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

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: 1614566
• 负责人: Jianliang Qian
• 金额: $ 32万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-15 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1614566&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，在过去十年中发展迅速，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等领域都有应用探索。 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，从而促进广泛的生物医学研究。 该研究项目将显着提高 PACT 的图像质量，从而加速这种新兴成像模式的广泛采用。 该项目的目标将通过涉及数学和生物医学成像科学方面互补的高水平专业知识的合作来实现。该项目旨在从计算和实验的角度解决生物医学成像中建模和反演方面的几个具有挑战性的问题。 (1) 将开发先进的超声计算机断层扫描（USCT）重建方法来确定声学不均匀性。 （2）将开发新的光声计算机断层扫描（PACT）重建方法以补偿声学异质性。 (3)将开发联合PACT/USCT图像重建的新方法，以同时重建吸收光能量密度和声速分布。 (4) 将开发异质粘弹性介质中的创新 PACT 重建方法，用于经颅脑成像。 (5)所开发的图像重建方法的价值将在小动物体内成像中得到证明。 由此产生的方法将为将这些算法应用于与波相关的生物医学成像问题开辟新的场所。

项目成果

Learning dominant wave directions for plane wave methods for high-frequency Helmholtz equations

学习高频亥姆霍兹方程平面波方法的主波方向

• DOI: 10.1186/s40687-017-0098-9
• 发表时间: 2017-12
• 期刊: Research in the Mathematical Sciences
• 影响因子: 1.2
• 作者: Fang, Jun;Qian, Jianliang;Zepeda;Zhao, Hongkai
• 通讯作者: Zhao, Hongkai