Biological fingerprint for patient verification using trunk scout views at various scan ranges in computed tomography
Biological fingerprint for patient verification using trunk scout views at various scan ranges in computed tomography
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使用计算机断层扫描中不同扫描范围的躯干侦察视图进行患者验证的生物指纹
DOI：
10.1007/s12194-022-00682-2
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发表时间：
2022
影响因子：
1.6
通讯作者：
Kudomi Shohei
中科院分区：
文献类型：
--
作者：
Ueda Yasuyuki;Morishita Junji;Kudomi Shohei
即使扫描范围在针对同一患者的不同检查期间改变，也期望立即验证正被检查的患者是否正确。本研究提出了一种先进的生物指纹技术，用于快速可靠地验证同一患者躯干的计算机断层扫描（CT）中的各种扫描范围。该方法包括以下步骤：不同扫描的几何校正、局部特征提取、失配消除和相似性评估。在前两个步骤中，几何放大率校正在扫描仪工作台高度处对齐，并且计算局部最大值作为局部特征。在第三步中，来自后续侦察图像的局部特征通过模板匹配和离群值消除经由鲁棒估计器与对应的基线侦察图像中的局部特征进行匹配。我们基于相应侦察图像之间的内点比率来评估对应率。将基线和随访定位图像之间的内点比率评估为相似性评分。临床数据集，包括胸部、骨盆-骨盆和胸腹-骨盆扫描，包括600名患者（372名男性，68 ± 12岁），他们接受了两次常规躯干CT检查。受试者工作特征曲线（AUC）下的最高面积为0.996，足以进行患者验证。此外，验证结果与在相同扫描范围内使用侦察图像的传统方法相当。在主扫描之前，甚至在后续躯干CT中，在不同的扫描范围下实现患者身份验证。
Immediate verification of whether a patient being examined is correct is desirable, even if the scan ranges change during different examinations for the same patient. This study proposes an advanced biological fingerprint technique for the rapid and reliable verification of various scan ranges in computed tomography (CT) scans of the torso of the same patient. The method comprises the following steps: geometric correction of different scans, local feature extraction, mismatch elimination, and similarity evaluation. The geometric magnification correction was aligned at the scanner table height in the first two steps, and the local maxima were calculated as the local features. In the third step, local features from the follow-up scout image are matched to those in the corresponding baseline scout image via template matching and outlier elimination via a robust estimator. We evaluated the correspondence rate based on the inlier ratio between corresponding scout images. The ratio of inliers between the baseline and follow-up scout images was assessed as the similarity score. The clinical dataset, including chest, abdomen–pelvis, and chest–abdomen–pelvis scans, included 600 patients (372 men, 68 ± 12 years) who underwent two routine torso CT examinations. The highest area under the receiver operating characteristic curve (AUC) was 0.996, which was sufficient for patient verification. Moreover, the verification results were comparable to the conventional method, which uses scout images in the same scan range. Patient identity verification was achieved before the main scan, even in follow-up torso CT, under different scan ranges.
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影响因子：
1.6
作者：
Wada, Yuya;Morishita, Junji;Ikeda, Noriaki
通讯作者：
Ikeda, Noriaki
平均胸片生物指纹提取及模板匹配技术预防胸片左右翻转错误的临床应用
影响因子：
1.6
作者：
Y. Sakai;Keita Takahashi;Y. Shimizu;Emi Ishibashi;T. Kato;J. Morishita
通讯作者：
J. Morishita
DOI：
10.1016/s1553-7250(07)33004-3
发表时间：
2007-01-01
影响因子：
2.3
作者：
Bittle, Mark J.;Charache, Patricia;Wassilchalk, Daniel M.
通讯作者：
Wassilchalk, Daniel M.
联合委员会
DOI：
10.1057/9780230378988_7
发表时间：
1955
期刊：
AJN, American Journal of Nursing
影响因子：
--
作者：
Lisa K. Abel;Johanna Harris
通讯作者：
Johanna Harris
影响因子：
--
作者：
Riplinger, Lauren;Piera-Jimenez, Jordi;Dooling, Julie Pursley
通讯作者：
Dooling, Julie Pursley