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MRI: A historical perspective

Apr 16, 2017

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Page 1: MRI: A historical perspective
Page 2: MRI: A historical perspective

¡ Magne&cResonanceImaging§  Past§  Present§  Glimpseofthefuture

Page 3: MRI: A historical perspective

¡  JohnBap&steFourier§  OfficerinNapoleon'sarmy

§  Mathema&csforthermodynamics

§  InventedtheFourierTransformwhichliesatthecoreofMRItoday

[1]TalGevaJCMR2006

Page 4: MRI: A historical perspective

¡  NikolaTesla§  Serbian§  InventorofAC§  Teslacoil§  Sta&onaryterrestrialwaves

§  Unitofmagne&cfieldstrengthnamedaQerhim

[1]TalGevaJCMR2006

Page 5: MRI: A historical perspective

¡  Independentlydiscoveredthenuclearmagne&cresonanceeffect

¡  AwardedNobelPrizein1952fortheirdiscoveries[1]TalGevaJCMR2006

Page 6: MRI: A historical perspective

Vivekananda

Memorial

Kargil1999

Page 7: MRI: A historical perspective

§  1971:RaymondDamadian–relaxa&on&mesfortumorsinratmodelsofcancer

§  1973:AbeZenuemonandothers,filepatentforthefirsttargetedNMRforevalua&onofinforma&oninsidefromoutside

§  1974:Magne&cResonanceImagingisbornbytheuseofgradients,thankstoPaulLauterburandPeterMansfield

§  1975:RichardErnst(AnilKumaret.al)describedtheuseofFTforMRI

[1]TalGevaJCMR2006

Page 8: MRI: A historical perspective

[2]hfp://www.cis.rit.edu/htbooks/mri/

Page 9: MRI: A historical perspective

§  1980:Average&metomakeanMRimageis5minutes

§  1985:Average&metomakeanMRimageis5seconds

§  1983:T2weightedimagingbeferforhighligh&ngpathology

§  1984-85:CardiacMRI,bloodflow,CE-MRI,Steadystatefreeprecession

Researchlabstoclinicalprac&ce

[1]TalGevaJCMR2006[3]hfp://www.fonar.com/&melineofmri.htm

Page 10: MRI: A historical perspective

¡  1988:EchoPlanarImagerforpediatrics,LarryCrooksatUCSF

¡  1987:Mul&pleRFcoilsusedforMRI

¡  1987–90:ParallelimagingisbornthankstoCarlson

Page 11: MRI: A historical perspective

• Gooddataqualitybuttakesalong&me!• Hence,maynotbesuitableforcertainimagingprotocols.• Limitsspa&alandtemporalresolu&ons• Higherspa&alresolu&onaidsinmorphologicalanalysisoftumors–breastDCE-MRI• Temporalresolu&onisimportantforaccuratepharmacokine&canalysis.• Severalapproacheslikekeyhole,parallelimagingandotherfastsequenceshavebeenused.2D FFT

2D IFFT

50

100

150

200

X

1 0 DataprovidedbyBaek

Page 12: MRI: A historical perspective

[4]Larkmanet.alPMBS2007

Page 13: MRI: A historical perspective

¡  2008:CompressedsensingisappliedtoMRI

¡  2012:KeynotespeechesatISMRMoncompressedsensing

¡  CSappliedtoMRSI,DCE-MRI,cardiacimaging,brainimaging,almosteveryknownMRmethod

Page 14: MRI: A historical perspective

X2D IFFT

10

20

30

40

50

60

70

10

20

30

40

50

60

70

UniformSampling

X2D IFFT

20

40

60

80

100

120

20

40

60

80

100

120

IncoherentSampling

Page 15: MRI: A historical perspective

Completedatareconstruc0on

Wavelet

Transform

DataprovidedbyBaek

[1]DavidL.Donoho,IEEETransac0onsonInforma0ontheory,Vol.52,no.4,April2006[2]Candes,E.J.etal.,IEEETransac0onsonInforma0ontheory,Vol.52,no.2,Feb.2006

• Mostobjectsinnatureareapproximatelysparseinatransformeddomain.• U&lizeaboveconcepttoobtainveryfewmeasurementsandyetreconstructwithhighfidelity [5,6]

Only33%ofcompletedataX

Page 16: MRI: A historical perspective

¡  CoilsinIndia

¡  Combina&onofparallelimagingandcompressedsensing

¡  ParalleltransmitMRI

[7] Andrew Thomas et. al.,2007 International Journal of Biomedical Imaging

Page 17: MRI: A historical perspective

MRVOLUMECOILSfor

0.5Tesla

BIRDCAGE1:2ra&o,8rung

VOLUMEcoil1:2ra&o

BIRDCAGE1:1ra&o,4rung

BIRDCAGE-1:2ra&o,4rung

Page 18: MRI: A historical perspective

§  Tohaveminimumaliasing due to sampling below theNyquist rate, thefollowingproper&esofideasamplinghavetobemet.§  Thenear zero regionaround themain lobeof thePSF shouldbeas largeas

possibleandoutsidethatregion,PSFshouldresemblewhitenoise.

§  The samples should be placed randomly but with a restricted maximum

distancebetweensamples.

§  These two condi&ons are met by Poisson disc sampling but it hasimprac&calgradientrequirements.

§  Constrained random pafern is a normal lasce pafern with samplesshiQed along one dimension randomly by -1, 0 and +1 i.e. constrainedrandomiza&onaddedalongonedirec&on.

§  Ithasmoderategradientrequirements.

Page 19: MRI: A historical perspective

§  Performance of compressed sensing (CS) algorithms depends onthesparsity levelof thesignal, thetypeofsamplingpafernusedandthereconstruc&onmethodapplied.

§  The higher the incoherence of the sampling pafern used forundersampling, less aliasing is no&ced resul&ng in befer CSreconstruc&on.

§  ThetheoryofCSrequiresacquisi&onofrandomizedsetofmeasurements(randomsampling),leadingtoincoherantaliasingar&facts.

§  ButrandomsamplingrequiresbiggerchangesinamplitudesandpolarityofMRsystemgradients,whichisnotfeasibleinMRsystem.

Page 20: MRI: A historical perspective

Three candidate sampling patterns and their corresponding PSFs: top to bottom: random, Poisson disc and constrained random

Usman et. al., Sampta 2009

Page 21: MRI: A historical perspective

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¡  Joint k-space trajectory allows for the specification of a region of interest(ROI), which improves excitation accuracy at high speedup factors

¡  It allows for magnetic field inhomogenetiy compensation during excitation k-space

¡  Optimized accelerated selective excitation is useful for reducing specific absorption rate(SAR) and shortening multidimensional RF pluses

Page 22: MRI: A historical perspective

¡  Normal transmission §  In a normal transmission, the data/signals are sent one at a time

over the transmission channel

¡  Parallel transmission §  Parallel transmission means simultaneous transmission

of N signals. These signals are sent simultaneously over N different channels

Radartutorial.eu

Page 23: MRI: A historical perspective

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Reconstruc&onofimage

Pulse sequence to generate k-space

1.  Target organ 2.  K-space trajectory focus on

heart and use spiral

2D-IFT

Pa&ent

Spiral k-space trajectory

Page 24: MRI: A historical perspective

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SAR §  Specific absorption rate (SAR) is a measure of the rate at

which energy is absorbed by the body when exposed to a radio frequency (RF) electromagnetic field

§  It is defined as the power absorbed per mass of tissue and has units of watts per kilogram(W/kg)

¡  SAR can be calculated from the electric field within the tissue as:

where ¡  σ is the sample electrical conductivity ¡  E is the RMS electric field ¡  ρ is the sample density

( ) ( )( )

drrrEr

SARsample∫=

2

2ρσ

Page 25: MRI: A historical perspective

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¡  Errors and SAR will be increasing, we need to decrease them ¡  So we have a formula as

C= є + λ (SAR) …2 Here C= cost, є= excitation error, λ = Lagrange multiplier ¡  As λ increases SAR reduces to some extent then remains constant and

error also remain constant L-curve

L-curve Subset virtual observation points for RF

Page 26: MRI: A historical perspective

¡  Facultyandmanagement§  Prof.A.N.N.Murthy,Principal,DSCE§  Dr.PremchandraSagar,CEO,DSCE

¡  Students§  PadmaC.R.(coils)§  SnehaPotdar(Paralleltransmitbackground)

¡ MIRCfacultyandstudents,collaboratorsandindustrialpartners

Page 27: MRI: A historical perspective
Page 28: MRI: A historical perspective

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¡  The image of the target organ in which we are interested is taken using 2D-FT

¡  The scanned image obtained by parallel transmit from MRI is called as k-space, obtained k-space undergoes sampling at ROI

¡  Then 2D-IFT is done to achieve a desired excitation pattern

Echo-Planar Imaging (EPI) k-space raster. Brazilian journal of physics