ABSTRACT
According to the patient examination criterion and the demands of all related departments, the DSA digital subtraction workstation has been successfully designed and is introduced in this paper by analyzing the characteristic of video source of DSA which was manufactured by GE Company and has no DICOM standard interface. The workstation includes images-capturing gateway and post-processing software. With the developed workstation, all images from this early DSA equipment are transformed into DICOM format and then are shared in different machines.
Subject(s)
Angiography, Digital Subtraction , Methods , Image Processing, Computer-Assisted , Software Design , User-Computer InterfaceABSTRACT
After extracting definition measurements by different focus functions from the images, a novel autofocus algorithm which combines them with principal component analysis (PCA) and considers the first principal component as the final measurement, is presented in this paper. The experiment results with 70 groups of images show that this algorithm increases the difference between the definition measurements of the images and provides higher focusing accuracy in comparison with other single ones.
Subject(s)
Algorithms , Image Processing, Computer-Assisted , Methods , Microscopy , Methods , Principal Component AnalysisABSTRACT
This article used support vector machine (SVM) algorithm to recognize the particles in urine sediment in this paper. After feature extraction, cross-validation method and the contour chart of the accuracy were implemented to select the kernel function and the parameters of SVM, and according to the characteristics of SVM classifier and sample data, Multi-SVMs with two-level-classifier was successfully designed and A classification matrix was eventually obtained. The evaluation by using clinical data and comparative results with the artificial neural network have demonstrated that the proposed algorithm gets better results.
Subject(s)
Humans , Algorithms , Artificial Intelligence , Particle Size , Pattern Recognition, Automated , Methods , Urine , ChemistryABSTRACT
This paper introduces the design and implementation of a system which can get the NEMA2.0 image data from the hard disks of the imaging equipments directly,then analyzes and transforms these image data into the DICOM3.0 image data and sends them to the image server. The design has the advantages of reliable image quality, low cost and information.
Subject(s)
Computer Storage Devices , Diagnostic Imaging , Image Processing, Computer-Assisted , Methods , Signal Processing, Computer-Assisted , SoftwareABSTRACT
A fast microscopic image mosaicing method is proposed in this paper by making a study of the mosaic methods and the characteristics of microscopic images. In the paper, invariant local features based on normalized moment of inertia (NMI) are used to select the matching points and calculate the spatial translation. The experimental results demonstrate that this algorithm can achieve fast, effective microscopic image mosaicing.
Subject(s)
Algorithms , Image Enhancement , Methods , Photomicrography , MethodsABSTRACT
A new algorithm using the geometric active contour model with the fusion of color and intensity priors to segment medical images is presented in this paper. The prior knowledge used here are firstly defined in different color spaces and represented as thresholds searched by the genetic algorithm. Then the prior knowledge is merged into active contour model with its contour evolution by the level set technique. The experiments on clinical marrow images and mammograms have successfully demonstrated its superiority of the proposed algorithm over the existing active contour models which deal with image gradient information.