UTE‐SENCEFUL: first results for 3D high‐resolution lung ventilation imaging

• Published in: Magnetic resonance in medicine 2019-04, Vol.81 (4), p.2464-2473
• Main Authors: Mendes Pereira, L., Wech, T., Weng, A.M., Kestler, C., Veldhoen, S., Bley, T.A., Köstler, H.
• Format: Article
• Language: English
• Subjects: Adult; Algorithms; Breathing; Carcinoma, Non-Small-Cell Lung - diagnostic imaging; Contrast agents; Contrast Media - chemistry; Data acquisition; Direct current; Female; functional lung imaging; Functional magnetic resonance imaging; Healthy Volunteers; Humans; Image Interpretation, Computer-Assisted - methods; Image Processing, Computer-Assisted - methods; Image quality; Image reconstruction; Image registration; Imaging, Three-Dimensional - methods; Lung - diagnostic imaging; Lung cancer; lung MRI; Lung Neoplasms - diagnostic imaging; Lungs; Magnetic Resonance Imaging; Male; Medical imaging; Middle Aged; Motion; Perfusion; Respiration; Respiratory-Gated Imaging Techniques - methods; self‐gating MRI; SENCEFUL; Signal-To-Noise Ratio; UTE; Ventilation; Young Adult
• ISSN: 0740-3194; 1522-2594
• DOI: 10.1002/mrm.27576

Purpose This study aimed to develop a 3D MRI technique to assess lung ventilation in free‐breathing and without the administration of contrast agent. Methods A 3D‐UTE sequence with a koosh ball trajectory was developed for a 3 Tesla scanner. An oversampled k‐space was acquired, and the direct current signal from the k‐space center was used as a navigator to sort the acquired data into 8 individual breathing phases. Gradient delays were corrected, and iterative SENSE was used to reconstruct the individual timeframes. Subsequently, the signal changes caused by motion were eliminated using a 3D image registration technique, and ventilation‐weighted maps were created by analyzing the signal changes in the lung tissue. Six healthy volunteers and 1 patient with lung cancer were scanned with the new 3D‐UTE and the standard 2D technique. Image quality and quantitative ventilation values were compared between both methods. Results UTE‐based self‐gated noncontrast‐enhanced functional lung (SENCEFUL) MRI provided a time‐resolved reconstruction of the breathing motion, with a 49% increase of the SNR. Ventilation quantification for healthy subjects was in statistical agreement with 2D‐SENCEFUL and the literature, with a mean value of 0.11 ± 0.08 mL/mL for the whole lung. UTE‐SENCEFUL was able to visualize and quantify ventilation deficits in a patient with lung tumor that were not properly depicted by 2D‐SENCEFUL. Conclusion UTE‐SENCEFUL represents a robust MRI method to assess both morphological and functional information of the lungs in 3D. When compared to the 2D approach, 3D‐UTE offered ventilation maps with higher resolution, improved SNR, and reduced ventilation artifacts.