Near Infrared Diffused Light Imaging with Ultrasound

近红外漫射光超声成像

• 批准号: 6937781
• 负责人: Quing Zhu
• 金额: $ 20.89万
• 依托单位: UNIVERSITY OF CONNECTICUT STORRS
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2007-04-04
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6937781
• 关键词: bioimaging /biomedical imaging; breast neoplasm /cancer diagnosis; clinical research; diagnosis design /evaluation; female; human subject; image enhancement; infrared radiation; method development; optics; patient oriented research; ultrasonography

DESCRIPTION (provided by applicant): The objective of this research is to improve detection sensitivity and specificity in diagnostic imaging of the breast. This will be accomplished by exploiting a novel hybrid imaging method, which combines near infrared (NIR) optical techniques based on diffusive waves with ultrasound. NIR imaging affords high sensitivity/specificity in the detection of breast tumors, However, it is intrinsically limited in spatial resolution because of the diffuse nature of NIR light in human tissue. In addition, NIR imaging reconstruction is in general underdetermined and ill posed. On the other hand, ultrasound has good imaging capability and can resolve a few mm lesions in breast tissues. However, ultrasound sensitivity and specificity for breast cancer detection are not high due to the overlap in acoustic features of normal tissue, benign and malignant lesions. Our hybrid imaging system is designed to combine the high contrasts of NIR imaging in distinguishing among normal, benign and malignant tissues with the high spatial resolution inherent in ultrasound imaging. Specifically, optical image reconstruction algorithms will be optimized by using ancillary knowledge about lesion geometry provided by co-registered ultrasound images. A cohort of patients with benign and malignant lesions, as determined by physical exam and radiologic study, will be examined, and the data thus obtained will be used to assess the hybrid NIR/ultrasound method and to compare it with conventional ultrasound diagnosis. The detection sensitivity and specificity of the combined method compared to ultrasound alone will be estimated using biopsy results as "gold' standard. Completion of this research plan will serve to validate a novel method for detection and diagnosis of breast lesions, resulting in new opportunities for early detection and appropriate treatment of breast carcinoma.

描述（由申请人提供）：本研究的目的是提高乳腺诊断成像的检测灵敏度和特异性。这将通过利用一种新的混合成像方法来实现，该方法将基于扩散波的近红外（NIR）光学技术与超声波相结合。NIR成像在乳腺肿瘤的检测中提供高灵敏度/特异性，然而，由于NIR光在人体组织中的漫射性质，其在空间分辨率上固有地受到限制。此外，近红外成像重建通常是欠定和不适定的。另一方面，超声具有良好的成像能力，可以分辨乳腺组织中几毫米的病变。然而，由于正常组织、良性和恶性病变的声学特征重叠，超声检测乳腺癌的灵敏度和特异性不高。我们的混合成像系统被设计为将NIR成像在区分正常、良性和恶性组织方面的高对比度与超声成像中固有的高空间分辨率相结合。具体而言，光学图像重建算法将通过使用由共配准的超声图像提供的关于病变几何形状的辅助知识来优化。将检查通过体检和放射学研究确定的良性和恶性病变患者队列，并将由此获得的数据用于评估混合NIR/超声方法，并将其与传统超声诊断进行比较。将使用活检结果作为“金”标准来评估联合方法与单独超声相比的检测灵敏度和特异性。这项研究计划的完成将有助于验证一种检测和诊断乳腺病变的新方法，从而为乳腺癌的早期检测和适当治疗带来新的机会。