Methods X-ray medical images, including Mammography, Computed radiography and CT were compressed from 3∶1 to 40∶1 levels by using a lifting scheme CDF9/7 wavelet-based method and JPEG standard, respectively.
The goal of PACS is to utilizethe advanced technology of digital, medical image, communication andcomputer network to solve the problems of acquisition, storage, viewing, search, coding and transmission of medical images which hampered the development of modern hospitals.
The goal of PACS is to utilize the advanced technology of medical imaging and computer network to solve the problems of acquisition, storage, viewing, search, coding and delivery of medical images which delayed the development of modern hospitals.
Finally, aiming at the need of hospitaland clinic, an integrity model of 3D visualization system of medical images is presentedbased on pattern design and iterative composition, which has the functions in imagedata transfer, storage and visualization with good universality and scalability.
After the method of determining the bistoury route is anatomized, based on medical images in DICOM format, the practical implementation process of operation planning of the brain surgical robot system is illustrated.
Embedded coding of medical images with regions of interest based on 3-D zerotree
In order to satisfy the need of diagnoses, based on the characteristic of medical images that a sequence of frames are formed in one body inspection, a new strategy for medical images compression is proposed.
Medical images are compressed by three-dimensional embedded coding with the compression of regions of interest.
In this paper, we take medical images as an example to analyze this limitation.
One is how to determine the number of clusters in an image and the other is how to segment medical images containing lesions.