OP: Collaborative Research: Development of Advanced Image Reconstruction Methods for Pre-Clinical Applications of Photoacoustic Computed Tomography

OP：合作研究：光声计算机断层扫描临床前应用的先进图像重建方法的开发

• 批准号: 1938702
• 负责人: Mark Anastasio
• 金额: $ 10.77万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-16 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1938702&HistoricalAwards=false
• 关键词: OP; Collaborative; Research; Development; Advanced

This collaborative research project will develop advanced image reconstruction methods for pre-clinical applications of photoacoustic computed tomography (PACT). PACT is a promising biomedical imaging technique, which has been developed rapidly in the past decade, with applications explored in vascular biology, oncology, neurology, dermatology, gastroenterology, and cardiology. PACT can circumvent the limitations of many existing approaches and provide detailed three-dimensional anatomical, functional, and molecular information that can facilitate a wide range of biomedical studies. This research project will dramatically improve image quality in PACT, which will accelerate the widespread adoption of this emerging imaging modality. The project goals will be accomplished through a collaboration that involves complementary high-level expertise in the mathematical and biomedical imaging sciences.The project aims at addressing several challenging problems in biomedical imaging in terms of modeling and inversion from both computational and experimental perspectives. (1) Advanced ultrasound computed tomography (USCT) reconstruction methods will be developed for determination of acoustic heterogeneities. (2) New photoacoustic computed tomography (PACT) reconstruction methods will be developed to compensate for acoustic heterogeneities. (3) Novel methods for joint PACT/USCT image reconstruction will be developed to reconstruct the absorbed optical energy density and speed of sound distributions simultaneously. (4) Innovative PACT reconstruction methods in heterogeneous viscoelastic media will be developed for transcranial brain imaging. (5) The value of the developed image reconstruction methods will be demonstrated for in-vivo imaging of small animals. The resulting methods will open new venues for applying these algorithms to wave-related biomedical imaging problems.

该协作研究项目将开发用于光声计算机断层扫描（PACT）临床前应用的高级图像重建方法。 PACT是一种有前途的生物医学成像技术，在过去十年中已经迅速开发，并在血管生物学，肿瘤学，神经病学，皮肤病学，胃肠病学和心脏病学中进行了应用。 PACT可以规避许多现有方法的局限性，并提供详细的三维解剖学，功能和分子信息，这些信息可以促进广泛的生物医学研究。 该研究项目将大大提高PACT的图像质量，这将加速这种新兴成像方式的广泛采用。 项目目标将通过一项合作来实现，该合作涉及数学和生物医学成像科学方面的互补高级专业知识。该项目旨在从计算和实验性观点上以建模和倒置来解决生物医学成像中的几个具有挑战性的问题。 （1）将开发出高级超声计算机断层扫描（USCT）重建方法，以确定声学异质性。 （2）将开发新的光声计算机断层扫描（PACT）重建方法来补偿声学异质性。 （3）将开发针对关节条约/USCT图像重建的新方法，以同时重建吸收的光能密度和声音分布的速度。 （4）将开发用于经颅脑成像的异质粘弹性介质中的创新条约重建方法。 （5）将证明开发图像重建方法的价值用于小动物的体内成像。 最终的方法将为将这些算法应用于与波浪相关的生物医学成像问题开放新场地。