Respiratory self-gated 3D UTE for lung imaging in small animal MRI

Standard

Respiratory self-gated 3D UTE for lung imaging in small animal MRI. / Tibiletti, Marta; Bianchi, Andrea; Kjørstad, Åsmund; Wundrak, Stefan; Stiller, Detlef; Rasche, Volker.

in: MAGN RESON MED, Jahrgang 78, Nr. 2, 10.2017, S. 739-745.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Tibiletti, M, Bianchi, A, Kjørstad, Å, Wundrak, S, Stiller, D & Rasche, V 2017, 'Respiratory self-gated 3D UTE for lung imaging in small animal MRI', MAGN RESON MED, Jg. 78, Nr. 2, S. 739-745. https://doi.org/10.1002/mrm.26463

APA

Tibiletti, M., Bianchi, A., Kjørstad, Å., Wundrak, S., Stiller, D., & Rasche, V. (2017). Respiratory self-gated 3D UTE for lung imaging in small animal MRI. MAGN RESON MED, 78(2), 739-745. https://doi.org/10.1002/mrm.26463

Vancouver

Tibiletti M, Bianchi A, Kjørstad Å, Wundrak S, Stiller D, Rasche V. Respiratory self-gated 3D UTE for lung imaging in small animal MRI. MAGN RESON MED. 2017 Okt;78(2):739-745. https://doi.org/10.1002/mrm.26463

Bibtex

@article{20d936a87f22440a82035f8455fccd65,
title = "Respiratory self-gated 3D UTE for lung imaging in small animal MRI",
abstract = "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, 2016. {\textcopyright} 2016 International Society for Magnetic Resonance in Medicine.",
author = "Marta Tibiletti and Andrea Bianchi and {\AA}smund Kj{\o}rstad and Stefan Wundrak and Detlef Stiller and Volker Rasche",
note = "{\textcopyright} 2016 International Society for Magnetic Resonance in Medicine.",
year = "2017",
month = oct,
doi = "10.1002/mrm.26463",
language = "English",
volume = "78",
pages = "739--745",
journal = "MAGN RESON MED",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Respiratory self-gated 3D UTE for lung imaging in small animal MRI

AU - Tibiletti, Marta

AU - Bianchi, Andrea

AU - Kjørstad, Åsmund

AU - Wundrak, Stefan

AU - Stiller, Detlef

AU - Rasche, Volker

N1 - © 2016 International Society for Magnetic Resonance in Medicine.

PY - 2017/10

Y1 - 2017/10

N2 - 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, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

AB - 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, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

U2 - 10.1002/mrm.26463

DO - 10.1002/mrm.26463

M3 - SCORING: Journal article

C2 - 27663453

VL - 78

SP - 739

EP - 745

JO - MAGN RESON MED

JF - MAGN RESON MED

SN - 0740-3194

IS - 2

ER -