Acquisition information spectrum for evaluating sonographic quality.

Acquisition information spectrum for evaluating sonographic quality.
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用于评估超声检查质量的采集信息谱。

DOI:
10.1109/embc.2012.6346423
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发表时间:
2012
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Insana,MichaelF
Insana,MichaelF
中科院分区:
--
文献类型:
--
作者:
Nguyen,NghiaQ;Abbey,CraigK;Insana,MichaelF

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参考文献

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我们正在开发一种基于任务的第一性原理方法来优化超声成像系统的设计和评估。通过检查与乳腺病变诊断相关的五个临床特征,我们量化了图像形成过程中几个阶段的信息流。我们发现,给定系统配置的诊断性能会随着患者的特征而变化,有时变化很大。我们的分析表达了成像系统对特定临床任务的诊断性能,作为患者属性的函数,与仪器属性是可分离的。因此,有可能显示图像质量指标,如空间和对比度分辨率,如何与患者特征相结合,以确定特征的可辨别性。在本文中,我们描述了一种用于诊断性能评估的信息理论方法,该方法给了我们一个新的量,即采集信息谱(AIS)。与放射学中的NEQ一样,超声成像中的AIS为医学超声成像系统的设计提供了基础。
We are developing a first-principles task-based approach to the optimal design and evaluation of ultrasonic imaging systems. Examining five clinical features related to breast lesion diagnosis, we quantified information flow at several stages in the image formation process. We found that the diagnostic performance of a given system configuration will vary with the patient feature, sometimes significantly. Our analysis expresses diagnostic performance of an imaging system for a specific clinical task as a function of patient properties that are separable from instrument properties. Hence it is possible to show how image quality metrics, like spatial and contrast resolution, combine with patient features to determine feature discriminability. In this paper, we describe an information theoretic approach to diagnostic performance evaluation that has given us a new quantity, the acquisition information spectrum (AIS). Like NEQ in radiography, AIS in sonography provides a foundation for medical ultrasonic imaging system design.
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