Biomedical Optic Imaging Applications on Smart Phone

H. Kazanci
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Abstract

In this work, smart phone application for biomedical optic imaging methodology has been written and downloaded into Samsung Galaxy A8 smart cellular phone. Smart phone application is controlling cellular phone’s white Flash light emitting diode (LED) and acquiring the camera pictures simultaneously. In this work Android Studio program development platform has been used. Flash LED light illuminated to the left soft arm tissue. Flash LED has wide wavelength band spectrum which has from 380 to 800 nm. The smart phone white flash LED light has two different Gaussian curve between 380 and 800 nm wavelength. One summit is around 440 nm, the other one is in the 560 nm wavelength. These wavelengths are visible and close to near infrared (NIR). Acquired image data were sent to PC via smart phone USB cable by smart phone Android based application. Image data were analyzed, GPU based Monte Carlo (MC) simulations were run which their executable .exe file was prepared, compiled and built in Microsoft Visual Studio C (MSVSC) code on NVIDIA graphic processor unit. Finally image was reconstructed according to correct tissue type with MatLABTM program.
生物医学光学成像在智能手机上的应用
在这项工作中,将生物医学光学成像方法的智能手机应用程序编写并下载到三星Galaxy A8智能手机中。智能手机的应用是控制手机的白色发光二极管(LED)并同时获取相机图像。在本工作中使用了Android Studio程序开发平台。闪烁的LED灯照亮了左臂柔软的组织。闪光LED具有宽波段光谱,从380到800纳米。智能手机白光闪烁LED光在380 nm和800 nm波长之间有两条不同的高斯曲线。一个峰在440纳米左右,另一个峰在560纳米波长。这些波长是可见的,接近近红外(NIR)。采集到的图像数据通过智能手机的USB数据线通过基于Android的智能手机应用程序发送到PC端。对图像数据进行分析,运行基于GPU的蒙特卡罗(MC)仿真,并在NVIDIA图形处理器单元上使用Microsoft Visual Studio C (MSVSC)代码编制可执行的。exe文件。最后利用MatLABTM程序根据正确的组织类型重建图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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