• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>other >Modeling the respiratory motion of solitary pulmonary nodules and determining the impact of respiratory motion on their detection in SPECT imaging
【2h】

Modeling the respiratory motion of solitary pulmonary nodules and determining the impact of respiratory motion on their detection in SPECT imaging

机译：对孤立肺结节的呼吸运动进行建模并确定呼吸运动对其在SPECT成像中的检测的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The objectives of this investigation were to model the respiratory motion of solitary pulmonary nodules (SPN) and then use this model to determine the impact of respiratory motion on the localization and detection of small SPN in SPECT imaging for four reconstruction strategies. The respiratory motion of SPN was based on that of normal anatomic structures in the lungs determined from breath-held CT images of a volunteer acquired at two different stages of respiration. End-expiration (EE) and time-averaged (Frame Av) non-uniform-B-spline cardiac torso (NCAT) digital-anthropomorphic phantoms were created using this information for respiratory motion within the lungs. SPN were represented as 1 cm diameter spheres which underwent linear motion during respiration between the EE and end-inspiration (EI) time points. The SIMIND Monte Carlo program was used to produce SPECT projection data simulating Tc-99m depreotide (NeoTect) imaging. The projections were reconstructed using 1) no correction (NC), 2) attenuation correction (AC), 3) resolution compensation (RC), and 4) attenuation correction, scatter correction, and resolution compensation (AC_SC_RC). A human-observer localization receiver operating characteristics (LROC) study was then performed to determine the difference in localization and detection accuracy with and without the presence of respiratory motion. The LROC comparison determined that respiratory motion degrades tumor detection for all four reconstruction strategies, thus correction for SPN motion would be expected to improve detection accuracy. The inclusion of RC in reconstruction improved detection accuracy for both EE and Frame Av over NC and AC. Also the magnitude of the impact of motion was least for AC_SC_RC.
机译：这项研究的目的是为孤立肺结节（SPN）的呼吸运动建模，然后使用该模型确定呼吸运动对SPECT成像中小SPN定位和检测的影响，以实现四种重建策略。 SPN的呼吸运动基于在两个不同呼吸阶段采集的志愿者的屏气CT图像确定的肺部正常解剖结构。使用此信息为肺内的呼吸运动创建了呼气末期（EE）和时间平均（Frame Av）非均匀B样条心脏躯干（NCAT）数字拟人化体模。 SPN表示为直径为1 cm的球体，这些球体在EE和最终吸气（EI）时间点之间的呼吸过程中经历了线性运动。使用SIMIND Monte Carlo程序来生成SPECT投影数据，以模拟Tc-99m去甲肽（NeoTect）成像。使用1）无校正（NC），2）衰减校正（AC），3）分辨率补偿（RC）和4）衰减校正，散射校正和分辨率补偿（AC_SC_RC）重建投影。然后进行了人类观察者定位接收器操作特性（LROC）研究，以确定有无呼吸运动的情况下定位和检测精度的差异。 LROC比较确定了呼吸运动会降低所有四种重建策略的肿瘤检测率，因此对SPN运动的校正有望提高检测精度。在重建中包含RC可以改善EE和Frame Av在NC和AC上的检测精度。对于AC_SC_RC，运动影响的幅度也最小。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号