Developments of Image Processing Methods for Detecting Small Lesions at Early Stage of Cancer on X-RAY Images

X射线图像检测癌症早期小病变的图像处理方法的进展

• 批准号: 02454458
• 负责人: KODERA Yoshie
• 金额: $ 4.35万
• 依托单位: Hiroshima University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1990
• 资助国家: 日本
• 起止时间: 1990 至 1991
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-02454458/
• 关键词: Medical x-ray image; Quantum mottle; Digital filter; Bayes' theorem; Cancer; Image Processing; Visual response

In this study, some restoration methods for the x-ray images with optical blurs and quantum mottles were developed by considering each physical mechanism of the medical x-ray image formation. More specifically, the optical blurs were first deterministically cleared away by using the transfer characteristic of the laser scanner, the characteristic curve of the film, the logarithmic transformation of the optical density and a pseudo-inverse filter based on the point spread function. Next, two restoration methods for remaining quantum mottles were derived from the basis of a Bayes' theorem. One was a wide sense digital filter of a stochastic type using the statistical properties of quantum mottles. Another was a new extended regression model that might have a little information lack and a simple experimental regression model. Thus, the quantum mottles were statistically removed. The results were presented as iA new restoration method for medical x-ray images with optical blurs and quantum … More mottles j (Trans. of IEICE, Vol. E73, No. 5, pp. 670-678 (1990) ) and as iA restoration method of medical x-ray images based on an extended regression analysis method j (Denshi Joho Tsushin Gakkai Ronbunshi D-II, Vol. J74-D-II, No. 3, pp. 442-452 (1991) ), respectively. Moreover, by expanding the multi-variate Bayes' theorem into the hierarchical form matched to the actual complexity of various wave forms, a dynamical method of restoring the degraded images under the random measurement noises was newly established. This result was presented as iA dynamical method of adaptive restoration for the medical x-ray images with optical blurs and quantum mottles by use of wide sense digital filter j in The International Conference on Noise in Physical Systems and 1/f Fluctuations in Kyoto in Oct. 1991.Finally, the restoration method of x-ray images proposed in this study was applied to those of the actual dental images, and dentists visually evaluated and confirmed the effectiveness of these processed images. Less

本研究从医用X射线成像的各个物理机制出发，提出了几种基于光学模糊和量子斑点的X射线图像复原方法。更具体地说，首先利用激光扫描仪的传输特性、胶片的特性曲线、光密度的对数变换和基于点扩散函数的伪逆滤波来确定地消除光学模糊。其次，在贝叶斯定理的基础上，给出了剩余量子斑点的两种复原方法。一种是利用量子斑驳的统计特性的随机类型的广义数字过滤器。另一种是新的扩展回归模型和一个简单的实验回归模型，该模型可能有一点信息缺乏。因此，从统计上讲，量子斑驳被移除了。提出了一种新的基于光学模糊和量子…的医用X射线图像复原方法更多的斑驳j(译文)来自佛蒙特州IEICE。E73，第5号，第670-678页(1990))和基于扩展回归分析方法的医学X射线图像的IA恢复方法(Denshi Joho Tsushin Gakkai Ronbunshi D-II，Vol.J74-D-II，第3号，第442-452页(1991))。此外，通过将多元贝叶斯定理扩展到与各种波形的实际复杂性相匹配的层次形式，新建立了一种在随机测量噪声下恢复退化图像的动态方法。这一结果是1991年10月在京都举行的物理系统噪声和1/f涨落国际会议上提出的对带有光学模糊和量子斑点的医用X射线图像进行自适应恢复的IA动态方法。最后，将本文提出的X射线图像恢复方法应用于实际的牙科图像，牙科医生对处理后的图像进行了视觉评估和验证。较少

项目成果

橋田 昌弘: "CRT観察系における低コントラスト物質の検出能ーCT画像についてー" 日本放射線技術学会雑誌. 46. 890-895 (1990)

Masahiro Hashida：“CRT观察系统中低对比度物质的检测能力-关于CT图像”日本放射线技术学会杂志46。890-895（1990）。

Kazutatsu HATAKEYAMA: "A dynamical method of adaptive restoration for medical x-ray images with optical blurs and quantum mottles by use of wide sense digital filter" Proceedings of the International Conference on Noise in Physical Systems and 1/f Fluctua

Kazutatsu HATAKEYAMA：“通过使用宽感数字滤波器对具有光学模糊和量子斑点的医学 X 射线图像进行自适应恢复的动态方法”物理系统噪声和 1/f Fluctua 国际会议论文集

太田 光雄: "基礎情報音響工学" 朝倉書店, (1991)

太田光雄：《音频工程基础信息》朝仓书店，（1991）

太田 光雄: "拡張した回帰分析法による医用X線画像の一復元" 電子情報通信学会論文誌DーII. J74ーDーII. 442-452 (1991)

Mitsuo Ota：“使用扩展回归分析方法恢复医学 X 射线图像”，电子、信息和通信工程师协会汇刊 D-II J74-D-II (1991)。

Mitsuo OHTA: "A new restoration method for medical xーray images with optical brurs and guantum mottles" The Transactions of the IEICE. E73. 670-678 (1990)

Mitsuo OHTA：“一种具有光学毛刺和量子斑驳的医学 X 射线图像的新修复方法”，IEICE 670-678（1990 年）。