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Fan W, Sang Y, Zhou H, Xiao J, Fan Z, Ruan D. MRA-free intracranial vessel localization on MR vessel wall images. Sci Rep 2022; 12:6240. [PMID: 35422490 PMCID: PMC9010428 DOI: 10.1038/s41598-022-10256-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 03/31/2022] [Indexed: 11/08/2022] Open
Abstract
Analysis of vessel morphology is important in assessing intracranial atherosclerosis disease (ICAD). Recently, magnetic resonance (MR) vessel wall imaging (VWI) has been introduced to image ICAD and characterize morphology for atherosclerotic lesions. In order to automatically perform quantitative analysis on VWI data, MR angiography (MRA) acquired in the same imaging session is typically used to localize the vessel segments of interest. However, MRA may be unavailable caused by the lack or failure of the sequence in a VWI protocol. This study aims to investigate the feasibility to infer the vessel location directly from VWI. We propose to synergize an atlas-based method to preserve general vessel structure topology with a deep learning network in the motion field domain to correct the residual geometric error. Performance is quantified by examining the agreement between the extracted vessel structures from the pair-acquired and alignment-corrected angiogram, and the estimated output using a cross-validation scheme. Our proposed pipeline yields clinically feasible performance in localizing intracranial vessels, demonstrating the promise of performing vessel morphology analysis using VWI alone.
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Affiliation(s)
- Weijia Fan
- Department of Physics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yudi Sang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Hanyue Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jiayu Xiao
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Zhaoyang Fan
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
- Department of Radiation Oncology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Dan Ruan
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, USA.
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