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.

该合作研究项目将为光声计算机断层扫描（PACT）的临床前应用开发先进的图像重建方法。 PACT是一种很有前途的生物医学成像技术，在过去十年中得到了迅速发展，其应用在血管生物学、肿瘤学、神经病学、皮肤病学、胃肠病学和心脏病学中进行了探索。 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，功能和分子信息，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。 该项目的目标将通过一个合作，涉及互补的数学和生物医学成像科学的高层次的专业知识来实现。该项目旨在解决生物医学成像方面的几个具有挑战性的问题，从计算和实验的角度建模和反演。 (1)先进的超声计算机断层扫描（USCT）重建方法将被开发用于确定声学不均匀性。 (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不均匀性。 (3)将开发联合PACT/USCT图像重建的新方法，以同时重建吸收的光能密度和声速分布。 (4)创新的PACT重建方法在异质粘弹性介质将开发用于经颅脑成像。 (5)所开发的图像重建方法的价值将被证明用于小动物的体内成像。 由此产生的方法将打开新的场地应用这些算法波相关的生物医学成像问题。