Combining Acceleration Techniques for Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction
المؤلفون المشاركون
Huang, Hsuan-Ming
Hsiao, Ing-Tsung
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-05
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background and Objective.
Over the past decade, image quality in low-dose computed tomography has been greatly improved by various compressive sensing- (CS-) based reconstruction methods.
However, these methods have some disadvantages including high computational cost and slow convergence rate.
Many different speed-up techniques for CS-based reconstruction algorithms have been developed.
The purpose of this paper is to propose a fast reconstruction framework that combines a CS-based reconstruction algorithm with several speed-up techniques.
Methods.
First, total difference minimization (TDM) was implemented using the soft-threshold filtering (STF).
Second, we combined TDM-STF with the ordered subsets transmission (OSTR) algorithm for accelerating the convergence.
To further speed up the convergence of the proposed method, we applied the power factor and the fast iterative shrinkage thresholding algorithm to OSTR and TDM-STF, respectively.
Results.
Results obtained from simulation and phantom studies showed that many speed-up techniques could be combined to greatly improve the convergence speed of a CS-based reconstruction algorithm.
More importantly, the increased computation time (≤10%) was minor as compared to the acceleration provided by the proposed method.
Conclusions.
In this paper, we have presented a CS-based reconstruction framework that combines several acceleration techniques.
Both simulation and phantom studies provide evidence that the proposed method has the potential to satisfy the requirement of fast image reconstruction in practical CT.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Hsuan-Ming& Hsiao, Ing-Tsung. 2017. Combining Acceleration Techniques for Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction. BioMed Research International،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1138199
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Hsuan-Ming& Hsiao, Ing-Tsung. Combining Acceleration Techniques for Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction. BioMed Research International No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1138199
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Hsuan-Ming& Hsiao, Ing-Tsung. Combining Acceleration Techniques for Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1138199
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138199
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