Automatic velocity encoding (VENC) calibration for accurate quantitative flow measurement

Motivation: The optimal velocity encoding limit (VENC) in phase contrast MRI is subject-specific and is currently manually set by the technologist in a time-consuming process. Goal(s): We propose an inline automatic velocity encoding calibration for 2D phase-contrast flow MRI, which automatically computes and sets the optimal VENC. Approach: We designed a calibration module to automatically estimate the optimal VENC inline and set it in the subsequent flow measurement. Sixteen healthy volunteers were imaged at 0.55T. Results: Deployed inline, the calibration module calculated correctly the optimal VENC, mean of 97% of the maximum velocity in the ascending aorta, and automatically applied for subsequent flow sequence. Impact: Inline automatic velocity encoding calibration ensures the optimal precision in flow measurements and simplifies the acquisition workflow.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1653
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
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article

Automatic velocity encoding (VENC) calibration for accurate quantitative flow measurement

Dominique Franson, Pierre Daudé, Kelvin Chow, Rajiv Ramasawmy et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Flow Measurement and Analysis
article

Automatic velocity encoding (VENC) calibration for accurate quantitative flow measurement

Dominique Franson, Pierre Daudé, Kelvin Chow, Rajiv Ramasawmy, Ahsan Javed, Adrienne E. Campbell‐Washburn
article en

Abstract

Motivation: The optimal velocity encoding limit (VENC) in phase contrast MRI is subject-specific and is currently manually set by the technologist in a time-consuming process. Goal(s): We propose an inline automatic velocity encoding calibration for 2D phase-contrast flow MRI, which automatically computes and sets the optimal VENC. Approach: We designed a calibration module to automatically estimate the optimal VENC inline and set it in the subsequent flow measurement. Sixteen healthy volunteers were imaged at 0.55T. Results: Deployed inline, the calibration module calculated correctly the optimal VENC, mean of 97% of the maximum velocity in the ascending aorta, and automatically applied for subsequent flow sequence. Impact: Inline automatic velocity encoding calibration ensures the optimal precision in flow measurements and simplifies the acquisition workflow.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 72%
Flow Measurement and Analysis
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Automatic velocity encoding (VENC) calibration for accurate quantitative flow measurement — Dominique Franson, Pierre Daudé, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS