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首页> 外文期刊>Journal of Digital Imaging >Development of a Voxel-Matching Technique for Substantial Reduction of Subtraction Artifacts in Temporal Subtraction Images Obtained from Thoracic MDCT
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Development of a Voxel-Matching Technique for Substantial Reduction of Subtraction Artifacts in Temporal Subtraction Images Obtained from Thoracic MDCT

机译：大幅减少胸腔MDCT获得的时间相减图像中相减伪像的体素匹配技术的开发

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A temporal subtraction image, which is obtained by subtraction of a previous image from a current one, can be used for enhancing interval changes (such as formation of new lesions and changes in existing abnormalities) on medical images by removing most of the normal structures. However, subtraction artifacts are commonly included in temporal subtraction images obtained from thoracic computed tomography and thus tend to reduce its effectiveness in the detection of pulmonary nodules. In this study, we developed a new method for substantially removing the artifacts on temporal subtraction images of lungs obtained from multiple-detector computed tomography (MDCT) by using a voxel-matching technique. Our new method was examined on 20 clinical cases with MDCT images. With this technique, the voxel value in a warped (or nonwarped) previous image is replaced by a voxel value within a kernel, such as a small cube centered at a given location, which would be closest (identical or nearly equal) to the voxel value in the corresponding location in the current image. With the voxel-matching technique, the correspondence not only between the structures but also between the voxel values in the current and the previous images is determined. To evaluate the usefulness of the voxel-matching technique for removal of subtraction artifacts, the magnitude of artifacts remaining in the temporal subtraction images was examined by use of the full width at half maximum and the sum of a histogram of voxel values, which may indicate the average contrast and the total amount, respectively, of subtraction artifacts. With our new method, subtraction artifacts due to normal structures such as blood vessels were substantially removed on temporal subtraction images. This computerized method can enhance lung nodules on chest MDCT images without disturbing misregistration artifacts. Key words Temporal subtraction - nonlinear warping - computer-aided diagnosis - chest CT - image registration USPHS Grants CA62625, CA98119.
机译：通过从当前图像中减去先前图像而获得的时间相减图像可以用于通过去除大多数正常结构来增强医学图像上的间隔变化（例如新病变的形成和现有异常的变化）。然而，从胸部计算机断层摄影术获得的时间相减图像中通常包括相减伪影，因此倾向于降低其在检测肺结节中的有效性。在这项研究中，我们开发了一种新方法，可以通过使用体素匹配技术从多探测器计算机断层扫描（MDCT）中基本上消除肺部时间相减图像上的伪影。我们的新方法已在20例具有MDCT图像的临床病例中进行了检查。使用此技术，将扭曲（或未扭曲）的先前图像中的体素值替换为内核中的体素值，例如以给定位置为中心的小立方体，该位置将最接近（相同或几乎等于）体素当前图像中相应位置的值。利用体素匹配技术，不仅确定结构之间的对应关系，而且还确定当前图像和先前图像中的体素值之间的对应关系。为了评估体素匹配技术对消除相减伪影的有用性，通过使用半峰全宽和体素值直方图的总和来检查保留在时间相减图像中的伪影的大小。相减伪影的平均对比度和总量。使用我们的新方法，在时间减影图像上基本上消除了由于正常结构（如血管）引起的减影伪影。这种计算机化方法可以增强胸部MDCT图像上的肺结节，而不会干扰配准伪影。关键词时间减法-非线性翘曲-计算机辅助诊断-胸部CT-图像配准USPHS Grants CA62625，CA98119。

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