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：
10701911
负责人：
Fernando E Boada
金额：
$ 60.09万
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 2025-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10701911
关键词：
3-Dimensional Abdomen Abdominal Mass Address Affect Algorithms Alzheimer&apos s Disease Anatomy Belgium Calibration Cardiac Central Nervous System Clinical Data Data Set Detection Development Diagnosis Diagnostic Dictionary Dimensions Dose Evaluation Fingerprint Generations Germany Goals Half-Life Image Institution Lesion Magnetic Resonance Imaging Malignant - descriptor Malignant Neoplasms Methodology Methods Modality Monitor Morphologic artifacts Motion Nature Optics Pathology Performance Physiologic pulse Positron-Emission Tomography RF coil Research Resolution Resources Role Scanning Signal Transduction Site Staging Technology Time Tracer Work body system clinical development clinical examination clinical implementation data acquisition design effectiveness evaluation flexibility image reconstruction imaging capabilities imaging platform improved instrumentation multimodality novel novel strategies reconstruction research clinical testing respiratory 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.

项目摘要：该建议致力于对新颖，实时的开发，临床实施和评估并发MR/PET获取的运动校正方法。可用的数据获取方法和 MR/PET扫描仪中的重建并不能完全利用同时的成像功能市售的MR/PET仪器。这些功能可用于获得实时减少宠物图像的运动伪影和部分体积偏置的信息，没有显着影响相应MRI检查的工作流程。我们的方法论基于具有MRI和PET数据获取和重建各个方面的多机构研究团队。这提出的方法学将在PET扫描时提高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小（<1cm）腹部病变的检测，分期和监视，目前评估有限由于运动模糊和部分体积偏置的过多信号损失。