Magnetic resonance imaging-based spirometry for regional assessment of pulmonary function

被引:27
|
作者
Voorhees, A
An, J
Berger, KI
Goldring, RM
Chen, Q
机构
[1] NYU, Sch Med, Ctr Biomed Imaging, Dept Radiol, New York, NY 10016 USA
[2] CUNY, Sch Med, Dept Med, New York, NY 10031 USA
关键词
lung ventilation; regional pulmonary function test; lung mechanics; spirometry; tagging velocimetry;
D O I
10.1002/mrm.20682
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
In this work MRI-based spirometry is presented as a method for noninvasively assessing pulmonary mechanical function on a regional basis. A SPAMM tagging sequence was modified to allow continuous dynamic imaging of the lungs during respiration. A motion-tracking algorithm was developed to track material regions from time-resolved grid-tagged images. Experiments were performed to image the lungs during quiet breathing and volumetric strain was calculated from the measured displacement maps. Regional volume calculations, derived from volumetric strain, were integrated over the entire lung and compared to segmented volume calculations with good agreement. Results from this work demonstrate that MRI spirometry has the potential to become a clinically useful tool for measuring regional ventilation and assessing pulmonary diseases that regionally affect the mechanical function of the lung. Magn Reson Med 54:1146-1154, 2005. (c) 2005 Wiley-Liss, Inc.
引用
收藏
页码:1146 / 1154
页数:9
相关论文
共 50 条
  • [1] Cardiac Magnetic Resonance Imaging-Based Right Ventricular Strain Analysis for Assessment of Coupling and Diastolic Function in Pulmonary Hypertension
    Tello, Khodr
    Dalmer, Antonia
    Vanderpool, Rebecca
    Ghofrani, Hossein A.
    Naeije, Robert
    Roller, Fritz
    Seeger, Werner
    Wilhelm, Jochen
    Gall, Henning
    Richter, Manuel J.
    JACC-CARDIOVASCULAR IMAGING, 2019, 12 (11) : 2155 - 2164
  • [2] Magnetic Resonance Imaging-Based Semiquantitative and Quantitative Assessment in Osteoarthritis
    Roemer, Frank W.
    Eckstein, Felix
    Guermazi, Ali
    RHEUMATIC DISEASE CLINICS OF NORTH AMERICA, 2009, 35 (03) : 521 - +
  • [3] Assessment of pulmonary endothelial function by magnetic resonance imaging
    Cheung, MM
    Kharbanda, RK
    Rayner, T
    Yoo, SJ
    Redington, AN
    CIRCULATION, 2005, 112 (17) : U535 - U535
  • [4] Dynamic oxygen-enhanced magnetic resonance imaging-based quantification of pulmonary hypertension
    Sathianandan, Sobitha
    Rawal, Bhavin
    Price, Laura
    Mccabe, Colm
    Tibiletti, Marta
    Naish, Jo
    Parker, Geoff J. M.
    Semple, Thomas
    Padley, Simon
    Wort, S. J.
    EUROPEAN RESPIRATORY JOURNAL, 2020, 56
  • [5] Magnetic Resonance Imaging-Based Diagnosis of Congenital Ureterocele
    Wildgruber, M.
    Gaa, J.
    Rummeny, E. J.
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2013, 185 (10): : 999 - 1000
  • [6] Smart magnetic resonance imaging-based theranostics for cancer
    Brito, Beatriz
    Price, Thomas W.
    Gallo, Juan
    Banobre-Lopez, Manuel
    Stasiuk, Graeme J.
    THERANOSTICS, 2021, 11 (18): : 8706 - 8737
  • [7] Magnetic Resonance Imaging-Based Classifications for Symptom of Adenomyosis
    Tang, Ying
    Jiang, Zhi-jun
    Wen, Ming-bo
    Su, Bin
    Huang, Jun-rong
    Wang, Hang
    Wu, Jia
    Yang, Ming-tao
    Ding, Na
    Hu, Hui-quan
    Xu, Fan
    Li, Jun
    Shi, Qiuling
    GYNECOLOGIC AND OBSTETRIC INVESTIGATION, 2024, 89 (05) : 402 - 412
  • [8] Magnetic resonance imaging-based biventricular pacemaker upgrade
    Róka, A
    Simor, T
    Vágó, SH
    Minorics, C
    Acsády, G
    Merkely, B
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2004, 27 (07): : 1011 - 1013
  • [9] Magnetic Resonance Imaging-Based Assessment of Pancreatic Fat Strongly Correlates With Histology-Based Assessment of Pancreas Composition
    Kiemen, Ashley L.
    Dbouk, Mohamad
    Diwan, Elizabeth Abou
    Forjaz, Andre
    Dequiedt, Lucie
    Baghdadi, Azarakhsh
    Madani, Seyedeh Panid
    Grahn, Mia P.
    Jones, Craig
    Vedula, Swaroop
    Wu, PeiHsun
    Wirtz, Denis
    Kern, Scott
    Goggins, Michael
    Hruban, Ralph H.
    Kamel, Ihab R.
    Canto, Marcia Irene
    PANCREAS, 2024, 53 (02) : e180 - e186
  • [10] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk
    Bianchi, Giampaolo
    Sighinolfi, Maria Chiara
    Rocco, Bernardo
    JAMA ONCOLOGY, 2018, 4 (11) : 1624 - 1625