英国大学论文怎么写:磁共振原理
从一组连续的2 d图片通常获得的磁共振成像(MRI)技术或电脑断层摄影术(CT)的3 d健康理想重建相关的跨度。核磁共振成像是利用生产结构的照片适度柔软的人体组织CT提供数据密集的建筑如骨。作为插图,重建的三维模型从轴向CT / MRI片的安排体现了无数的时期(Khalid Abd和Elghany博士,2003)。改变一堆图片体积数据获得CT图像数据堆叠和插值。减少噪音的数据预处理。thresh-holding的体积数据,未来3 dsegmentation给分离关注的对象根据詹金斯PJ,瓦AC,et al(2013)。采用不同的渲染算法的对象是可视化。3 d-doctor(美国能软件)和模仿(实现、比利时)包含这些接受多媒体计划提供这些的目的。这里,这段时期简要描述(Andreas格布哈特,2003)。
英国大学论文怎么写:磁共振原理
平均DICOM(医学数字成像和接触)格式的2 d图片存储通常包括关于安排生产特点,病人,扫描的病人和扫描研究所。512 x512像素通常体现在每一个图片。数值值分配给每一个像素(f(x,y)]的标准化规模Hounsfield成分范围内(-1000 + -1000)。骨头有胡锦涛通常的好处在400年和1000年胡锦涛和水的零。随着CT / MRI片获得工艺体积(或体素)模型从而它们堆在协会。体素的大小可以设置为等于像素大小根据Rolf O,Gohlke F(2004)。下一个线性插值在相邻切片是抓住生产失踪片如果片间厚度比像素大小的。获得的图像可能包含声音,通常是采用不同测量声音比(蔡。C.k。梁,K.F.,2000)
英国大学论文怎么写:磁共振原理
It is from a contiguous set of 2D pictures which are normally acquired from Magnetic Resonance Imaging (MRI) techniques or computerized tomography (CT) that the 3D health ideal of the relevant span is reconstructed. MRI is utilized to produce structural pictures of moderately soft human body tissues as CT provides data of dense constructions such as bone. As illustrated, Reconstruction of 3D models from an arrangement of axial CT/ MRI slices embodies uncountable periods (Dr. Khalid Abd and Elghany, 2003). To change a stack of pictures into volumetric data the acquired CT picture data is stacked and interpolated. To cut the noise the interpolated data are pre-processed. It is by thresh-holding of volumetric data that the next 3Dsegmentation is given to segregate the objects of attention according to Jenkins PJ, Watts AC, et al (2013). Employing a distinct rendering algorithm the objects are visualized. 3D-Doctor (Able Software, USA) and MIMICS (Materialize, Belgium) contains these Accepted multimedia plans that furnish these purposes. Here, these periods are delineated briefly (Andreas Gebhardt, 2003).
英国大学论文怎么写:磁共振原理
In average DICOM (Digital Imaging and Contact in Medicine) format the 2D pictures are stored normally where includes characteristics regarding arrangement producer, the patient, scanning serving of patient and scanning institute. Normally 512×512 pixels are embodied by every single picture. A numerical worth is allocated to every single pixel [f(x,y)] on a normalized scale of Hounsfield constituents within the range of [-1000,+1000]. Bones have normally HU benefits amid 400 and 1000 and water has HU worth of zero. As CT/MRI slices are acquired to craft a volumetric (or voxel) model thus they are stacked in the association. The voxel size can be set as equal to pixel size according to Rolf O, Gohlke F, (2004). Next linear interpolation amid adjacent slices is grasped out to produce the missing slices if the inter-slice thickness is extra than pixel size. The acquired pictures could encompass sound, which is usually measured employing difference to sound ratio (Chua. C.k., and Leong, K.F., 2000)
