Respiratory Motion Detection and Correction for MR Using the Pilot Tone: Applications for MR and Simultaneous PET/MR Examinations.
Journal
Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
pubmed:
3
1
2020
medline:
18
11
2020
entrez:
3
1
2020
Statut:
ppublish
Résumé
The aim of this study was to develop a method for tracking respiratory motion throughout full MR or PET/MR studies that requires only minimal additional hardware and no modifications to the sequences. Patient motion that is caused by respiration affects the quality of the signal of the individual radiofrequency receive coil elements. This effect can be detected as a modulation of a monofrequent signal that is emitted by a small portable transmitter placed inside the bore (Pilot Tone). The frequency is selected such that it is located outside of the frequency band of the actual MR readout experiment but well within the bandwidth of the radiofrequency receiver, that is, the oversampling area. Temporal variations of the detected signal indicate motion. After extraction of the signal from the raw data, principal component analysis was used to identify respiratory motion. The approach and potential applications during MR and PET/MR examinations that rely on a continuous respiratory signal were validated with an anthropomorphic, PET/MR-compatible motion phantom as well as in a volunteer study. Respiratory motion detection and correction were presented for MR and PET data in phantom and volunteer studies. The Pilot Tone successfully recovered the ground-truth respiratory signal provided by the phantom. The presented method provides reliable respiratory motion tracking during arbitrary imaging sequences throughout a full PET/MR study. All results can directly be transferred to MR-only applications as well.
Identifiants
pubmed: 31895221
doi: 10.1097/RLI.0000000000000619
pmc: PMC7039314
mid: NIHMS1539494
pii: 00004424-202003000-00004
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
153-159Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB017183
Pays : United States
Références
Quick HH, von Gall CC, Zeilinger M, et al. Integrated whole-body PET/MR hybrid imaging: clinical experience. Invest Radiol. 2013;48:280–289.
Fürst S, Grimm R, Hong I, et al. Motion correction strategies for integrated PET/MR. J Nucl Med. 2015;56:261–269.
Grimm R, Fürst S, Souvatzoglou M, et al. Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI. Med Image Anal. 2015;19:110–120.
Kolbitsch C, Prieto C, Tsoumpas C, et al. A 3D MR acquisition scheme for nonrigid bulk motion correction in simultaneous PET-MR. Med Phys. 2014;41:082304.
Würslin C, Schmidt H, Martirosian P, et al. Respiratory motion correction in oncologic PET using T1-weighted MR imaging on a simultaneous whole-body PET/MR system. J Nucl Med. 2013;54:464–471.
Chun SY, Reese TG, Ouyang J, et al. MRI-based nonrigid motion correction in simultaneous PET/MRI. J Nucl Med. 2012;53:1284–1291.
Buether F, Dawood M, Stegger L, et al. List mode-driven cardiac and respiratory gating in PET. J Nucl Med. 2009;50:674–681.
Ouyang J, Li Q, El Fahkri G. Magnetic resonance-based motion correction for positron emission tomography. Semin Nucl Med. 2013;43:60–67.
Feng L, Leon A, Chandarana H, et al. XD-GRASP: golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing. Magn Reson Med. 2015;75:775–788.
Brau ACS, Brittain JH. Generalized self-navigated motion detection technique: preliminary investigation in abdominal imaging. Magn Reson Med. 2006;55:263–270.
Rigie D, Vahle T, Zhao T, et al. Cardiorespiratory motion-tracking via self-refocused rosette navigators. Magn Reson Med. 2019;81:2947–2958.
Speier P, Fenchel M, Rehner R. PT-Nav: A Novel Respiratory Navigation Method for Continuous Acquisition Based on Modulation of a Pilot Tone on the MR-Receiver. Proc ESMRMB. 2015;129:97–98. https://doi.org/10.1007/s10334-015-0487-2.
doi: 10.1007/s10334-015-0487-2
Schroeder L, Wetzl J, Maier A, et al. A novel method for contact-free cardiac synchronization using the pilot tone navigator. Proc ISMRM. 2016;24:410. Available at: http://indexsmart.mirasmart.com/ISMRM2016/PDFfiles/0410.html.
Schroeder L, Wetzl J, Maier A, et al. Two-dimensional respiratory-motion characterization for continuous MR measurements using pilot tone navigation. Proc ISMRM. 2016;24:3103. http://indexsmart.mirasmart.com/ISMRM2016/PDFfiles/3103.html.
Bacher M. Cardiac triggering based on locally generated pilot-tones in a commercial MRI scanner: a feasibility study. TU Graz: Master Thesis; 2017: https://diglib.tugraz.at/cardiac-triggering-based-on-locally-generated-pilot-tones-in-a-commercial-mri-scanner-a-feasibility-study-2017.
Bolwin K, Czekalla B, Frohwein LJ, et al. Anthropomorphic thorax phantom for cardio-respiratory motion simulation in tomographic imaging. Phys Med Biol. 2018;63:035009.
David C, Vahle T, Grimm R, et al. Motion compensation for free-breathing diffusion-weighted imaging (MoCo DWI). In: Proc ISMRM. 2019.
Delso G, Fürst S, Jakoby B, et al. Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner. J Nucl Med. 2011;52:1914–1922.
Bacher M, Speier P, Bollenbeck J, et al. Pilot tone navigation enables contactless prospective cardiac triggering: initial volunteer results for prospective cine. In: Proc ISMRM. 2018.
Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Nucl Science. 1999;10:626–634.
Carney JPJ, Townsend DW, Rappoport V, et al. Method for transforming CT images for attenuation correction in PET/CT imaging. Med Phys. 2006;33:976–983.
Thirion JP. Image matching as a diffusion process: an analogy to Maxwell's demons. Med Image Anal. 1998;2:243–260.
Natsuaki Y, Keerthisavan MB, Bilgin A, et al. Flexible and efficient 2D radial TSE T2 mapping with tiered echo sharing and with “pseudo” golden angle ratio reordering. Proc ISMRM. 2017.
Benkert T, Feng L, Sodickson D, et al. Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging. Magn Reson Med. 2017;78:565–576.
Block KT, Chandarana H, Milla S, et al. Towards Routine Clinical Use of Radial Stack-of-Stars 3D Gradient-Echo Sequences for Reduced Motion Sensitivity. J Korean Soc Magn Reason Med. 2014;18:87–106.
Belouchrani A, Abed-Meraim K, Cardoso JF, et al. A blind source separation technique using second-order statistics. IEEE Trans Signal Process. 1997;45:434–444.