Title
Improved Marching Cubes Algorithm For 3d Multi-slice Spiral Computed Tomography In the Diagnosis of Bone and Joint Diseases
Abstract
Objective: To enhance the diagnosis of bone and joint diseases based on improved marching cubes (MC) algorithm applied to 3D multi-slice spiral CT. Method: 3D Multi-slice spiral CT of bone and joint was performed in several patients, and the improved MC algorithm was used in the CT image. Three kinds of 3D techniques, volume rendering technique (VRT), surface shaded display (SSD) and multi-planar reformation (MPR), were used to compare the CT images before and after the application of the improved MC algorithm, and the results were compared with those of pathological diagnosis. Results: Based on the improved MC algorithm, the results of MPR are satisfactory., and we can observe the changes of bone density, shape, size and adjacent soft tissue in multi-plane. 3D VRT is more intuitive, stereoscopic and accurate in understanding the location and spatial relationship of lesions, and simplifies thinking. SSD images can show the infected sites of bone and joint, which is helpful for observing the pathological infection of bone and joint and the anatomical joints of adjacent joints. VRT can show the specific situation of bone and joint infection, bone surface debris from the outside and so on. Compared with the improved MC algorithm, it can observe the pathological location more intuitively and has a higher diagnostic rate. The improved MC algorithm can avoid the topological ambiguity existing in the traditional MC algorithm, and improve the image reconstruction efficiency. Conclusion: The technique of multi-slice spiral CT with improved MC algorithm has high application value in the diagnosis of bone and joint diseases. Multi-slice spiral CT multiplanar reconstruction with improved MC algorithm can provide accurate and clear image information. 3D VRT is more intuitive, stereoscopic and accurate in understanding the location and spatial relationship of lesions. Simplified thinking has a good guiding significance for defining clinical diagnosis and treatment.
Year
DOI
Venue
2019
10.1166/jmihi.2019.2684
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
Keywords
DocType
Volume
Texture Enhancement,Multiplanar Reconstruction,Image Reconstruction,Marching Cubes,CT Imaging
Journal
9
Issue
ISSN
Citations 
5
2156-7018
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Junhua Wu100.34
Dezhou Zhang200.34
Xuebing Yi300.34
Fei Luo400.34
Tao Zhang500.34