유방암 조기 진단을 위한 멀티모달 이미징 기반의 휴대형 모바일 디바이스 개발 및 알고리즘
Portable Mobile Device and Algorithm Based on Multimodal Imaging for Early Breast Cancer Diagnosis
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The purpose of this study is to develop a portable device and algorithm based on multimodal imaging for early diagnosis of breast cancer and to verify its effectiveness. In order to overcome the limitations of existing imag- ing diagnostic methods, this study designed the Tactile Sensation and Diffuse Optical Imaging System (TSDOIS) that combines tactile sensing image (TSI) and diffuse optical image (DOI). This system is designed to measure the phys- ical and physiological characteristics of the lesion simultaneously, and increased accessibility and usability through miniaturization and mobile interlocking device implementation. The TSI acquisition module extracts information on the elasticity, depth, and size of the lesion through a total internal reflection (TIR)-based elastic waveguide, and the DOI acquisition module detects lesions with high hemoglobin concentration based on the red light (638 nm) reflec- tance reduction pattern. As a result of the phantom experiment, it was confirmed that the TSI and DOI contrast were significantly increased in high stiffness, surface layer, large size, and high hemoglobin nodules. This study suggests that small diagnostic equipment based on multimodal imaging can present new possibilities for early diagnosis of breast cancer. In the future, it is expected that the scope of use of this system can be expanded through performance verification based on clinical data and application of machine learning-based automatic analysis algorithms
Abstract
The purpose of this study is to develop a portable device and algorithm based on multimodal imaging for early diagnosis of breast cancer and to verify its effectiveness. In order to overcome the limitations of existing imag- ing diagnostic methods, this study designed the Tactile Sensation and Diffuse Optical Imaging System (TSDOIS) that combines tactile sensing image (TSI) and diffuse optical image (DOI). This system is designed to measure the phys- ical and physiological characteristics of the lesion simultaneously, and increased accessibility and usability through miniaturization and mobile interlocking device implementation. The TSI acquisition module extracts information on the elasticity, depth, and size of the lesion through a total internal reflection (TIR)-based elastic waveguide, and the DOI acquisition module detects lesions with high hemoglobin concentration based on the red light (638 nm) reflec- tance reduction pattern. As a result of the phantom experiment, it was confirmed that the TSI and DOI contrast were significantly increased in high stiffness, surface layer, large size, and high hemoglobin nodules. This study suggests that small diagnostic equipment based on multimodal imaging can present new possibilities for early diagnosis of breast cancer. In the future, it is expected that the scope of use of this system can be expanded through performance verification based on clinical data and application of machine learning-based automatic analysis algorithms