当今对医学成像技术的要求越来越高，研究也越来越广泛。
Today medical imaging technology is used more widely and has been advanced more.
光学层析成像是近年来广为关注的一种新型医学成像技术。
As a novel imaging modality for medical purpose, optical tomography has received much attention in recent years.
超声由于不使用电离辐射，与摄片，CT扫描和核医学成像技术，它通常被认为更安全。
Because ultrasound does not use ionizing radiation, unlike radiography, CT scans, and nuclear medicine imaging techniques, it is generally considered safer.
核磁共振成像是一种先进的医学成像技术，它可以提供有关人体软组织解剖结构丰富的信息。
MRI (Magnetic Resonance imaging) is an advanced medical imaging technique providing rich information about the human soft tissue anatomy.
除了少数情况外，放射性检查，包括X光片，计算机断层扫描(CT)或核医学成像技术的辐射暴露的剂量远低于会损伤胎儿的暴露。
With few exceptions, radiation exposure through radiography, computed tomography (CT) scan, or nuclear medicine imaging techniques is at a dose much lower than the exposure associated with fetal harm.
如果这些初期成果能在大规模实验中得到验证，这项新技术将和医学成像一道成为诊断癌症的简便方法。
If we can confirm these initial results in large-scale studies, this new technology could become a simple tool for early diagnosis of cancer, along with imaging.
目的探讨同步辐射技术用于医学成像的应用价值。
Objective To investigate the clinical potential of synchrotron radiation on medical imaging.
概述了各种超声医学成像换能器现状，以及换能器聚焦和数字波束成像技术。
This article introduces many kinds of ultrasonic transducers, transducer focus, and digital beam forming technology.
现代医学成像的技术越来越成熟，可根据要求而提供不同模态不同特点的图像。
The technology of modern medical image is more and more mature that it could present medical images of different modes and different features.
光学相干层析技术(oct)是一种新型的医学成像手段。
Optical coherence tomography (OCT) is a newly developed medical imaging method.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
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