Lung T2* mapping using 3D ultrashort TE with tight intervals δTE

Vadim Malis, Yoshimori Kassai, Diana Vucevic, Won C. Bae, Yoshiharu Ohno, Andrew Yen, Mitsue Miyazaki

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Purpose: To develop 3D ultrashort-TE (UTE) sequences with tight TE intervals (δTE), allowing for accurate (Figure presented.) mapping of lungs under free breathing. Methods: We have implemented a four-echo UTE sequence with δTE (< 0.5 ms). A Monte-Carlo simulation was performed to identify an optimal number of echoes that would result in a significant improvement in the accuracy of the (Figure presented.) fit within an acceptable scan time. A validation study was conducted on a phantom with known short (Figure presented.) values (< 5 ms). The scanning protocol included a combination of a standard multi-echo UTE with six echoes (2.2-ms intervals) and a new four-echo UTE (TE < 2 ms) with tight TE intervals δTE. The human imaging was performed at 3 T on 6 adult volunteers. (Figure presented.) mapping was performed with mono-exponential and bi-exponential models. Results: The simulation for the proposed 10-echo acquisition predicted over 2-fold improvement in the accuracy of estimating the short (Figure presented.) compared with the regular six-echo acquisition. In the phantom study, the (Figure presented.) was measured up to three times more accurately compared with standard six-echo UTE. In human lungs, (Figure presented.) maps were successfully obtained from 10 echoes, yielding average values (Figure presented.) = 1.62 ± 0.48 ms for mono-exponential and (Figure presented.) = 1.00 ± 0.53 ms for bi-exponential models. Conclusion: A UTE sequence using δTE was implemented and validated on short (Figure presented.) phantoms. The sequence was successfully applied for lung imaging; the bi-exponential signal model fit for human lung imaging may provide valuable insights into the diseased human lungs.

Original languageEnglish
Pages (from-to)2001-2010
Number of pages10
JournalMagnetic Resonance in Medicine
Volume90
Issue number5
DOIs
Publication statusPublished - 11-2023

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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