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Development of New Imaging Tools for the Early Detection of Buruli Ulcer Disease

Development of New Imaging Tools for the Early Detection of Buruli Ulcer Disease
开发用于早期检测布鲁里溃疡病的新成像工具
批准号:
8099635
负责人:
George Zouridakis
金额:
$16.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-01 至 2013-06-30

项目摘要

项目成果

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Buruli ulcer (BU) is a devastating flesh-eating bacterial infection that, each year, affects thousands of people, mostly children under the age of 15 years. If detected early BU can be easily treated and cured. In the last few years, automated dermoscopy systems have shown promise for accurate detection of skin lesions in the early stages. The objective of this proposal is to develop software tools to analyze suspicious skin lesions to automatically detect BU at an early stage. We propose to 1) collect a well-defined set of BU images using surface illumination with light of different frequencies, 2) develop algorithms for accurate lesion segmentation 3) identify critical features that correlate with surface and subsurface lesion characteristics, such as morphology, color, texture, and subsurface tissue hardening and thickening, 4) develop new classifiers based on implicit mapping with kernels, 5) test the performance of the new algorithms against manual image segmentation and lesion labeling by two domain experts independently. In addition, the proposed project addresses technological and socioeconomic issues, namely (a) the feasibility of deploying sophisticated diagnostic tools on general-purpose devices, such as cell phones which have limited computing power and memory, and employ fixed-point arithmetic, and (b) whether the use of non-descript technology, such as ordinary camera cell phones protects patient privacy, and thus it helps individuals to overcome the social stigma associated with BU so that that they will seek treatment. The proposed project is an important step toward the development of automated tools for identifying key structural features associated with BU. As of yet, no system accomplishes this, and no system has incorporated deep tissue characteristics to identify these structures. If successful, this software will be available as a diagnostic adjunct for deployment on a broad scale. The use of general-purpose devices like cell phones will help improve not only access to healthcare, but also the quality of life of patients, while also minimizing the cost of health care delivery. PUBLIC HEALTH RELEVANCE: Buruli Ulcer (BU) is a devastating and potentially debilitating tropical disease that affects people in more than 30 countries. BU is listed on the WHO list of neglected disease and is treatable and preventable. The development and application of low-cost, ubiquitous, non-invasive technologies that can be used privately by the end user of the local health care provider is critical for (1) increasing access to healthcare and (2) addressing the stigma associated with hospital visits. The success of the project can lower the cost of treatment for this disease and also improve the quality of life of patients.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Lesion border detection in Buruli ulcer images.
布鲁里溃疡图像中的病变边界检测。
DOI: 10.1109/embc.2012.6347210
发表时间: 2012
期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子: --
作者: [Hu,Rui, Queen,CourtneyM, Zouridakis,George]
通讯作者: Zouridakis,George
DOI: 10.1109/isbi.2011.5872366
发表时间: 2011-12-31
期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
影响因子: --
作者: [Situ N, Wadhawan T, Hu R, Lancaster K, Yuan X, Zouridakis G]
通讯作者: Zouridakis G
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening.
通过异质辅助任务协助主要任务学习及其在皮肤癌筛查中的应用。
DOI: --
发表时间: 2011
期刊: Journal of machine learning research : JMLR
影响因子: --
作者: [Situ,Ning, Yuan,Xiaojing, Zouridakis,George]
通讯作者: Zouridakis,George
SkinScan©: A PORTABLE LIBRARY FOR MELANOMA DETECTION ON HANDHELD DEVICES.
SkinScan©:手持设备上黑色素瘤检测的便携式库。
DOI: 10.1109/isbi.2011.5872372
发表时间: 2011
期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
影响因子: --
作者: [Wadhawan,Tarun, Situ,Ning, Lancaster,Keith, Yuan,Xiaojing, Zouridakis,George]
通讯作者: Zouridakis,George
Development of New Imaging Tools for the Early Detection of Buruli Ulcer Disease
  • 批准号:
    7991293
  • 项目类别:
  • 资助金额:
    $20.25万
  • 财政年份:
    2010
  • 负责人:
    George Zouridakis
  • 依托单位:
海外基金