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

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.
摘要 在医学成像过程中,患者的运动是不可避免的,并可能导致严重的图像退化。心 疾病和癌症占美国所有死亡人数的近一半,考虑到成像的流行 对于这些疾病的诊断、治疗监测和手术计划,由于患者的原因,图像质量下降 运动可能会产生重大影响。此外,在多模式成像中,从 患者在连续采集之间的运动扭曲了各通道对齐,降低了成像的实用性。 现有的运动校正策略分为以下两类:1)利用成像数据驱动数据;2)使用 指成像系统外部的设备(S),它通过以下方式估计内部感兴趣体积(VOI)的运动 跟踪代孕对象的运动,例如病人的身体表面。外部运动跟踪(EMT)是一种 数据驱动方法的流行替代方案,因为它不受通道特性(如噪声级别)的影响 和放射性示踪剂分布,并可用于多模式系统中的跟踪。大多数EMT摄像机 用患者反射的可见光或近红外电磁辐射主动照射患者 服装。衣服对这种类型的辐射的不透明阻止了对患者实际身体的跟踪 因此,在估计运动时增加了一定程度的不确定性。因此,如果病人穿上衣服,那么 目前的急救医生只跟踪衣服或记号,这些衣服或记号本身就是患者身体的替代品 表面,这相当于跟踪VOI的另一个代理项的代理项。我们的前提是那个病人 服装对急救员来说是一个不可逾越的障碍,限制了他们的运动跟踪和补偿 临床影像表现。因此,我们建议开发一种新型的EMT,它利用部分 衣服透明的电磁频谱,从而克服了这一限制,并反过来 改变在临床环境中执行运动跟踪的方式。

项目成果

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Clifford Lindsay其他文献

Clifford Lindsay的其他文献

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{{ truncateString('Clifford Lindsay', 18)}}的其他基金

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
  • 批准号:
    9895557
  • 财政年份:
    2019
  • 资助金额:
    $ 16.4万
  • 项目类别:
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
  • 批准号:
    10383645
  • 财政年份:
    2019
  • 资助金额:
    $ 16.4万
  • 项目类别:
Body Surface Tracking of Complex Motion with Obstructed Viewing in Hybrid Imaging
混合成像中观察受阻的复杂运动的体表跟踪
  • 批准号:
    9132242
  • 财政年份:
    2015
  • 资助金额:
    $ 16.4万
  • 项目类别:
Body Surface Tracking of Complex Motion with Obstructed Viewing in Hybrid Imaging
混合成像中观察受阻的复杂运动的体表跟踪
  • 批准号:
    9300962
  • 财政年份:
    2015
  • 资助金额:
    $ 16.4万
  • 项目类别:
Body Surface Tracking of Complex Motion with Obstructed Viewing in Hybrid Imaging
混合成像中观察受阻的复杂运动的体表跟踪
  • 批准号:
    8968015
  • 财政年份:
    2015
  • 资助金额:
    $ 16.4万
  • 项目类别:

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