Fourier-based Methods for Image Reconstruction in PET

基于傅立叶的 PET 图像重建方法

基本信息

批准号：
6478531
负责人：
SAMUEL MATEJ
金额：
$ 31.74万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
起止时间：
2002-04-01 至 2006-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6478531
关键词：
bioimaging /biomedical imaging biomedical equipment development computer program /software computer system design /evaluation diagnosis design /evaluation digital imaging human data human therapy evaluation method development neoplasm /cancer diagnosis neoplasm /cancer therapy nuclear medicine positron emission tomography whole body imaging /scanning

项目摘要

The long-term aim of this project is the improvement of tomographic imaging in diagnostic radiology and nuclear medicine, especially positron emission tomography (PET). The project involves computer methods for generating images from the raw detector measurements of the PET scanner (i.e., algorithms for image reconstruction from projection data). The Fourier transform is an important mathematical tool in the theory of non- iterative reconstruction methods, but its potential for improving practical computation has not been fully exploited for these methods, and has not been investigated at all for iterative reconstruction methods. The project aims to develop and evaluate the usefulness of Fourier-based approaches for non-iterative and iterative reconstruction in 3D PET. The proposed approaches aim to decrease the number of approximations that are made during the processing of the emission data and transmission data measured by the detector system of the scanner, while requiring less scanning and processing time than the simplified approaches currently used in clinical PET. For the emission data, the specific aim is to test and evaluate a carefully studied and optimized implementation of the direct Fourier method for the geometry of fully-3D PET, and to develop, implement, test, and evaluate Fourier-based 3D iterative techniques utilizing information on attenuation, scatter and randoms within the reconstruction model. For the transmission data, the specific aim is to develop and evaluate fully-3D iterative reconstruction from this data, followed by fast Fourier-based reprojection of the attenuation map, to be used either for correction of the fully-3D emission data, or for modeling of attenuation effects within the fully-3D iterative reconstruction from the emission data. Cancer imaging with PET, especially whole-body scanning, is limited by the low numbers of counts obtainable in the emission and transmission data sets and by the large fractions of scatter and random events. Improving the quantitative accuracy, signal- to-noise performance and lesion detectability of clinically practical data acquisition and processing in PET would lead to improved detection, diagnosis, and treatment planning of cancer.

该项目的长期目的是改善诊断放射学和核医学的层析成像，尤其是正电子发射断层扫描（PET）。该项目涉及用于从PET扫描仪的原始检测器测量值生成图像的计算机方法（即，来自投影数据的图像重建算法）。傅立叶变换是非迭代重建方法理论中的重要数学工具，但是对于这些方法，其改进实际计算的潜力尚未完全利用，并且根本没有用于迭代重建方法。该项目旨在开发和评估3D PET中基于傅立叶的方法对非著作和迭代重建的实用性。所提出的方法旨在减少在处理扫描仪检测器系统测量的发射数据和传输数据期间进行的近似值的数量，同时比临床PET中当前使用的简化方法所需的扫描和处理时间要少。对于排放数据，具体的目的是测试和评估全3D PET的几何形状的经过仔细研究和优化的实现，并使用利用基于傅立叶的3D迭代技术开发，实施，测试和评估有关重建模型中衰减，散射和随机的信息。对于传输数据，具体的目的是从该数据中开发和评估全3D迭代重建，然后是基于快速傅立叶的衰减图的快速重新投影，用于校正全3D排放数据，或用于校正。从发射数据中对完全3D迭代重建中的衰减效果的建模。使用PET进行癌症成像，尤其是全身扫描，受到发射和传输数据集可获得的计数数量的限制，以及散射和随机事件的大量部分。提高临床实用数据获取和PET处理的定量准确性，信号性能和病变的可检测性将导致改善癌症的检测，诊断和治疗计划。