CAMWARE: Cascaded Multi-level Wavelet Refine Neural Network for Accelerated Whole-brain MR Vessel Wall Imaging
CAMWARE: Cascaded Multi-level Wavelet Refine Neural Network for Accelerated Whole-brain MR Vessel Wall Imaging
Zhehao Hu,Alexander Lerner,Roy A. Poblete,Z. Fan
TLDR
A novel intracranial vessel-dedicated CAscaded Multi-level WAvelet REfine (CAMWARE) network is developed that enables a VWI scan within 4 minutes and achieved significant improvement in vessel wall delination over conventional compressed sensing reconstruction, and several state-of-the-art deep neural networks, such as U-Net and multi-level wavelet U- net.
Abstract
3D MR vessel wall imaging (VWI) is a non-invasive imaging modality for directly assessing intracranial arterial wall diseases. A typical intracranial VWI protocol requires 6-12 minutes per scan to obtain adequate spatial coverage and resolution. Such a long scan time hinders widespread use of VWI in clinical settings. We have developed a novel intracranial vessel-dedicated CAscaded Multi-level WAvelet REfine (CAMWARE) network that enables a VWI scan within 4 minutes. The proposed network achieved significant improvement in vessel wall delination over conventional compressed sensing reconstruction, and several state-of-the-art deep neural networks, such as U-Net and multi-level wavelet U-Net.
