Computational Collaborative Project in Synergistic PET-MR Reconstruction

协同 PET-MR 重建的计算合作项目

• 批准号: EP/M022587/1
• 负责人: Kris Thielemans
• 金额: $ 33.28万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FM022587%2F1
• 关键词: Computational; Collaborative; Project; Synergistic; PET

Magnetic Resonance (MR) and radionuclide imaging using Positron Emission Tomography (PET) have established roles in medical diagnosis, clinical research and drug development. In recognition of the complementary nature of these two modalities, which have historically been used separately, integrated PET-MR scanners have been designed and marketed by manufacturers. These devices open-up exciting avenues to exploit the synergy between these two modalities in many areas, including dementia, cardiology, and investigation of dynamic processes such as the uptake of contrast agents by tumours.Both modalities are tomographic: from the measured data, (stacks of) slices or volumes representing anatomical and functional properties of the patient can be reconstructed using sophisticated algorithms. Image quality is critically dependent on image reconstruction methods. Development and testing of novel algorithms on patient data requires considerable expertise and effort in software implementation. We will establish a new Collaborative Computational Project (CCP) to connect researchers working at different sites and on the different modalities of PET and/or MR in the area of image reconstruction, concentrating on the logistical and computational aspects of integrated PET-MR.The platform to be provided by this CCP will be an enabling technology which removes the frequent obstacles encountered when working with the raw medical imaging datasets acquired by PET and MR scanners. It will be straightforward to work with data in a standardized format, massively aiding and accelerating innovative developments in image reconstruction and processing for PET-MR, and ultimately enabling the possibility of synergistic image reconstruction.

磁共振（MR）和使用正电子发射断层扫描（PET）的放射性核素成像在医学诊断、临床研究和药物开发中已经确立了作用。认识到这两种模式的互补性，这两种模式在历史上被单独使用，制造商已经设计并销售了集成PET-MR扫描仪。这些设备开辟了令人兴奋的途径，可以在许多领域利用这两种模式之间的协同作用，包括痴呆症、心脏病学以及动态过程的研究，例如肿瘤对造影剂的吸收。这两种模式都是断层扫描：根据测量的数据，可以使用复杂的算法重建代表患者解剖和功能特性的切片或体积。图像质量在很大程度上取决于图像重建方法。在患者数据上开发和测试新算法需要相当多的专业知识和软件实现方面的努力。我们将建立一个新的合作计算项目（CCP），以连接在不同地点工作的研究人员，以及在图像重建领域进行PET和/或MR的不同模式，专注于集成PET的逻辑和计算方面-MR. CCP提供的平台将是一种使能技术，可消除在处理所采集的原始医学成像数据集时经常遇到的障碍通过PET和MR扫描仪。它将直接以标准化格式处理数据，大大帮助和加速PET-MR图像重建和处理的创新发展，并最终实现协同图像重建的可能性。

项目成果

Geometry in MR Reconstruction

MR 重建中的几何

• 发表时间: 2018
• 作者: Atkinson D

Data driven respiratory signal detection in PET taking advantage of time-of-flight data

利用飞行时间数据进行 PET 中数据驱动的呼吸信号检测

• DOI: 10.1109/nssmic.2016.8069426
• 发表时间: 2016
• 作者: Bertolli O

Improvement of the Sign Determination Method for Data-Driven respiratory signal in TOF-PET

TOF-PET 数据驱动呼吸信号符号判定方法的改进

• DOI: 10.1109/nssmic.2017.8533018
• 发表时间: 2017
• 作者: Bertolli O

Motion-Corrected PET Reconstruction with SIRF

使用 SIRF 进行运动校正 PET 重建

• 发表时间: 2018
• 作者: Brown, R

Recent Progress in STIR 5.0

STIR 5.0 的最新进展

• DOI: 10.1109/nss/mic44867.2021.9875880
• 发表时间: 2021
• 作者: Biguri A