Objective Brain image segmentation is of utmost importance in planning surgical procedures and diagnoses of brain diseases, and the segmentation based on automatic algorithm is needed.
目的脑图像分割在外科手术规划和脑疾病诊断等方面都起着极为重要的作用，建立脑图像分割的自动策略成为一种需要。
Image fusion is a research focus of medical image processing. Proper registrations were desired in clinical diagnoses and therapy to obtain complementary information from multi modality images.
医学图像融合是医学图像后处理的研究热点，它充分利用多模式图像，获得互补信息，使临床的诊断和治疗更加准确完善。
Using the technologies of image fusion, we can combine the multimodality medical image information efficiently which is very helpful for clinical diagnoses and treatment.
利用图像融合技术，将不同模态的医学图像有机地结合在一起，可以充分利用各种医学图像的优点，为临床诊断和治疗提供帮助。
Medical image is very important information for medicinal diagnoses and disease treatments, and with more important value in clinic.
医学图像是医学诊断和疾病治疗的重要根据，在临床上具有非常重要的应用价值。
Thus the image pre-processing made foundation for following effective characteristic parameters for the disease diagnoses and for setting up mode recognition sys - tem.
从而为后续提取有效的病害诊断特征参数和建立模式识剐系统奠定了基础。
Image segmentation is a key basis of many higher level image processing activities such as visualization, compression, and image guided medical diagnoses.
图像分割是很多高级图像处理技术(如可视化、图像压缩、医学图像诊断等)的重要基础工作。
Medical laser film printer is an important part of medical image equipments, and has key function in diagnoses.
医用激光胶片打印机是现代医学影像设备的重要部分，对医学诊断起着关键作用。
In addition to remove the noise in MRI image, the experimental results show that our method had preserved the details of MRI image. It was propitious to medical diagnoses.
实验结果表明该方法在有效去除噪声的同时，较好地保留了MRI图像的细节，有利于医学的诊断。
Methods:34 patients with protrusion of cervical intervertebral disc whose diagnoses were confirmed by clinical and image examination were examined by EMG of deep layer muscle of neck.
方法：对34例经临床和影像学检查确认为颈椎间盘突出的患者，进行颈部深层肌肌电图测定。
Methods:34 patients with protrusion of cervical intervertebral disc whose diagnoses were confirmed by clinical and image examination were examined by EMG of deep layer muscle of neck.
方法：对34例经临床和影像学检查确认为颈椎间盘突出的患者，进行颈部深层肌肌电图测定。
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