An Intelligent Capsule Endoscopy Video Analysis Software Platform

智能胶囊内窥镜视频分析软件平台

基本信息

  • 批准号:
    8195537
  • 负责人:
  • 金额:
    $ 24.67万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-07-01 至 2011-12-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Gastrointestinal (GI) malignancies are the most common cause of cancer in the world. Of the 10.8 million people in the world each year who develop cancer, approximately 3.3 million have GI malignancies. Until recently, the only sections of the GI tract that could be imaged were the esophagus, stomach and colon through traditional endoscopy. Initial segments of the small bowel were imaged using techniques such as push enteroscopy or radioactive imaging techniques, but these methods present significant discomfort to the patients, costly, or lack sensitivity. Capsule endoscopy (CE) is a new technique that is changing the landscape of GI endoscopic diagnosis. CE is a widely acclaimed breakthrough in GI, especially small bowel imaging. However, current CE video display/analysis software (SW) is falling far behind. It has limitations including lengthy video viewing and interpreting time (e.g. ~2 hours) and is difficult in analyzing (e.g. visualizing) findings. These SW issues have incurred considerable amount of costs to patients, and need to be addressed urgently. To address this problem, together with our collaborators, we propose to develop a novel software system to fully automate the video review process and achieve comprehensive and accurate disease analysis. The proposed software system will have the following clinic impact and significance: 3/4 Fully automated and efficient disease detection and classification from CE videos; 3/4 Comprehensive visualization or analysis tool for more accurate disease diagnosis; 3/4 No more missing GI disorder areas from the review process; 3/4 A low cost SW system for better mass acceptance and effective disease prevention; and 3/4 Modular, expandable, and scalable technology. The proprietary software modular (functionally) technology developed can be easily applied to existing diagnosis instruments. The Millennium Research Group predicted the capsule endoscopy market to generate more than $180 million in 2009 in the United States alone - up from just $40 million in 2004. The predicted CAGR is 35.1% during 2008 - 2015. According to Given Imaging Ltd., more than one million patients worldwide have gone through capsule endoscopy procedure using their PillCam capsules. Capsule endoscopy is a rapidly-growing multi-billion dollar market (predicted to reach billion dollar mark in 2015 worldwide). The commercialization potential of the proposed software system and technology is significant. PUBLIC HEALTH RELEVANCE: The software system and technology developed under this SBIR project will provide great benefit to GI patients by providing cost saving and highly accurate GI tract disease finding and analysis software platform. The proposed software will transform the current manual review method into a fully automatic process. With the extended capability over current endoscopes, the proposed SW system is expected to have a reasonably large market share of this 10 billion dollar industry. Other medical areas benefitting from this research include bronchoscopy, colonoscopy, enteroscopy, cystoscopy, laparoscopy, and capsule endoscope. Non-medical fields to benefit this technology include commercial perimeter surveillance, and water and gas pipe inspection - another multi-billion market.
描述(由申请人提供):胃肠道(GI)恶性肿瘤是世界上最常见的癌症原因。每年有1080万人发展癌症的人中,约有330万人患有GI恶性肿瘤。直到最近,可以成像的胃肠道的唯一部分是通过传统内窥镜检查食管,胃和结肠。小肠的初始部分是使用推送肠镜或放射性成像技术进行成像的,但是这些方法给患者带来了明显的不适,代价高昂或缺乏敏感性。胶囊内窥镜检查(CE)是一种正在改变GI内窥镜诊断的景观的新技术。 CE是GI中广受好评的突破,尤其是小肠成像。但是,当前的CE视频显示/分析软件(SW)远远落后。它具有局限性,包括冗长的视频观看和解释时间(例如〜2小时),并且在分析(例如可视化)发现时很难。这些SW问题已经给患者带来了相当多的费用,需要紧急解决。为了解决这个问题,我们建议开发一种新型的软件系统,以完全自动化视频审查过程并实现全面,准确的疾病分析。提出的软件系统将具有以下诊所的影响和意义:3/4来自CE视频的3/4完全自动化,有效的疾病检测和分类; 3/4全面的可视化或分析工具,以进行更准确的疾病诊断; 3/4不再缺少审查过程中的胃肠疾病区域; 3/4低成本的SW系统,可更好地接受和有效的疾病预防;以及3/4模块化,可扩展和可扩展的技术。所开发的专有软件模块化技术可以轻松地应用于现有的诊断工具。 千年研究小组预测,仅在2009年,胶囊内窥镜市场将在2009年产生超过1.8亿美元的收入 - 从2004年的4000万美元中提高。根据给定的Imaging Ltd.,预测的CAGR为35.1%。根据Imaging Ltd.,全球超过一百万的患者使用Capsule Endoccopy Protishsoscpopy Protissure使用了Pillcam Capsules capsules capsules capsules capsules capsules。胶囊内窥镜检查是一个快速增长的数十亿美元市场(预计在2015年在全球范围内将达到十亿美元)。拟议的软件系统和技术的商业化潜力非常重要。 公共卫生相关性:该SBIR项目下开发的软件系统和技术将通过提供成本节省和高度准确的胃肠道疾病查找和分析软件平台来为胃肠道患者提供巨大好处。所提出的软件将将当前的手动审查方法转换为全自动过程。随着当前内窥镜的扩展能力,预计拟议的SW系统将在这100亿美元的行业中拥有相当大的市场份额。这项研究受益的其他医疗区域包括支气管镜检查,结肠镜检查,肠镜检查,膀胱镜检查,腹腔镜和胶囊内窥镜。该技术受益的非医学领域包括商业周边监视以及水和燃气管检查 - 另一个数十亿个市场。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Steven Yi的其他基金

A low cost and effective foot orthotics fabrication framework
低成本且有效的足部矫形器制造框架
  • 批准号:
    10624329
    10624329
  • 财政年份:
    2021
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
A low cost and effective foot orthotics fabrication framework
低成本且有效的足部矫形器制造框架
  • 批准号:
    10251746
    10251746
  • 财政年份:
    2021
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
A low cost and effective foot orthotics fabrication framework
低成本且有效的足部矫形器制造框架
  • 批准号:
    10609223
    10609223
  • 财政年份:
    2021
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
Wound management through quantitative documentation and prediction
通过定量记录和预测进行伤口管理
  • 批准号:
    10447880
    10447880
  • 财政年份:
    2020
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
Wound management through quantitative documentation and prediction
通过定量记录和预测进行伤口管理
  • 批准号:
    10469685
    10469685
  • 财政年份:
    2020
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
Wound management through quantitative documentation and prediction
通过定量记录和预测进行伤口管理
  • 批准号:
    10081799
    10081799
  • 财政年份:
    2020
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
A Low-Cost and Convenient Solution for Hearing Aid Shell Manufacturing
助听器外壳制造的低成本、便捷的解决方案
  • 批准号:
    9905577
    9905577
  • 财政年份:
    2018
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
Augmenting Endoscopic Instruments with Real-time 3D Imaging
通过实时 3D 成像增强内窥镜仪器
  • 批准号:
    9339459
    9339459
  • 财政年份:
    2017
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:
Wound healing progress tracking through mobile devices
通过移动设备跟踪伤口愈合进度
  • 批准号:
    9605561
    9605561
  • 财政年份:
    2017
  • 资助金额:
    $ 24.67万
    $ 24.67万
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Real-time 3D Imaging Guided ART
实时 3D 成像引导 ART
  • 批准号:
    8902326
    8902326
  • 财政年份:
    2015
  • 资助金额:
    $ 24.67万
    $ 24.67万
  • 项目类别:

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