Hyperspectral image segmentation of the common bile duct

Daniel Samarov, Eleanor Wehner, Roderich Schwarz, Karel Zuzak, Edward Livingston

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Over the course of the last several years hyperspectral imaging (HSI) has seen increased usage in biomedicine. Within the medical field in particular HSI has been recognized as having the potential to make an immediate impact by reducing the risks and complications associated with laparotomies (surgical procedures involving large incisions into the abdominal wall) and related procedures. There are several ongoing studies focused on such applications. Hyperspectral images were acquired during pancreatoduodenectomies (commonly referred to as Whipple procedures), a surgical procedure done to remove cancerous tumors involving the pancreas and gallbladder. As a result of the complexity of the local anatomy, identifying where the common bile duct (CBD) is can be difficult, resulting in comparatively high incidents of injury to the CBD and associated complications. It is here that HSI has the potential to help reduce the risk of such events from happening. Because the bile contained within the CBD exhibits a unique spectral signature, we are able to utilize HSI segmentation algorithms to help in identifying where the CBD is. In the work presented here we discuss approaches to this segmentation problem and present the results.

Original languageEnglish (US)
Title of host publicationEmerging Digital Micromirror Device Based Systems and Applications V
StatePublished - Jun 12 2013
EventEmerging Digital Micromirror Device Based Systems and Applications V - San Francisco, CA, United States
Duration: Feb 5 2013Feb 6 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherEmerging Digital Micromirror Device Based Systems and Applications V
Country/TerritoryUnited States
CitySan Francisco, CA


  • Common bile duct
  • Feature identification
  • Hyperspectral imaging
  • Image segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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