Region-Based Segmentation and Wiener Pilot-Based Novel Amoeba Denoising Scheme for CT Imaging
المؤلفون المشاركون
Talha, Syed Muhammad Umar
Mairaj, Tariq
Yousuf, Waleed Bin
Zahed, Jawwad Ali
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-14
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Computed tomography (CT) is one of the most common and beneficial medical imaging schemes, but the associated high radiation dose injurious to the patient is always a concern.
Therefore, postprocessing-based enhancement of a CT reconstructed image acquired using a reduced dose is an active research area.
Amoeba- (or spatially variant kernel-) based filtering is a strong candidate scheme for postprocessing of the CT image, which adapts its shape according to the image contents.
In the reported research work, the amoeba filtering is customized for postprocessing of CT images acquired at a reduced X-ray dose.
The proposed scheme modifies both the pilot image formation and amoeba shaping mechanism of the conventional amoeba implementation.
The proposed scheme uses a Wiener filter-based pilot image, while region-based segmentation is used for amoeba shaping instead of the conventional amoeba distance-based approach.
The merits of the proposed scheme include being more suitable for CT images because of the similar region-based and symmetric nature of the human body anatomy, image smoothing without compromising on the edge details, and being adaptive in nature and more robust to noise.
The performance of the proposed amoeba scheme is compared to the traditional amoeba kernel in the image denoising application for CT images using filtered back projection (FBP) on sparse-view projections.
The scheme is supported by computer simulations using fan-beam projections of clinically reconstructed and simulated head CT phantoms.
The scheme is tested using multiple image quality matrices, in the presence of additive projection noise.
The scheme implementation significantly improves the image quality visually and statistically, providing better contrast and image smoothing without compromising on edge details.
Promising results indicate the efficacy of the proposed scheme.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Talha, Syed Muhammad Umar& Mairaj, Tariq& Yousuf, Waleed Bin& Zahed, Jawwad Ali. 2020. Region-Based Segmentation and Wiener Pilot-Based Novel Amoeba Denoising Scheme for CT Imaging. Scanning،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1207460
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Talha, Syed Muhammad Umar…[et al.]. Region-Based Segmentation and Wiener Pilot-Based Novel Amoeba Denoising Scheme for CT Imaging. Scanning No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1207460
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Talha, Syed Muhammad Umar& Mairaj, Tariq& Yousuf, Waleed Bin& Zahed, Jawwad Ali. Region-Based Segmentation and Wiener Pilot-Based Novel Amoeba Denoising Scheme for CT Imaging. Scanning. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1207460
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1207460
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