Video-mosaicing of reflectance confocal images for examination of extended areas of skin in vivo

Br J Dermatol. 2014 Nov;171(5):1239-41. doi: 10.1111/bjd.13050. Epub 2014 Oct 26.

Abstract

Background: With reflectance confocal microscopy (RCM) imaging, skin cancers can be diagnosed in vivo and margins detected to guide treatment. Since the field of view of an RCM image is much smaller than the typical size of lesions, mosaicing approaches have been developed to display larger areas of skin. However, the current paradigm for RCM mosaicing in vivo is limited both in speed and to pre-selected rectangular-shaped small areas. Another approach, called “video-mosaicing,” enables higher speeds and real-time operator-selected areas of any size and shape, and will be more useful for RCM examination of skin in vivo.

Objectives: To demonstrate the feasibility and clinical potential of video-mosaicing of RCM images to rapidly display large areas of skin in vivo.

Methods: Thirteen videos of benign lesions, melanocytic cancers and residual basal cell carcinoma margins were collected on volunteer subjects with a handheld RCM scanner. The images from each video were processed and stitched into mosaics to display the entire area that was imaged.

Results: Acquisition of RCM videos covering 5.0–16.0 mm2 was performed in 20–60 seconds. The video-mosaics were visually determined to be of high quality for resolution, contrast and seamless contiguity, and the appearance of cellular-level and morphologic detail.

Conclusion: Video-mosaicing confocal microscopy, with real-time operator-choice of the shape and size of the area to be imaged, will enable rapid examination of large areas of skin in vivo. This approach may further advance noninvasive detection of skin cancer and, eventually, facilitate wider adoption of RCM imaging in the clinic.

Publication types

  • Evaluation Study
  • Letter
  • Research Support, N.I.H., Extramural

MeSH terms

  • Carcinoma, Basal Cell / pathology
  • Feasibility Studies
  • Humans
  • Image Processing, Computer-Assisted
  • Melanoma / pathology
  • Microscopy, Confocal / methods
  • Skin Diseases / pathology*
  • Skin Neoplasms / pathology
  • Video Recording / methods*