Meeting Banner
Abstract #0686

Deep Convolutional Neural Network for Acceleration of Magnetic Resonance Angiography (MRA)

Yohan Jun1, Taejoon Eo1, Taeseong Kim1, Jinseong Jang1, and Dosik Hwang1

1Yonsei University, Seoul, Korea, Republic of

In this paper, we propose a deep CNN with skip connection for reconstruction of highly undersampled MRA images. According to the experiments, the proposed method could restore most of fine vessel structures manifested in full-sampled MRA images.

This abstract and the presentation materials are available to members only; a login is required.

Join Here