A Novel 3D Reconstruction Algorithm of Motion-Blurred CT Image
المؤلفون المشاركون
Li, Hong-an
Li, Zhanli
Jing, Zhang
Qiang, Guo
Fang, Han
Yu, Sun
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-01
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The majority of medical workers are eager to obtain realistic and real-time CT 3D reconstruction results.
However, autonomous or involuntary motion of patients can cause blurring of CT images.
For the 3D reconstruction scene of motion-blurred CT image, this paper consists of two parts: firstly, a GAN image translation network deblurring algorithm is proposed to remove blurred results.
This algorithm adopts the clear image to supervise the training process of the blurred image, which creates solutions that are close to the clear image.
Secondly, this paper proposes a Marching Cubes (MC) algorithm based on the fusion of golden section and isosurface direction smooth (GI-MC) for 3D reconstruction of CT images.
The golden section algorithm is used to calculate the equivalent points and normal vectors, which reduces the calculation numbers from four to one.
The isosurface direction smooth algorithm computes the mean value of the normal vector, so as to smooth the direction of all triangular patches in spatial arrangement.
The experimental results show that for different blurred angle and blurred amplitude, comparing the results of the Shannon entropy ratio and peak signal-to-noise ratio, our GAN image translation network deblurring algorithm has better restoration than other algorithms.
Furthermore, for different types of liver patients, the reconstruction accuracy of our GI-MC algorithm is 9.9%, 7.7%, and 3.9% higher than that of the traditional MC algorithm, Li’s algorithm, and Pratomo’s algorithm, respectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jing, Zhang& Qiang, Guo& Fang, Han& Li, Zhanli& Li, Hong-an& Yu, Sun. 2020. A Novel 3D Reconstruction Algorithm of Motion-Blurred CT Image. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139661
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jing, Zhang…[et al.]. A Novel 3D Reconstruction Algorithm of Motion-Blurred CT Image. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139661
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jing, Zhang& Qiang, Guo& Fang, Han& Li, Zhanli& Li, Hong-an& Yu, Sun. A Novel 3D Reconstruction Algorithm of Motion-Blurred CT Image. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139661
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139661
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر