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Respiratory self‐gated 3 D UTE for lung imaging in small animal MRI
Author(s) -
Tibiletti Marta,
Bianchi Andrea,
Kjørstad Åsmund,
Wundrak Stefan,
Stiller Detlef,
Rasche Volker
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26463
Subject(s) - magnetic resonance imaging , diaphragm (acoustics) , signal (programming language) , lung , nuclear medicine , computer science , physics , nuclear magnetic resonance , medicine , acoustics , radiology , loudspeaker , programming language
Purpose To investigate retrospective respiratory gating of three‐dimensional ultrashort echo time (3D UTE) lung acquisition in free‐breathing rats using k‐space center self gating signal (DC‐SG) and 3D image‐based SG (3D‐Img‐SG). Methods Seven rats were investigated with a quasi‐random 3D UTE protocol. Low‐resolution time‐resolved sliding‐window images were reconstructed with a 3D golden‐angle radial sparse parallel (GRASP) reconstruction to extract a 3D‐Img‐SG signal, whereas DC‐SG was extracted from the center of k‐space. Both signals were sorted into 10 respiratory bins. Signal‐to‐noise ratio (SNR) and normalized signal intensity (NSI) in lung parenchyma, image sharpness, and lung volume changes were studied in the resulting images to show feasibility of the method. An algorithm for bulk movement identification and removal was implemented. Results Three‐dimensional Img‐SG allows reconstruction of different respiratory stages in all acquired datasets, showing clear differences in diaphragm position and significantly different lung volumes, SNR, and NSI in lung parenchyma. Improved sharpness in expiration images was observed compared to ungated images. DC‐SG did not result in clear different diaphragm position in all cases. Bulk motion removal improved final image sharpness. Conclusion Low‐resolution 3D GRASP reconstruction allowed for extraction of an effective gating signal for 3D‐Img‐SG. The DC‐SG method did not work in cases for which respiratory frequencies were inconsistent. Magn Reson Med 78:739–745, 2017. © 2016 International Society for Magnetic Resonance in Medicine