课题基金 / 基金详情

EAGER: A CFD based thermal imaging technique for early breast cancer detection- Development and clinical assessment

EAGER: A CFD based thermal imaging technique for early breast cancer detection- Development and clinical assessment
EAGER:基于 CFD 的热成像技术,用于早期乳腺癌检测 - 开发和临床评估
批准号:
1640309
负责人:
Satish Kandlikar
金额:
$9.96万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-15 至 2018-07-31

项目摘要

项目成果

Satish Kandlikar的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Use of modern thermal imaging techniques to enhance the ability of conventional mammograms to screen effectively for breast cancerEarly and accurate detection of breast cancer is critical in effectively treating it and avoid spreading of cancer to other regions of the body. Current guidelines recommend routine screening mammography for all women over 40-50 years of age; however, the sensitivity and specificity of screening mammograms remains less than optimal. Thermal imaging has been explored in the past as an alternative or adjunct to mammography; historically thermal imaging has been cumbersome and uncomfortable for the patient. Modern technology should allow thermal imaging to provide useful information without requiring cooling or other manipulations that significantly impact patient comfort. The addition of thermography may be particularly beneficial in the setting of "dense breasts", seen in about 30% of women, when screening mammography alone is suboptimal. The initial phase of this work which is the basis of the current proposal will use real world clinical data obtained from mammography and magnetic resonance images to develop models for thermal imaging techniques. The expected follow up will be to apply the information gleaned to the development of an effective thermal imaging technique to serve as an adjunct and enhancement to routine screening mammography. Successful application has the potential to significantly increase the accuracy of screening for breast cancer and could have broad implications for preventive medicine including the reduction of mortality and morbidity of breast cancer at a community level.Developing a steady state thermography technique as a diagnostic tool to detect malignant breast tumors has the potential to greatly improve the early detection of breast cancer. Current thermographic systems available to detect breast cancer create an artificial thermal gradient by cooling the breast using cold plates or by blowing cold air to enhance the thermal signature of the tumor in the breast. This procedure is uncomfortable for the patient and very time consuming. Advances in infrared thermography and simulation tools have enabled detection of minute changes in temperature fields and accurate modeling of the breast. These improvements have enabled the use of steady state thermography for the early detection of breast cancer. To determine the viability of the technique, a cooperative research plan will be undertaken by leading experts from the medical and engineering domains to provide a patient-friendly breast cancer detection system (engineering team will consist of experts in the thermal analysis and numerical modeling areas, and the medical team consists of leading oncologists and radiologists from a reputed medical hospital in Rochester). A CFD simulation that can accurately simulate heat transfer in the breast will be developed using ANSYS-Fluent. A better understanding of the various models used to predict the thermal properties of the breast tissue will be developed. The results from the simulations will be compared with the clinical data to determine the thermal properties of the breast tissue and its variation based on the composition of the breast. The effect of the thickness of the various tissue layers on the ability of breast thermography to determine the presence of tumors will be examined. The effect of tumor size and position on the surface temperature field will be studied. The sensitivity limits and accuracy of tumor detection using steady state thermography will be determined.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1115/1.4041421
发表时间: 2018
期刊: Journal of Engineering and Science in Medical Diagnostics and Therapy
影响因子: --
作者: [Gonzalez-Hernandez, Jose-Luis, Kandlikar, Dr. Satish, Dabydeen, Donnette, Medeiros, Lori, Phatak, Pradyumna]
通讯作者: Phatak, Pradyumna
Transforming pool boiling into a pumpless self-sustained flow boiling system for efficient cooling at high heat fluxes
  • 批准号:
    2022614
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.26万
  • 财政年份:
    2020
  • 负责人:
    Satish Kandlikar
  • 依托单位:
UNS: Dynamic Contact Line Region Heat Transfer and Interface Behavior at High Heat Fluxes Through a Controlled Oscillating Meniscus
  • 批准号:
    1511314
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.99万
  • 财政年份:
    2015
  • 负责人:
    Satish Kandlikar
  • 依托单位:
Ultra high boiling performance on nano/microstructured surfaces through electrodeposition of copper and graphene
  • 批准号:
    1335927
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.92万
  • 财政年份:
    2013
  • 负责人:
    Satish Kandlikar
  • 依托单位:
Enhanced Flow Boiling Heat Transfer at Microscale for Stable, High Heat Flux Removal
  • 批准号:
    1236062
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.27万
  • 财政年份:
    2012
  • 负责人:
    Satish Kandlikar
  • 依托单位:
国内基金
海外基金
基于超声容积数据的CFD 建模联合个体化3D打印在肥厚型心肌病诊疗中的应用
  • 批准号:
    JCZRLH202600486
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
  • 依托单位:
基于超声与CFD融合技术的Stanford B型主动脉夹层TEVAR术后负性重塑风险预测研究
  • 批准号:
    2026JJ80656
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    朱洪江
  • 依托单位:
PV-CFD/VTM混合算法创新:旋翼复杂涡流场数值模拟的新途径
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    杨爱明
  • 依托单位:
基于智能优化与CFD模拟的低碳高效换热器结构设计与性能研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    赖登硕
  • 依托单位: