Handheld 3-D Camera for Wound Healing Monitoring
Handheld 3-D Camera for Wound Healing Monitoring
批准号:
6933629
负责人:
HUI LI
金额:
$10.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-20 至 2006-09-30
中文摘要
描述(由申请人提供):
每年,大约有600万美国人遭受慢性伤口的折磨。有很大一部分无法愈合的伤口患者是糖尿病的受害者。无法愈合的伤口可能会持续数年,给患者带来疼痛,并使他们面临继发感染和失去肢体的风险。
伤口愈合是一个漫长但尚未被很好理解的过程。仔细监测愈合过程可以帮助医生评估治疗程序的有效性,并在早期确定正确的治疗方法。然而,目前还没有可用的伤口测量工具来促进伤口愈合的定量、准确、易用的测量。
该SBIR项目的主要目标是开发一种新型手持3D相机,对伤口进行客观、定量和真实的3D测量(大小、形状、体积、颜色和愈合状态)。准确的伤口愈合测量将使医生能够评估、改善和个性化给予每个伤口患者的治疗。这一拟议项目的主要创新包括实现3D相机硬件小型化的技术,以及复杂的3D图像处理和测量软件。
在第一阶段项目中,我们计划设计和制作手持式3D摄像机硬件,并开发3D创伤测量算法的几个关键组件,如3D图像自动对准和合并、可靠的伤口边界分割和定量伤口比较。我们将与约翰霍普金斯创伤中心的合作者密切合作,收集对我们硬件/软件设计的反馈,并在临床伤口治疗环境中执行初步测试,以验证我们的设计。
英文摘要
DESCRIPTION (provided by applicant):
Every year, approximately 6 million Americans suffer from chronic wounds. A significant portion of wound patients with non-healing wounds are victims of diabetes. Non-healing wounds can persist for years, causing pain to patients and placing them at risk for secondary infections and loss of limb.
Wound healing is a lengthy yet not well understood process. Careful monitoring the healing progress could help doctors to assess the efficacy of treatment procedure and determine right treatment early-on. However, there is no wound measurement tool available to facilitate quantitative, accurate, easy-to- use measurement of wound healing.
The primary objective of this SBIR program is to develop a novel handheld 3D camera to perform objective, quantitative, and true 3D measurements of wounds (size, shape, volume, color, and healing status). Accurate measurement of wound healing will enable doctors to assess, improve, and individualize the treatment given to each wound patient. The major innovations of this proposed project include techniques to enable the miniaturization of 3D camera hardware, and sophisticated 3D image processing and measurement software.
In the Phase I project, we propose to design and prototype handheld 3D camera hardware, and to develop several critical components of 3D wound measurement algorithms, such as automatic 3D image alignment and merge, reliable wound boundary segmentation, and quantitative wound comparison. We will work closely with our collaborators at Johns Hopkins Wound Center to collect feedback to our hardware/software design and perform preliminary tests in clinical wound treatment environment to validate our designs.
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