Guiding type virtual endoscope navigation method

Abstract

The invention discloses a guiding type virtual endoscope navigation method. The method includes firstly, segmenting a tomographic image into detected cavity voxels to be examined and background voxels; then, computing the distance from each detected cavity voxel to the nearest background voxel according to fast 3D (three-dimensional) distance transformation, and computing distance gradients to serve as internal tension; finally, dragging a virtual camera to a central position close to a detected cavity. Under the action of the internal tension, the camera is guided to be capable of moving forward to be close to a specific direction and being distant from the inner wall of the detected cavity as much as possible, so that the detected cavity to be examined can be scanned automatically quickly, and all the inner wall of the detected cavity can be observed clearly and broadly as much as possible. The method has the advantages that a central line of the detected cavity to be examined does not need to be extracted in advance, so that the problems of topological structures, noise interference and the like during extraction of the central line are avoided.

Description

technical field [0001] The invention belongs to the field of image processing and application, and relates to a guided automatic virtual endoscope navigation method, which ensures that the imaging viewpoint is close to the center line, makes the observation field as wide as possible, realizes fast automatic navigation, and obtains a smooth navigation track. Background technique [0002] Traditional endoscopic technology usually observes the inner surface of the measured cavity by means of optical, video and other technologies. From the volume data field composed of a series of tomographic images, the virtual endoscope reconstructs an endoscopic perspective view of the measured cavity similar to that observed by a traditional optical endoscope. The advantages are: (1) non-invasive; (2) observation at any angle and position can be realized, and there is no visual "dead zone"; (3) through the use of translucent volume rendering technology, the tissue of the inner wall of the ca...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the shortcomings of existing methods, the present invention provides a guided virtual endoscope navigation method, which avoids the centerline extraction process, thereby avoiding the shortcomings of unstable centerlines, burrs, and complex topologies. Gradient acts as a virtual internal pull force, forcing the virtual camera to automatically approach the center line and explore inwardly, improving the imaging efficiency of the virtual endoscopy system, simplifying operations, saving inspection time, and helping to achieve comprehensive inspections without omissions

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