Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network
一、Motivation 不同模態的圖像之間強度分佈存在差異，因此現存的配准算法不具備很強的魯棒性。 無監督且端到端 包含三個部分：特徵提取、變形場生成器、空間變換採樣。 該方法同時考慮了圖像強度和梯度，避免了基於強度的相似性度量的缺點。 二、Method 上圖是整個算法的框架， 兩個全卷機網絡作爲特徵提取器。分別輸入MRI and IUS圖像。然後兩個特徵提取器的輸出concatenated輸入
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相關文章
- 1. 【論文筆記】Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks
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