Multimodal Medical Image Registration Based on an Information-Theory Measure with Histogram Estimation of Continuous Image Representation
المؤلفون المشاركون
Coatrieux, Jean Louis
Shu, Huazhong
Liu, Zhoufeng
Li, Bicao
Yang, Guanyu
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-29
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
This work presents a novel method for multimodal medical registration based on histogram estimation of continuous image representation.
The proposed method, regarded as “fast continuous histogram estimation,” employs continuous image representation to estimate the joint histogram of two images to be registered.
The Jensen–Arimoto (JA) divergence is a similarity measure to measure the statistical dependence between medical images from different modalities.
The estimated joint histogram is exploited to calculate the JA divergence in multimodal medical image registration.
In addition, to reduce the grid effect caused by the grid-aligning transformations between two images and improve the implementation speed of the registration method, random samples instead of all pixels are extracted from the images to be registered.
The goal of the registration is to optimize the JA divergence, which would be maximal when two misregistered images are perfectly aligned using the downhill simplex method, and thus to get the optimal geometric transformation.
Experiments are conducted on an affine registration of 2D and 3D medical images.
Results demonstrate the superior performance of the proposed method compared to standard histogram, Parzen window estimations, particle filter, and histogram estimation based on continuous image representation without random sampling.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Bicao& Yang, Guanyu& Liu, Zhoufeng& Coatrieux, Jean Louis& Shu, Huazhong. 2018. Multimodal Medical Image Registration Based on an Information-Theory Measure with Histogram Estimation of Continuous Image Representation. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1206081
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Bicao…[et al.]. Multimodal Medical Image Registration Based on an Information-Theory Measure with Histogram Estimation of Continuous Image Representation. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1206081
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Bicao& Yang, Guanyu& Liu, Zhoufeng& Coatrieux, Jean Louis& Shu, Huazhong. Multimodal Medical Image Registration Based on an Information-Theory Measure with Histogram Estimation of Continuous Image Representation. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1206081
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1206081
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