수술현미경에서의 다중형광영상을 이용한 뇌종양과 혈관영상 검출 시스템 연구
Study of a Brain Tumor and Blood Vessel Detection System Using Multiple Fluorescence Imaging by a Surgical Microscope
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본 연구에서는 뇌 종양 수술에서 다수의 광원과 빔 스플리터 모듈을 사용해 종양과 혈관의 형광영상을 동시에 검출하고 획득한형광영상을 동일한 디스플레이 장치에 표시함으로써 시술자에게 종양과 혈관의 정확한 정보를 실시간으로 제공할 수 있는 현미경 시스템을 제안한다. 5-ALA(5-Aminolevulinic acid) 와 ICG(Indocyanine green) 의 형광영상의 동시 검출을 위해 빔 스플리터(beam-splitter : BS)모듈을 사용하였고 5-ALA는 600nm, ICG는 800nm이상의 파장 대역에서 가장 효율이 뛰어나도록 구성하였다. 빔 스플리터 모듈은 파장 대역에 따라 광학기기의 구조를 변경할 수 있고 필터를 탈, 착 가능한 구조로 설계하여 필요에따라 빔 스플리터와 필터의 종류를 변경할 수 있으며 5-ALA 및 ICG 이외의 형광염료를 사용한 시술에서 사용할 수 있다. 빔스플리터 모듈을 통한 형광영상은 5-ALA는 가시광역, ICG는 근적외선 영역을 검출 할 수 있는 CCD 카메라를 장착해 동일한디스플레이에서 확인할 수 있고 획득한 형광영상은 닮음 변환(similarity transform)을 이용해 원영상과 정합하여 실시간으로 시술자에게 제공하는 시스템을 구현하였다.
Abstract
In this paper, we propose a microscope system for detecting both a tumor and blood vessels in brain tumor surgery asfluorescence images by using multiple light sources and a beam-splitter module. The proposed method displays fluorescent imagesof the tumor and blood vessels on the same display device and also provides accurate information about them to the operator. To acquire a fluorescence image, we utilized 5-ALA (5-aminolevulinic acid) for the tumor and ICG (Indocyanine green) forblood vessels, and we used a beam-splitter module combined with a microscope for simultaneous detection of both. Thebeam-splitter module showed the best performance at 600 nm for 5-ALA and above 800 nm for ICG. The beam-splitter is flexibleto enable diverse objective setups and designed to mount a filter easily, so beam-splitter and filter can be changed as needed,and other fluorescent dyes besides 5-ALA and ICG are available. The fluorescent images of the tumor and the blood vessels canbe displayed on the same monitor through the beam-splitter module with a CCD camera. For ICG, a CCD that can detect thenear-infrared region is needed. This system provides the acquired fluorescent image to an operator in real time, matching it tothe original image through a similarity transform.
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