Channelized hotelling and human observer correlation for lesion detection in hepatic SPECT imaging.
Channelized hotelling and human observer correlation for lesion detection in hepatic SPECT imaging.
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发表时间：
2000-03
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通讯作者：
H. Gifford;Matt A. King;Daniel J. de Vries;E. Soares
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作者：
H. Gifford;Matt A. King;Daniel J. de Vries;E. Soares
未标记的数学“模型”观察者预测人类的表现是感兴趣的医学成像作为替代品在心理物理学研究。我们已经研究了人类观察员和几种形式的通道化霍特林观察员（CHO）的肿瘤检测任务与模拟SPECT肝脏图像，用于研究散射和散射校正检测的影响之间的相关性。方法采用受试者工作特性（ROC）研究方法，探讨SPECT显像中散射减影策略的相对价值。这项研究使用了模拟图像的生物分布的99mTc标记的FO23C5抗癌胚抗原抗体在肝脏内。3个单独的肿瘤位置和5个策略的处理散射的投影数据，获得使用Monte Carlo软件应用于一个拟人化体模。这些策略是：（a）完美散射抑制，（B）无散射校正，（c）在假设散射量升高的情况下无散射校正，（d）正常散射情况下基于能量谱的散射补偿（B），以及（e）散射升高情况下的类似散射补偿（c）。图像重建近似于马萨诸塞州大学医学院当前的临床程序。每个位置和策略组合的人类表现是基于7个个体的ROC曲线下面积的平均值。一组15个信号噪声比（SNR）来自这些平均值与SNR CHO模型具有恒定Q和差分高斯（DOG）滤波器。结果：当使用4个方形剖面通道比较普通人和恒定Q CHO的任务表现时，斯皮尔曼等级相关系数为0.92（P = 0.000001）。对于CHO的DOG版本，与人类平均值的比较发现系数为0.84（P = 0.00005）。结论在我们的检测任务中，平均人类观察者和CHO的排名之间存在显着的正相关性，这表明通道化模型观察者最终可以作为人类观察者的替代品。我们使用的特定CHO模型最适合在人类心理物理学研究之前筛选策略之间的显著差异。
UNLABELLED Mathematic "model" observers that predict human performance are of interest in medical imaging as substitutes in psychophysical studies. We have examined the correlations between human observers and several forms of the channelized Hotelling observer (CHO) for a tumor detection task with simulated SPECT liver images that were used to study the effects of scatter and scatter correction on detection. METHODS A receiver operating characteristic (ROC) study was devised to investigate the relative value of a scatter-subtraction strategy in SPECT imaging. The study used simulated images of the biodistribution of 99mTc-labeled FO23C5 anticarcinoembryonic antigen antibodies within the liver. Projection data for 3 separate tumor locations and 5 strategies for handling scatter were obtained using Monte Carlo software applied to an anthropomorphic phantom. The strategies were (a) perfect scatter rejection, (b) no scatter correction, (c) no scatter correction under an assumption of an elevated amount of scatter, (d) an energy-spectrum-based scatter compensation of the normal-scatter case (b), and (e) similar scatter compensation for the elevated-scatter case (c). Image reconstruction approximated current clinical procedures at the University of Massachusetts Medical School. Human performance for each combination of location and strategy was based on averaging the areas under the ROC curve for 7 individuals. A set of 15 signal-to-noise ratios (SNRs) was derived from these averages for comparison with SNRs for CHO models featuring constant-Q and difference-of-gaussian (DOG) filters. RESULTS The Spearman rank correlation coefficient was 0.92 (P = 0.000001) when comparing task performances for the average human and a constant-Q CHO using 4 square-profile channels. For the DOG version of the CHO, comparison with the average human found a coefficient of 0.84 (P = 0.00005). CONCLUSION The significant positive correlations found between the rankings of the average human observer and the CHOs for our detection task indicate that a channelized model observer could eventually serve as a replacement for human observers. The specific CHO models we have used are best suited to screen for significant differences between strategies before a human psychophysical study.