Hyperspectral Image Segmentation of the Common Bile Duct

Published

March 8, 2013

Author(s)

Daniel V. Samarov, Eleanor Wehner, Roderich E. Schwarz, Karel Zuzak, Edward Livingston, Maritoni A. Litorja

Abstract

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, in the work we present here we focus on 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.

Citation

SPIE Photonics West

Pub Type

Journals

Keywords

hyperspectral imaging, common bile duct, image segmentation, feature identification.

Citation

Samarov, D. , Wehner, E. , Schwarz, R. , Zuzak, K. , Livingston, E. and Litorja, M. (2013), Hyperspectral Image Segmentation of the Common Bile Duct, SPIE Photonics West (Accessed October 14, 2024)