Free‐breathing radial imaging using a pilot‐tone radiofrequency transmitter for detection of respiratory motion. Issue 5 (11th December 2020)

• Record Type: Journal Article
• Authors: Solomon, Eddy; Rigie, David S.; Vahle, Thomas; Paška, Jan; Bollenbeck, Jan; Sodickson, Daniel K.; Boada, Fernando E.; Block, Kai Tobias; Chandarana, Hersh
• Is Part Of: Magnetic resonance in medicine. Volume 85:Issue 5(2021)
• Page Start: 2672
• Page End: 2685
• Publication Date: 2020-12-11
• Subjects: motion‐resolved reconstruction -- pilot‐tone -- radial sampling -- self‐navigation -- XD‐GRASP; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.28616
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To describe an approach for detection of respiratory signals using a transmitted radiofrequency (RF) reference signal called Pilot‐Tone (PT) and to use the PT signal for creation of motion‐resolved images based on 3D stack‐of‐stars imaging under free‐breathing conditions. Methods: This work explores the use of a reference RF signal generated by a small RF transmitter, placed outside the MR bore. The reference signal is received in parallel to the MR signal during each readout. Because the received PT amplitude is modulated by the subject's breathing pattern, a respiratory signal can be obtained by detecting the strength of the received PT signal over time. The breathing‐induced PT signal modulation can then be used for reconstructing motion‐resolved images from free‐breathing scans. The PT approach was tested in volunteers using a radial stack‐of‐stars 3D gradient echo (GRE) sequence with golden‐angle acquisition. Results: Respiratory signals derived from the proposed PT method were compared to signals from a respiratory cushion sensor and k‐space‐center‐based self‐navigation under different breathing conditions. Moreover, the accuracy was assessed using a modified acquisition scheme replacing the golden‐angle scheme by a zero‐angle acquisition. Incorporating the PT signal into eXtra‐Dimensional (XD) motion‐resolved reconstruction led to improved image quality and clearer anatomical depiction of the lung and liver compared to k‐space‐center signal and motion‐averaged reconstruction, when binned into 6, 8, and 10 motion states. Conclusion: PT is a novel concept for tracking respiratory motion. Its small dimension (8 cm), high sampling rate, and minimal interaction with the imaging scan offers great potential for resolving respiratory motion. Abstract : Click here for author‐reader discussions