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Hyperspectral image segmentation of the common bile duct

机译:胆总管的高光谱图像分割

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摘要

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.
机译:在过去的几年中,高光谱成像(HSI)技术在生物医学中的使用日益增加。特别是在医学领域,HSI已被认为具有通过降低与腹腔镜手术(包括将腹壁大切口切开的手术程序)及相关程序相关的风险和并发症而产生即时影响的潜力。正在进行一些针对此类应用的研究。高光谱图像是在胰十二指肠切除术(通常称为Whipple手术)期间获得的,该手术是为切除涉及胰腺和胆囊的癌性肿瘤而进行的外科手术。由于局部解剖结构的复杂性,很难确定胆总管(CBD)的位置,从而导致较高的CBD损伤事件和相关并发症。正是在这里,恒指才有潜力帮助降低此类事件发生的风险。由于CBD中包含的胆汁表现出独特的光谱特征,因此我们能够利用HSI分割算法来帮助识别CBD的位置。在本文介绍的工作中,我们讨论了解决此细分问题的方法并提出了结果。

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