnosis and clinical treatment.
医学图像配准是医学图像处理领域中的一项重要技术，对临床诊断和治疗起着越来越重要的作用。
Medical image registration is one of the important techniques in the field of medical image processing. It also takes a more and more important role in clinical diagnosis and therapy.
结论：对于依靠调节成像参数难以去除的弥散张量成像伪影，借助医学图像处理方法则能够有效的改善。
Conclusion: For those artifacts of DTI which cant been removed by adjusting sequence parameters, the method of medical image processing can be implemented.
医学图像配准是医学图像融合的前提，是目前医学图像处理中的热点，具有重要的临床诊断和治疗价值。
Medical image registration, as the prerequisite for medical image fusion, is a hot field in the medical image processing and commonly used for clinical diagnosis and treatment.
医学图像配准是医学图像融合的前提，是目前医学图像处理中的热点，具有重要的临床诊断和治疗价值。
Medical image registration, as the prerequisite for medical image fusion, is a hot field in the medical image processing and commonly used for clinical diagnosis and treatment.
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