Rendering method of dynamic Gaussian volume model for 3D medical images
A medical image and three-dimensional image technology, applied in the field of image processing, can solve problems such as interaction complexity, loss of structural information, and blurred target areas
Active Publication Date: 2016-07-06
SOUTHERN MEDICAL UNIVERSITY
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[0006] The purpose of the present invention is to provide a method for drawing a dynamic Gaussian volume model of a three-dimensional medical image, which can clearly display the region of interest while retaining the relevant structural information around the region of interest, so as to overcome the interaction caused by methods such as sectioning Undesirable phenomena such as loss of complexity and structural information and blurring of target regions in existing methods
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[0038] The following is the specific process of imaging a set of CT data of the head by using the method for rendering the 3D medical image dynamic Gaussian model of the present invention:
[0039] The data source used in the experiment is the OsiriX website; the GPU is the QuadroFX1700 graphics card.
[0040] Step 1. Read in the CT image. The size of the image is 512×512×460. First, normalize the image sequence data, and calculate the maximum texture coordinate to satisfy the condition: T c =2 n ,C∈{x,y,z}. T c Is the texture coordinate in the c direction, n is 2 n ≥S c The smallest integer, S c Is the dimension of the image sequence in the c direction. Save the image sequence as a three-dimensional texture for indexing the density value of the three-dimensional volume data.
[0041] Step 2. The glGetFloatv function of the Open Graphics Library (OpenGL, OpenGraphicsLibrary) can obtain a 4X4 model view matrix, and then calculate the inverse matrix invMVM[4X4] of the matrix, and use ...
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The present invention disclosed a three -dimensional medical image dynamic Gaussian model drawing method, including the following steps: (a) save the image sequence as a three -dimensional texture for the latter texture retrieval and sampling;The outer pixel attracts the rays through the body data, and the interval sampling of each rays is performed on each ray to obtain the density value at the sampling point;According to the distance and angle information of the current sampling point and focus point, build a Gaussian model to correct the opaqueity of the sampling point;Color value.This method can clearly display the internal structure of the focus area while retaining the tissue structure around the focus, unlike the traditional unified cut, achieve the effect of focus plus the following.
Description
Technical field [0001] The invention belongs to the technical field of image processing, and specifically is a method for drawing a dynamic Gaussian body model of a three-dimensional medical image. Background technique [0002] Volume rendering technology is an important aspect of medical visualization research, especially in medical diagnosis and auxiliary surgery. It has become an indispensable tool. With the rapid development of medical imaging equipment, the amount of data generated by the equipment is gradually increasing, and the tissues or parts of clinical interest are relatively small compared to the entire volume data, such as blood vessels in the head, kidneys or liver Internal lesions, lung tumors, etc. Through observation of the data, the doctor concludes that it is a very complex task. The anatomical structure of the suspicious lesion must be considered, including the size and shape of the lesion, and the relationship between its spatial location and the surroundin...
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IPC IPC(8): G06T17/00G06T15/08
Inventor 冯前进陈武凡王文化贠照强
Owner SOUTHERN MEDICAL UNIVERSITY