Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations
المؤلفون المشاركون
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-18
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
This paper proposes a new framework for capturing large and complex deformation in image registration.
Traditionally, this challenging problem relies firstly on a preregistration, usually an affine matrix containing rotation, scale, and translation and afterwards on a nonrigid transformation.
According to preregistration, the directly calculated affine matrix, which is obtained by limited pixel information, may misregistrate when large biases exist, thus misleading following registration subversively.
To address this problem, for two-dimensional (2D) images, the two-layer deep adaptive registration framework proposed in this paper firstly accurately classifies the rotation parameter through multilayer convolutional neural networks (CNNs) and then identifies scale and translation parameters separately.
For three-dimensional (3D) images, affine matrix is located through feature correspondences by a triplanar 2D CNNs.
Then deformation removal is done iteratively through preregistration and demons registration.
By comparison with the state-of-the-art registration framework, our method gains more accurate registration results on both synthetic and real datasets.
Besides, principal component analysis (PCA) is combined with correlation like Pearson and Spearman to form new similarity standards in 2D and 3D registration.
Experiment results also show faster convergence speed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Liya& Jia, Kebin. 2015. Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1058014
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Liya& Jia, Kebin. Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1058014
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Liya& Jia, Kebin. Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1058014
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1058014
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