The Development of Small Animal Fluorescence Diffusion Optical Tomography Based on Ultrasound Anatomical Image

• Main Authors: Meng-Lung Lin, 林孟隆
• Other Authors: Huihua Kenny Chiang
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/10982566313603822254

碩士 === 國立陽明大學 === 醫學工程研究所 === 102 === Fluorescence diffuse optical tomography (FDOT) is a noninvasive functional tomography. This technology is based on diffusion optical tomography (DOT) algorithm and combined with the fluorescent molecular due to its characteristic. At first, to reconstruct the FDOT image, we import the tissue anatomical image to the DOT algorithm to obtain the tissue optical properties. Next, we consider the fluorescent information of the tumor region in the algorithm to calculate the FDOT image which describes the location and the imaging contrast of the region. Ultrasound image play the role, prior information, in this study. We choose the ultrasound image because of the high recognizability of the soft tissue, and low cost comparing with other tomography technologies (CT,MR…). Moreover, ultrasound has no radiation hazards. It could be safely applied on small animal. One 10 MHz and one 17 MHz ultrasound transducer are included in this study to get the anatomical image of the phantom and biological tissue. In addition, we use the Electron Multiplying Charge Coupled Device, EMCCD camera, to acquire the optical signal of excitation and emission wavelength by specific filters (660 nm & 705 nm). Finally, we bring the information to the FDOT reconstruction tool, NIRFAST, to reconstruct the FDOT image. In this study, we discuss the size and location of fluorescent molecular which accumulate in the tumor or a specific region and compare the FDOT result which doesn’t include the ultrasound anatomical prior information with which include the ultrasound anatomical prior information. We realize the ultrasound anatomical image significantly upgrade the quality of the FDOT image. It plays an important role in FDOT reconstruction. This study, the development of small animal FDOT combined with ultrasound anatomical image, is forward-looking and innovative. We will improve the operational efficiency of this system such as execution time, mismatch of the FDOT and ultrasound systems, and image quality. This would be a milestone for FDOT researches.