A DCP-based Method for Improving Laparoscopic Images.

Laparoscopy is an invasive surgical technique performed in abdominal surgery that provides faster recovery than conventional open surgeries. It requires to introduce a camera to observe the surgical maneuvers. However, during this intervention, the quality of the image may be reduced due to the crea...

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Publicado en:Journal of Medical Systems Vol. 44; no. 4; pp. 1 - 10
Autores principales: Ruiz-Fernández, Daniel, Galiana-Merino, Juan José, de Ramón-Fernández, Alberto, Vives-Boix, Víctor, Enríquez-Buendía, Pablo
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Apr2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2020
      vid: 44
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-020-1529-5
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        atl: A DCP-based Method for Improving Laparoscopic Images.
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        au:
          Ruiz-Fernández, Daniel
          Galiana-Merino, Juan José
          de Ramón-Fernández, Alberto
          Vives-Boix, Víctor
          Enríquez-Buendía, Pablo
        affil: Department of Computer Technology, University of Alicante, Carretera San Vicente del Raspeig s/n, 03690, Alicante, Spain
      sug:
        subj:
          Surgery, Laparoscopic
          Quality Improvement
          Image Enhancement Methods
          Artifacts
          Human
          Carbon Dioxide
          Steam
          Algorithms
          Models, Theoretical
          Laparoscopy
          Audiovisuals
      ab: Laparoscopy is an invasive surgical technique performed in abdominal surgery that provides faster recovery than conventional open surgeries. It requires to introduce a camera to observe the surgical maneuvers. However, during this intervention, the quality of the image may be reduced due to the creation of water vapor and carbon dioxide inside the pelvic-abdominal cavity. This phenomenon produces a nebulous image that causes interruptions during the surgical intervention. Removing this nebulous effect is a key factor to improve the vision of the surgeon. In this study, we have used a method based on the dark channel prior to remove the haze in video frames of laparoscopic surgeries to provide better quality images. The results have been positively evaluated by specialists using real video frames of laparoscopic surgeries, thus demonstrating that this method can be effective in improving the quality of the images without losing any detail of the original image.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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