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D2BGAN: Dual Discriminator Bayesian Generative Adversarial Network for Deformable MR-Ultrasound Registration Applied to Brain Shift compensation
bioRxiv - Bioengineering Pub Date : 2022-01-23 , DOI: 10.1101/2022.01.22.477329
Mahdiyeh Rahmani , Hadis Moghadssi , Parastoo Farnia , Alireza Ahmadian

Purpose In neurosurgery, image guidance is provided based on the patient to pre-operative data registration with a neuronavigation system. However, the brain shift phenomena invalidate the accuracy of the navigation system during neurosurgery. One of the most common approaches for brain shift compensation is using intra-operative ultrasound (iUS) imaging followed by registration of iUS with pre-operative magnetic resonance (MR) images. While, due to the unpredictable nature of brain deformation and the low quality of ultrasound images, finding a satisfactory multimodal image registration approach remains a challenging task.

中文翻译:

D2BGAN:适用于脑移位补偿的可变形 MR 超声配准的双鉴别器贝叶斯生成对抗网络

目的在神经外科中,根据患者提供图像引导,以便与神经导航系统进行术前数据配准。然而,脑转移现象使神经外科手术中导航系统的准确性失效。脑移位补偿最常见的方法之一是使用术中超声 (iUS) 成像,然后将 iUS 与术前磁共振 (MR) 图像配准。然而,由于大脑变形的不可预测性和超声图像的低质量,找到令人满意的多模态图像配准方法仍然是一项具有挑战性的任务。
更新日期:2022-01-27
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