首页> 美国卫生研究院文献>other >Collimator optimization and collimator-detector response compensation in myocardial perfusion SPECT using the ideal observer with and without model mismatch and an anthropomorphic model observer
【2h】

Collimator optimization and collimator-detector response compensation in myocardial perfusion SPECT using the ideal observer with and without model mismatch and an anthropomorphic model observer

机译:使用具有和没有模型失配的理想观察者以及拟人模型观察者在心肌灌注SPECT中进行准直器优化和准直器-检测器响应补偿

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。

摘要

The collimator is the primary factor that determines the spatial resolution and noise tradeoff in myocardial perfusion SPECT images. In this paper, the goal was to find the collimator that optimizes the image quality in terms of a perfusion defect detection task. Since the optimal collimator could depend on the level of approximation of the collimator-detector response (CDR) compensation modeled in reconstruction, we performed this optimization for the cases of modeling the full CDR (including geometric, septal penetration and septal scatter responses), the geometric CDR, or no model of the CDR. We evaluated the performance on the detection task using three model observers. Two observers operated on data in the projection domain: the Ideal Observer (IO) and IO with Model-Mismatch (IO-MM). The third observer was an anthropomorphic Channelized Hotelling Observer (CHO), which operated on reconstructed images. The projection-domain observers have the advantage that they are computationally less intensive. The IO has perfect knowledge of the image formation process, i.e. it has a perfect model of the CDR. The IO-MM takes into account the mismatch between the true (complete and accurate) model and an approximate model, e.g. one that might be used in reconstruction. We evaluated the utility of these projection domain observers in optimizing instrumentation parameters. We investigated a family of 8 parallel-hole collimators, spanning a wide range of resolution and sensitivity tradeoffs, using a population of simulated projection (for the IO and IO-MM) and reconstructed (for the CHO) images that included background variability. We simulated anterolateral and inferior perfusion defects with variable extents and severities. The area under the ROC curve was estimated from the IO, IO-MM, and CHO test statistics and served as the figure-of-merit. The optimal collimator for the IO had a resolution of 9–11 mm FWHM at 10 cm, which is poorer resolution than typical collimators used for MPS. When the IO-MM and CHO used a geometric or no model of the CDR, the optimal collimator shifted toward higher resolution than that obtained using the IO and the CHO with full CDR modeling. With the optimal collimator, the IO-MM and CHO using geometric modeling gave similar performance to full CDR modeling. Collimators with poorer resolution were optimal when CDR modeling was used. The agreement of rankings between the IO-MM and CHO confirmed that the IO-MM is useful for optimization tasks when model mismatch is present due to its substantially reduced computational burden compared to the CHO.
机译:准直仪是决定心肌灌注SPECT图像中空间分辨率和噪声权衡的主要因素。在本文中,目标是找到一种能够根据灌注缺陷检测任务优化图像质量的准直仪。由于最佳准直仪可能取决于重建中建模的准直仪-检测器响应(CDR)补偿的近似水平,因此我们在对完整CDR(包括几何,间隔穿透和间隔散射响应)进行建模的情况下执行了此优化,几何CDR,或没有CDR模型。我们使用三个模型观察器评估了检测任务的性能。两名观察员对投影域中的数据进行了操作:理想观察员(IO)和模型不匹配的IO(IO-MM)。第三个观察者是拟人化的通道化旅馆业观察者(CHO),它对重建的图像进行操作。投影域观察者的优点是计算强度较低。 IO对图像形成过程有完善的知识,即它具有CDR的完善模型。 IO-MM考虑了真实(完整和准确)模型与近似模型(例如一种可能用于重建的方式。我们评估了这些投影域观察者在优化仪器参数中的效用。我们使用一组模拟投影(针对IO和IO-MM)和重建(针对CHO)的图像(包括背景可变性),研究了8个平行孔准直仪系列,涵盖了广泛的分辨率和灵敏度之间的权衡。我们模拟了不同程度和严重程度的前外侧和下部灌注缺陷。 ROC曲线下的面积是根据IO,IO-MM和CHO测试统计数据估算的,并作为品质因数。 IO的最佳准直器在10 cm处的分辨率为9-11 mm FWHM,比用于MPS的典型准直器的分辨率差。当IO-MM和CHO使用CDR的几何模型或不使用CDR模型时,与使用IO和CHO进行完整CDR建模所获得的准直器相比,最佳准直器向着更高的分辨率偏移。使用最佳准直仪,使用几何建模的IO-MM和CHO的性能与完整CDR建模相似。使用CDR建模时,分辨率较差的准直器是最佳选择。 IO-MM与CHO之间的等级协议证实,当模型不匹配时,由于IO-MM与CHO相比大大减少了计算负担,因此IO-MM对于优化任务很有用。

著录项

相似文献

  • 外文文献
  • 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