An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis
المؤلفون المشاركون
Fan, Chao
Yang, Huan
Qian, Pengjiang
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-30
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Multimodal registration is a challenging task due to the significant variations exhibited from images of different modalities.
CT and MRI are two of the most commonly used medical images in clinical diagnosis, since MRI with multicontrast images, together with CT, can provide complementary auxiliary information.
The deformable image registration between MRI and CT is essential to analyze the relationships among different modality images.
Here, we proposed an indirect multimodal image registration method, i.e., sCT-guided multimodal image registration and problematic image completion method.
In addition, we also designed a deep learning-based generative network, Conditional Auto-Encoder Generative Adversarial Network, called CAE-GAN, combining the idea of VAE and GAN under a conditional process to tackle the problem of synthetic CT (sCT) synthesis.
Our main contributions in this work can be summarized into three aspects: (1) We designed a new generative network called CAE-GAN, which incorporates the advantages of two popular image synthesis methods, i.e., VAE and GAN, and produced high-quality synthetic images with limited training data.
(2) We utilized the sCT generated from multicontrast MRI as an intermediary to transform multimodal MRI-CT registration into monomodal sCT-CT registration, which greatly reduces the registration difficulty.
(3) Using normal CT as guidance and reference, we repaired the abnormal MRI while registering the MRI to the normal CT.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Huan& Qian, Pengjiang& Fan, Chao. 2020. An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139370
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Huan…[et al.]. An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139370
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Huan& Qian, Pengjiang& Fan, Chao. An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139370
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139370
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