
pmid: 21095814
Wireless capsule endoscopy (WCE) has been gradually applied for inspecting the gastrointestinal (GI) tract. However, WCE can only provide monocular view. Moreover, only a small part of GI wall is visible frame by frame due to the limited illumination and irregular motion of the capsule endoscope. The perception of entire GI structure could be hard even for the experienced endoscopists. A realistic friendly three dimension view is needed to help the physicians to get a better perception of the GI tract. In this paper, we present a method to reconstruct the three dimension surface of the intestinal wall by applying the SIFT feature detector and descriptor to a sequence of WCE images. Epipolar geometry is employed to further constrain the matching feature points in order to obtain a more accurate 3D view. The experiments on real data are presented to show the performance of our proposed method.
Gastrointestinal Tract, Imaging, Three-Dimensional, Image Interpretation, Computer-Assisted, Humans, Capsule Endoscopy, Algorithms
Gastrointestinal Tract, Imaging, Three-Dimensional, Image Interpretation, Computer-Assisted, Humans, Capsule Endoscopy, Algorithms
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