A Spatial Off-Resonance Correction in Spirals for Magnetic Resonance Fingerprinting

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dc.contributor.authorCoronado, Ronal
dc.contributor.authorCruz, Gastao
dc.contributor.authorCastillo Passi, Carlos
dc.contributor.authorTejos, Cristian
dc.contributor.authorUribe, Sergio
dc.contributor.authorPrieto, Claudia
dc.contributor.authorIrarrazaval, Pablo
dc.date.accessioned2024-01-10T12:37:02Z
dc.date.available2024-01-10T12:37:02Z
dc.date.issued2021
dc.description.abstractIn MR Fingerprinting (MRF), balanced Steady-State Free Precession (bSSFP) has advantages over unbalanced SSFP because it retains the spin history achieving a higher signal-to-noise ratio (SNR) and scan efficiency. However, bSSFP-MRF is not frequently used because it is sensitive to off-resonance, producing artifacts and blurring, and affecting the parametric map quality. Here we propose a novel Spatial Off-resonance Correction (SOC) approach for reducing these artifacts in bSSFP-MRF with spiral trajectories. SOC-MRF uses each pixel's Point Spread Function to create system matrices that encode both off-resonance and gridding effects. We iteratively compute the inverse of these matrices to reduce the artifacts. We evaluated the proposed method using brain simulations and actual MRF acquisitions of a standardized T1/T2 phantom and five healthy subjects. The results show that the off-resonance distortions in T1/T2 maps were considerably reduced using SOC-MRF. For T2, the Normalized Root Mean Square Error (NRMSE) was reduced from 17.3 to 8.3% (simulations) and from 35.1 to 14.9% (phantom). For T1, the NRMS was reduced from 14.7 to 7.7% (simulations) and from 17.7 to 6.7% (phantom). For in-vivo, the mean and standard deviation in different ROI in white and gray matter were significantly improved. For example, SOC-MRF estimated an average T2 for white matter of 77ms (the ground truth was 74ms) versus 50 ms of MRF. For the same example the standard deviation was reduced from 18 ms to 6ms. The corrections achieved with the proposed SOC-MRF may expand the potential applications of bSSFP-MRF, taking advantage of its better SNR property.
dc.description.funderAgencia Nacional de Investigacion y Desarrollo(ANID) Millennium Science Initiative Program
dc.description.funderANID, Programa de Investigacion Asociativa (PIA)
dc.description.funderNational Fund for Scientific and Technological Development (FONDECYT)
dc.description.funderEngineering and Physical Sciences Research Council (EPSRC)
dc.description.funderANID
dc.fechaingreso.objetodigital2024-05-23
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1109/TMI.2021.3100293
dc.identifier.eissn1558-254X
dc.identifier.issn0278-0062
dc.identifier.pubmedidMEDLINE:34310296
dc.identifier.urihttps://doi.org/10.1109/TMI.2021.3100293
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76731
dc.identifier.wosidWOS:000724511900050
dc.information.autorucFacultad de Ingeniería; Prieto Vasquez, Claudia Del Carmen; S/I; 14195
dc.issue.numero12
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final3842
dc.pagina.inicio3832
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.revistaIEEE TRANSACTIONS ON MEDICAL IMAGING
dc.rightsacceso restringido
dc.subjectSpirals
dc.subjectImage reconstruction
dc.subjectDictionaries
dc.subjectMathematical model
dc.subjectFingerprint recognition
dc.subjectPhantoms
dc.subjectMagnetic resonance
dc.subjectOff-resonance effects
dc.subjectmagnetic resonance fingerprinting (MRF)
dc.subjectspatial off-resonance correction
dc.subjectbalanced steady state free precession (BSSFP) MRF
dc.subjectFAST FOURIER-TRANSFORMS
dc.subjectMULTIFREQUENCY INTERPOLATION
dc.subjectLOW-RANK
dc.subjectRECONSTRUCTION
dc.subjectALGORITHM
dc.subjectBRAIN
dc.subjectTIME
dc.subjectMRI
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleA Spatial Off-Resonance Correction in Spirals for Magnetic Resonance Fingerprinting
dc.typeartículo
dc.volumen40
sipa.codpersvinculados14195
sipa.indexWOS
sipa.trazabilidadCarga SIPA;09-01-2024
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