Improvement of Medical X-Ray Imaging Quality Based on Gray Level Envelope Estimation

基于灰度包络估计的医学X射线成像质量提高

• 批准号: 13650463
• 负责人: FUKUSHIMA Shigehiro
• 金额: $ 2.11万
• 依托单位: Kyushu University (Faculty of Design)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2001
• 资助国家: 日本
• 起止时间: 2001 至 2003
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13650463/
• 关键词: trend estimation; shading; hackground variation; compensating X-ray absorption; dynamical model; interpolation; computer-aided-diagnosis

This study attempted improving the quantification quality in medical X-ray imaging, an important application class, by compensating for the background variation, or trend, by estimating it from a projection image with transparently overlapping complex background. Our special but not limiting examples are double-contrast gastro-radiographic images. The expected effect is more definite correspondence between organ structures and tone-of-gray information, which may be useful in detection and quantification of legions as well as computer-aided and automatic diagnosis. This study specially focused on the physical principle of image formation. A fundamental concept has been composed in which the background is eatimated as a gray-level envelope, which interpolates in the image the gray levels of pixels with locally minimum absorption of the X-ray. This method makes it possible to discriminate the complex background structure in scales adaptive to organ and tissue structures under observation. … More The major fruits of this study include (1) that a method has been proposed in order to estimate additively overlapped background as a gray level envelope on the basis of a dynamic analogy of free fall of an elastic net, (2) that interpolation methods have been introduced by applying planar triangular patches and curved-surface patches in order to make the gray level envelope more globally adaptive, (3) that a frainework for estimating the background variation has been proposed as well as verifying the effect of the gray level compensation by using it, (4) that the pixel-sampling method has been proposed in order to improve the accuracy of the gray-level envelope, (5) that an advancement of the proposed method has been verified against a method based on the mathematical morphology, another method consistent with the transparently overlapping of X-ray images, (6) that an advancement of the proposed method has been verified against methods based on spatial frequency region filtering of a general approach in image signal processing, and (7) that the possibility has been experimentally demonstrated of estimating the three-dimensional shape structure on the basis of gray level information, as an example of quantification quality improvement of X-ray images. Less

这项研究试图通过从投影图像中估算出具有透明重叠的复杂背景的投影图像来补偿背景变化或趋势，从而改善医疗X射线成像（重要的应用程序类别）的量化质量。我们的特殊但没有限制的例子是双对比度胃射线照相图像。预期的效果是器官结构和灰色信息之间更明确的对应关系，这可能在腿部的检测和定量以及计算机辅助和自动诊断中有用。这项研究专门针对图像形成的物理原理。一个基本的概念是组成的，在该概念中，将背景作为灰度层构成，在图像中插入了X射线局部最小滥用的像素的灰色水平。这种方法使得在适应于正在观察的器官和组织结构的尺度中区分复杂的背景结构成为可能。 …更多这项研究的主要果实包括（1）提出了一种方法，以便基于弹性网的自由下落的动态类比，将额外重叠的背景视为灰度的信封，（2）插值方法已通过将平面贴片和曲面贴剂应用于灰色层次，以使其在灰度上进行估算，以使灰色级别的适应性（均等级别的曲线）（均等级别的适应性）（均等级别的适应性）（已经提出了背景变化，并通过使用灰度补偿验证灰度补偿的效果，（4）为了提高灰度信封的准确性，已提出了像素降采样方法，（5）提出的方法是通过基于数学形式的另一种方法来验证了所提出方法的方法，该方法是基于偶然的，该方法一致地置于x x x，该方法是一致的，它是一致的（6），该方法（6）是x x的（6），该方法是x x x的，即（6）已经根据基于图像信号处理中一般方法的空间频率区域过滤的方法进行了验证，（7）已经在实验上证明了基于灰度信息估算三维形状结构的可能性，以灰度级别的信息为例，以X射线图像的数量质量改进。较少的

项目成果

S.Fukushima, Y.Watari, Y.Yoshinaga: "A Study on Estimating the Background Variation in Medical X-Ray Images [1]"Technical Report of IEICE. MI2002-51. 25-30 (2002)

S.Fukushima、Y.Watari、Y.Yoshinaga：“估计医学 X 射线图像背景变化的研究 [1]”IEICE 技术报告。

本田武史, 吉永幸靖, 福島重廣: "濃淡包絡面推定法を用いたX線画像補正"第22回日本医用画像工学会大会抄録集. CD-ROM. OP3-11 (2003)

Takeshi Honda、Yukiyasu Yoshinaga、Shigehiro Fukushima：“使用灰度包络估计方法进行 X 射线图像校正”摘自第 22 届日本医学影像工程学会 CD-ROM（2003 年）。

T.Honda, Y.Yoshinaga, S.Fukushima: "X-Ray Image Compensation by Using the Gray-Level Envelope Estimation Method"Record of 2003 Joint Conference of Electrical and Electronics Engineers in Kyushu. 10-2P-13(CD-ROM). (2003)

T.Honda、Y.Yoshinaga、S.Fukushima：“利用灰度包络估计法进行X射线图像补偿”2003年九州电气电子工程师联席会议记录。

S.Fukushima, Y.Watari, Y.Yoshinaga: "Estimation and Correction of Background Variation in Medical X-Ray Images ---Proposal od a Dynamical Model-Based Method---"Proc.2002 CAS/CAD Joint Conference. 185-186 (2002)

S.Fukushima，Y.Watari，Y.Yoshinaga：“医学X射线图像中背景变化的估计和校正——基于动态模型的方法的提议——”Proc.2002 CAS/CAD联合会议。

T.Honda, S.Fukushima, Y.Yoshinaga: "X-Ray Image Compensation Using Gray Level Estimation Method"Proc.2003 IEICE General Conference. Information and Systems 2. 348 (2003)

T.Honda、S.Fukushima、Y.Yoshinaga：“使用灰度级估计方法的 X 射线图像补偿”Proc.2003 IEICE 大会。