An Inline-Integrable Image Restoration Model With ROI Fine-Tuning and Slice-to-Volume Reconstruction for Accelerated Whole-Brain Vessel Wall Imaging.

Pengcheng Wang^1,2, Jingxiang Zhang^1,2, Jiayu Xiao¹, Junzhou Chen^1,3, Zhenjia Wang⁴, Jin Li⁵, Qingle Kong¹, Steven Y Cen¹, Sophia X Cui⁶, Yifei Zhang⁷, Wei Yu⁴, Qi Yang⁵, Nasim Sheikh-Bahaei¹, William J Mack⁸, Zhaoyang Fan⁹

¹Department of Radiology, University of Southern California, Los Angeles, California, USA.

²Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.

³Department of Bioengineering, University of California Los Angeles, California, Los Angeles, California, USA.

⁴Department of Radiology, Anzhen Hospital, Beijing, China.

⁵Department of Radiology, Chaoyang Hospital, Beijing, China.

⁶Siemens Medical Solutions, Los Angeles, California, USA.

⁷GE HealthCare, Beijing, China.

⁸Department of Neurological Surgery, University of Southern California, Los Angeles, California, USA.

⁹Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.

PubMed DOI

Abstract

PURPOSE: To develop a vessel wall imaging (VWI)-dedicated image restoration model enabling high-resolution whole-brain VWI in under 6 min. METHODS: A transformer-based 2.5D model was trained in a supervised manner to enhance the image quality of CAIPIRINHA 2 × 2-accelerated VWI acquisitions to a level comparable to that of GRAPPA twofold-accelerated scans. The majority of k-space data used for tr…

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