权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

MR/PET Motion Correction From Coil Fingerprints

根据线圈指纹进行 MR/PET 运动校正

基本信息

批准号：
10621093
负责人：
Fernando E Boada
金额：
$ 66.1万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-04 至 2024-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10621093
关键词：
3-Dimensional Abdomen Abdominal Mass Address Affect Algorithms Alzheimer&apos s Disease Anatomy Belgium Calibration Cardiac Clinical Custom Data Data Set Detection Development Diagnosis Diagnostic Dictionary Dose Evaluation Fingerprint Generations Germany Goals Half-Life Image Lead Lesion Magnetic Resonance Imaging Malignant - descriptor Malignant Neoplasms Methodology Methods Modality Monitor Morphologic artifacts Motion Multimodal Imaging Nature Neuraxis Optics Pathology Performance Physiologic pulse Positron-Emission Tomography RF coil Research Resolution Resources Role Scanning Signal Transduction Site Staging Technology Time Tracer Work base body system clinical development clinical examination clinical implementation data acquisition design effectiveness evaluation flexibility image reconstruction imaging capabilities imaging platform improved instrumentation novel novel strategies reconstruction research clinical testing respiratory sensor sensor technology temporal measurement treatment response

项目摘要

PROJECT SUMMARY: This proposal is devoted to the development, clinical implementation and evaluation of a novel, real-time, motion correction methodology for concurrent MR/PET acquisitions. Available methods for data acquisition and reconstruction in MR/PET scanners do not fully capitalize on the simultaneous imaging capabilities of the commercially available MR/PET instrumentation. These capabilities could be used to obtain real-time information for reducing motion artifacts and partial voluming bias from PET images without significantly affecting the workflow of the corresponding MRI examination. Our methodology builds on the track record of the multi-institutional research team with all aspects of MRI and PET data acquisition and reconstruction. The proposed methodology will lead to improved sensitivity and quantitative accuracy for PET scans when they are simultaneously acquired during the course of an MR/PET examination. Such improvements will lead to better detection, staging and surveillance of small (<1cm) abdominal lesions, which assessment is currently limited due to excessive signal loss from motion blur and partial voluming bias.

项目总结：该方案致力于开发、临床实施和评估一种新型的实时、用于并行MR/PET采集的运动校正方法。可用的数据采集方法和 MR/PET扫描仪中的重建不能充分利用市面上可买到的MR/PET仪器。这些能力可以用来获得实时用于减少PET图像中的运动伪影和部分体积偏差的信息，而不显著影响了相应核磁共振检查的工作流程。我们的方法建立在以下方面的记录之上多机构研究团队，负责MRI和PET数据采集和重建的方方面面。这个建议的方法将提高PET扫描的灵敏度和定量准确性在MR/PET检查过程中同时获得。这样的改进将带来更好的检测、分期和监测腹部小病变(&lt；1 cm)，目前评估有限由于运动模糊和部分体积偏差造成的信号损失过大。