Wave-Cam: A novel micro-radar imaging array for non-rigid motion estimation in hybrid medical imaging

Wave-Cam：一种新型微雷达成像阵列，用于混合医学成像中的非刚性运动估计

基本信息

批准号：
9895557
负责人：
Clifford Lindsay
金额：
$ 28.06万
依托单位：
UNIV OF MASSACHUSETTS MED SCH WORCESTER
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-21 至 2022-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9895557
关键词：
3-Dimensional Accounting Address Agreement Anatomy Anterior Asses Back Beds Body Surface Cessation of life Characteristics Clinical Clothing Confidence Intervals Data Detection Devices Diagnosis Disease Electromagnetic Energy Electromagnetics Electronics Financial compensation Gender Goals Heart Diseases Human Human Volunteers Hybrids Image Industry Inferior Injections Life Malignant Neoplasms Measures Medical Imaging Medical center Methods Military Personnel Modality Monitor Motion Multimodal Imaging Myocardial perfusion Noise Operative Surgical Procedures Patient imaging Patients Performance Perfusion Phase Positron-Emission Tomography Prevalence Process Radar Radiation Resolution Sampling Security Semiconductors Surface System Technology Testing Therapeutic Thick Time Uncertainty Universities Validation Vermont attenuation base clinical imaging cost digital imaging potential imaging study imaging system interest medical schools metal oxide millimeter miniaturize multimodality novel perfusion imaging prevent prototype radiotracer reconstruction respiratory screening single photon emission computed tomography software development volunteer

项目摘要

Abstract During medical imaging, patient motion is unavoidable and can result in significant image degradation. Heart disease and cancer account for almost half of all deaths in the U.S. and considering the prevalence of imaging for diagnosis, therapeutic monitoring, and surgical planning for these diseases, degraded images due to patient motion can have significant implications. Furthermore, in multi-modal imaging the potential for misalignment from patient motion between sequential acquisitions distorts intermodality alignment decreasing the utility of imaging. Existing strategies for motion correction are classified as either: 1) data-driven by utilizing imaging data or 2) use of a device external to the imaging system(s) that estimates motion of internal volumes of interest (VOI) by tracking the motion of a surrogate, such as the patient’s body surface. External motion tracking (EMT) is a popular alternative to data-driven approaches as it is unaffected by modality characteristics, such noise levels and radiotracer distribution and can be used for tracking in multi-modal systems. The majority of EMT cameras actively illuminate patients with visible or near infrared electromagnetic radiation that is reflected back by patient garments. The opaqueness of garments to this type of radiation prevents tracking of the patient’s actual body surface, thereby adding a level of uncertainty when estimating the motion. Thus, if the patient is clothed, then current EMTs only track garments or markers which are themselves acting as surrogates to the patient’s body surface, which is tantamount to tracking a surrogate to another surrogate to the VOI. Our premise is that patient garments pose an unsurmountable barrier to EMTs that limit their motion tracking and compensation performance in clinical imaging. As such, we propose to develop a novel EMT that utilizes a part of the electromagnetic spectrum for which clothing is transparent, thus overcoming this limitation, and in turn transforming the way motion tracking is performed in clinical settings.

抽象的在医学成像过程中，患者运动是不可避免的，并且可能导致图像显着下降。疾病和癌症几乎占美国所有死亡的一半，并且考虑到影像学的普及用于这些疾病的诊断、治疗监测和手术计划，由于患者的原因导致图像质量下降此外，在多模态成像中，运动可能会产生重大影响。连续采集之间的患者运动会扭曲多模态对准，从而降低成像的效用。现有的运动校正策略分为两类：1）利用成像数据进行数据驱动，或 2）使用成像系统外部的设备，通过以下方式估计感兴趣的内部体积 (VOI) 的运动跟踪替代者的运动，例如患者的身体表面，是一种外部运动跟踪 (EMT)。数据驱动方法的流行替代方案，因为它不受模态特征（例如噪声水平）的影响和放射性示踪剂分布，可用于多模式系统中的跟踪大多数 EMT 摄像机。利用患者反射回来的可见光或近红外电磁辐射主动照射患者衣服对此类辐射的不透明性阻碍了对患者实际身体的追踪。表面，从而在估计运动时增加了一定程度的不确定性因此，如果患者穿着衣服，则目前的急救医疗队只追踪衣服或标记，这些衣服或标记本身就是患者身体的替代品表面，这相当于将一个代理人跟踪到另一个代理人的 VOI 我们的前提是患者。服装对急救人员构成了难以逾越的障碍，限制了他们的运动跟踪和补偿因此，我们建议开发一种利用部分功能的新型 EMT。衣服对电磁波谱是透明的，从而克服了这一限制，进而改变临床环境中执行运动跟踪的方式。