Three-dimensional registration method for lung CT
A three-dimensional registration and lung technology, applied in 3D image processing, image data processing, instruments, etc., can solve the problems of inability to provide corresponding results and low functional accuracy, and achieve the effect of improving diagnostic efficiency and accurate registration
Inactive Publication Date: 2017-02-15
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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[0005] In some PACS (Picture Archiving and Communication Systems) systems, although the function of automatically locating similar tomographic images is provided, the accuracy of this function is not high, and it only performs matching between faults. Multiple nodules, this method does not provide valid corresponding results
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[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. These more detailed descriptions are intended to help the understanding of the present invention and should not be used to limit the present invention. From the present disclosure it will be apparent to those skilled in the art that the present invention may be practiced without some or all of these specific details. In other instances, well known operating procedures have not been described in detail in order not to obscure the invention.
[0028] Such as figure 1 As shown, the three-dimensional registration method of lung CT includes the following steps:
[0029] Step S1, loading the first lung CT volume data and the second lung CT volume data. The first lung CT volume data and the second lung CT volume data are lung CT volume data of the same subject at different times or under different detection conditions.
[0030] Step S2. Using mutual informat...
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The invention relates to a three dimensional matching method for lung CT. The three dimensional matching method comprises steps that: first lung CT body data and second lung CT body data are loaded, mutual information is taken as matching measure, three dimensional rigid matching for the first lung CT body data and the second lung CT body data is carried out to make lung portion areas of the two are aligned integrally, displacement parameters and rotating parameters in three directions of X, Y and Z axes are recorded and are taken as first matching parameters; on the basis of rigid matching, non-rigid matching is carried out, the optimal displacement field of the non-rigid matching is recorded and is taken as the second matching parameter; the first matching parameters and the second matching parameter are utilized to carry out matching of nodules in the first lung CT body data and the second lung CT body data to establish corresponding relations. The three dimensional matching method can realize accurate matching, a nodule focus at the same position is enabled to automatically correspond to imaging positions in different CT data by utilizing the matching result, and thereby the method is convenient for a doctor to contrast nodule disease development conditions.
Description
technical field [0001] The invention belongs to the technical field of computer vision and image processing, and in particular relates to a three-dimensional registration method of lung CT. Background technique [0002] According to WHO's 2008 global cancer epidemiological statistics (GLOBOCAN2008), in 2008 alone, there were 12.7 million global cancer cases and 7.6 million deaths [1], among which, all new cancer cases in China were 2.8 million, which were new cancer cases in the United States In the same year, the number of cancer deaths in China was 1.96 million, while that in the United States was 570,000, and the gap between the two was 3.4 times. Malignant tumors account for more than 20% of the causes of death in our country. According to Bernard Stewart, head of the WHO International Cancer Research Council, the global cancer incidence rate will increase by 50% by 2020. [0003] The key to improving the five-year survival rate of tumor patients is how to detect and d...
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IPC IPC(8): G06T3/00G06T7/00G06T15/00A61B6/03
Inventor 袁克虹于川汇
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV