计算机科学
校准
跟踪(教育)
重复性
测量不确定度
观测误差
计量系统
背景(考古学)
准确度和精密度
跟踪系统
系统误差
人工智能
统计
数学
物理
卡尔曼滤波器
古生物学
天文
生物
教育学
心理学
作者
Donald D. Frantz,Andrew D. Wiles,Stephen Leis,Stefan R. Kirsch
标识
DOI:10.1088/0031-9155/48/14/314
摘要
Electromagnetic tracking systems have found increasing use in medical applications during the last few years. As with most non-trivial spatial measurement systems, the complex determination of positions and orientations from their underlying raw sensor measurements results in complicated, non-uniform error distributions over the specified measurement volume. This makes it difficult to unambiguously determine accuracy and performance assessments that allow users to judge the suitability of these systems for their particular needs. Various assessment protocols generally emphasize different measurement aspects that typically arise in clinical use. This can easily lead to inconclusive or even contradictory conclusions. We examine some of the major issues involved and discuss three useful calibration protocols. The measurement accuracy of a system can be described in terms of its 'trueness' and its 'precision'. Often, the two are strongly coupled and cannot be easily determined independently. We present a method that allows the two to be disentangled, so that the resultant trueness properly represents the systematic, non-reducible part of the measurement error, and the resultant precision (or repeatability) represents only the statistical, reducible part. Although the discussion is given largely within the context of electromagnetic tracking systems, many of the results are applicable to measurement systems in general.
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