A Low-cost Scalable Solution for Digitizing Analog X-rays with Applications to Rural Healthcare

被引：0

作者：

Appanacharya, Kalyan Tej Javvadi ^{[1
]}

Tatinati, Anil Kumar ^{[1
]}

Kunderu, Hari Krishna ^{[1
]}

Mohammad, Syed Khalid ^{[1
]}

Channappayya, Sumohana S. ^{[1
]}

Acharyya, Amit ^{[1
]}

Tripathi, Sourav ^{[2
]}

机构：

[1] IIT Hyderabad, Dept Elect Engn, Yeddumailaram 502205, AP, India

[2] ODF Hosp, Med Officer, Yeddumailaram AP-502205, India

来源：

2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2013年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, we present a low-cost scalable solution for digitizing analog X-ray images with the goal of improving diagnostics in rural and remote areas, in addition to having potential applications in disaster healthcare. Our solution attempts to capitalize on the rapid gains made in cellular communication and mobile technologies. The proposed mobile application lets the user digitally acquire the analog Xray image and apply enhancement operations to it. A novel non-linear technique for X-ray image enhancement has been proposed and implemented in the application. Additionally, several standard enhancement techniques have also been implemented. A proof-of-concept of the proposed solution is demonstrated with an Android application running on a smartphone. Results from real-world data collected at a semi-urban hospital in India are presented. The Android application has been made available online at the fifth authors' homepage.

引用

页码：7496 / 7499

页数：4