CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network
المؤلفون المشاركون
Huang, Meiping
Gou, Shuiping
Zhuang, Jian
Lu, Yunfei
Li, Bing
Liu, Ningtao
Chen, Jia-Wei
Xiao, Li
Chen, Linlin
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-02
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Transesophageal echocardiography (TEE) has become an essential tool in interventional cardiologist’s daily toolbox which allows a continuous visualization of the movement of the visceral organ without trauma and the observation of the heartbeat in real time, due to the sensor’s location at the esophagus directly behind the heart and it becomes useful for navigation during the surgery.
However, TEE images provide very limited data on clear anatomically cardiac structures.
Instead, computed tomography (CT) images can provide anatomical information of cardiac structures, which can be used as guidance to interpret TEE images.
In this paper, we will focus on how to transfer the anatomical information from CT images to TEE images via registration, which is quite challenging but significant to physicians and clinicians due to the extreme morphological deformation and different appearance between CT and TEE images of the same person.
In this paper, we proposed a learning-based method to register cardiac CT images to TEE images.
In the proposed method, to reduce the deformation between two images, we introduce the Cycle Generative Adversarial Network (CycleGAN) into our method simulating TEE-like images from CT images to reduce their appearance gap.
Then, we perform nongrid registration to align TEE-like images with TEE images.
The experimental results on both children’ and adults’ CT and TEE images show that our proposed method outperforms other compared methods.
It is quite noted that reducing the appearance gap between CT and TEE images can benefit physicians and clinicians to get the anatomical information of ROIs in TEE images during the cardiac surgical operation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lu, Yunfei& Li, Bing& Liu, Ningtao& Chen, Jia-Wei& Xiao, Li& Gou, Shuiping…[et al.]. 2020. CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139455
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lu, Yunfei…[et al.]. CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1139455
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lu, Yunfei& Li, Bing& Liu, Ningtao& Chen, Jia-Wei& Xiao, Li& Gou, Shuiping…[et al.]. CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139455
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139455
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