5 Publications by "P. Figueiredo"

Wireless capsule endoscopy (WCE) provides an inner view of the human intestinal system, and helps physicians to identify abnormalities. Usually the WCE produces a huge amount of data (which, in terms of video recordings and per patient, is about 8 hours and approximately 55000 frames of RGB color data). This means the examiner needs to sift through each video for a long time. Digital image processing techniques can be used effectively to reduce this burden, by making use of automatic algorithms. The inner tubular like structure of the human large intestinal tract consist of two major regions. One is the lumen, the intermediate region where the capsule moves. The other part is the mucosa, which is a mucus-secreting membrane lining the lumen cavities. Abnormal tissues and lesions, like ulcers and polyps, are usually seen as exterior parts of the mucosa, and the lumen is filled with intestinal juices of the human digestive system. Here we apply a variational model for segmenting mucosa regions in WCE images and videos. A fast implementation using the Split-Bregman method is also applied to segment videos in real time. Results on WCE images and videos show that the approach provides reasonable segmentations in an efficient manner.

@inproceedings{PrasathMucosaCMNE11,
  author = "V. B. S. Prasath and I. N. Figueiredo and P. N. Figueiredo",
  title = "Colonic mucosa detection in wireless capsule endoscopic images and videos",
  year = 2011,
  booktitle = "Congress on Numerical Methods in Engineering (CMNE)",
  pages = "9pp",
  month = "Jun",
  keywords = "endoscopy, mucosa, biomedical, segmentation"
}

V. B. S. Prasath, I. N. Figueiredo, and P. N. Figueiredo. Colonic mucosa detection in wireless capsule endoscopic images and videos. Congress on Numerical Methods in Engineering (CMNE), pages 9pp, June 2011.