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Research on Medical Image Segmentation and 3D Reconstruction

Author: GaoJia
Tutor: XuCunLu
School: Lanzhou University
Course: Circuits and Systems
Keywords: Brain tumors Image Segmentation Chan-Vese model 3D reconstruction and positioning Liver tumor volume
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 155
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Abstract


The main contents of this article are based on Chan-Vese model for brain tumor segmentation , 3D reconstruction and positioning and liver tumor volume calculation . The main work of the paper is as follows: the background and significance of the first brain tumor image segmentation , 3D reconstruction and liver tumor volume calculation described medical image segmentation method based on the classification introduced . Chan-Vese segmentation model is described in detail , and brain tumor image segmentation method based on Chan-Vese model . First extracted through iterative corrosion operating picture of brain tumor brain tumor contour , then Chan-Vese model for brain tumor segmentation , after using morphological reconstruction segmentation results further optimize and iterative expansion operation recovery image , the last image . When the segmented target boundary gradation value changes relatively moderate or split target contains a large corner or narrowband region , I the method used to obtain a better segmentation results than traditional Chan-Vese model , thereby improving the accuracy of the image segmentation . Again, the picture of a brain tumor after all partitions 3D reconstruction and positioning . 3D reconstruction is reconstructed from the two-dimensional image of the object slice images of three-dimensional information easy to medical workers to observe and analyze the diseased body from different angles . This article , with visualization tools based on surface rendering method and volume rendering method introduced VTK split brain tumor biopsies medical image 3D reconstruction and positioning , and provides a theoretical basis for the doctor's preoperative analysis . Finally, the liver tumor volume of scientific computing . Liver tumor volume can help medical workers in an objective understanding of the relevant characteristics of liver tumors , and therefore has a very important value for liver tumor volume calculation . Use liver tumor volume was calculated based on the cumulative method , and VTK calculation method , and the experimental results of the statistics .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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