nmr imaging mikael jensen associate professor dept. mathematics and physics royal veterinary and...

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NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

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Page 1: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

NMR imaging

Mikael JensenAssociate professor

Dept. Mathematics and Physics

Royal Veterinary and Agricultural University

April 2002

Page 2: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

• Non-destructive • Dynamic• In-vivo

• or

• Destructive• Static• Once in a lifetime

Why imaging

Page 3: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Medical use

Page 4: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

•Røntgen

•Ultralyd

•Termografi

Veterinary use

Page 5: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Penetrating radiation

• X-rays (20-200 keV)• Gamma (80-511 keV)• Radiofreqency 63

MHz• Light(near infra-red)• Ultrasound

Page 6: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

X-ray

• Show differences in electron density

• Small inherent contrast in soft tissue

• Many photons means good S/N ratio

• Good geometric resolution

• Planar ( projections )

• Can be used for tomography ( CT-scan)

• Uses ionizing radiation

Page 7: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Radio-isotopes (gamma radiation)

• Function more than anatomy

• Totally dependent on nature of tracer

• Few photons, high contrast

• Poor gometric resolution

• Uses ionizing radiation

Page 8: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Ultrasound

• Shows differences in sound velocity and density*

• Tissue borderlines

• Air-filled cavities creates shadows

• Real-time

• Cheap and safe

• Interactive* Egentlig: Forskel i akustisk impedans !

Page 9: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

NMR – imaging (MRI)

• No ionising radiation

• Large inherent contrast in soft tissue

• Can demonstrate both anatomy and function

• Good geometrical resolution

• Expensive

• Restricted acces to patient during exam

Page 10: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Very good web introduction to MRI

http://www.cis.rit.edu/htbooks/mri/inside.htm

Go and read it !

Page 11: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

NMR imagingFrequency= γ B

For protons γ= 42 MHz / Tesla

Wawelength at 1 Tesla ?Wawelength = c/f = 7 meter !

?

Page 12: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

x

y

Bo

External magnetic field necessary for NMR

z

By convention we choose z axis along Bo

N

S

Page 13: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

We need nuclei with magnetic moment for NMR

Could be Hydrogen in water (protons)

Nuclei 

Unpaired Protons 

Unpaired Neutrons 

Net Spin 

(MHz/T) 

1H 1  0  1/2  42.58 

2H 1  1  1  6.54 

31P 0  1  1/2  17.25 

23Na 0 1  3/2  11.27 

14N 1  1  1  3.08 

13C 0  1  1/2  10.71 

19F  0  1  1/2  40.08 

Page 14: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Larmor condition

When the energy of the photon matches the energy difference between the two spin states an absorption of energy occurs.  In the NMR experiment, the frequency of the photon is in the radio frequency (RF) range. In NMR spectroscopy,  is between 60 and 800 MHz for hydrogen nuclei. In clinical MRI,  is typically between 15 and 80 MHz for hydrogen imaging.

E = h  B  E = h  f

f = B (Larmor condition)

(proton)= 42 MHz/ Tesla

Page 15: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Boltzman StatisticsAt room temperature, the number of spins in the lower energy level, N+, slightly outnumbers the number in the upper level, N-. Boltzmann statistics tells us that

N-/N+ = e-E/kT.

E is the energy difference between the spin states; k is Boltzmann's constant, 1.3805x10-23 J/Kelvin; and T is the temperature in Kelvin.

1.000.000 1.000.001

Page 16: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

The time constant which describes how MZ returns to its

equilibrium value is called the spin lattice relaxation time (T1).

The equation governing this behavior as a function of the time t after its displacement is:

Mz = Mo ( 1 - e-t/T1 ) 

T1 relaxation

Page 17: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

T2 relaksation

The time constant which describes the return to equilibrium of the transverse magnetization, MXY, is called the spin-spin

relaxation time, T2.

MXY =MXYo e-t/T2

Page 18: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Bloch equations

Page 19: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Free induction decay (“FID”)

90o

Short RF pulse at Larmor frequency

Detected RF signal from nuclei

Page 20: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Fourier transform af FID

tid

frekvens(sted)

F

F-1

Page 21: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

NMR in organic chemistry

CH3CH2OHAlso known asEthanol

Frequency alias ”chemical shift”

1951

1991

Page 22: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

MRI imaging is ”broadband”

•In chemical NMR typical resolution (linewidth) is 0.1 ppm•Chemical shifts are of the order of 1- 10 ppm

•In imaging we have inhogeneous magnetic fields•In imaging we use frequncy to encode spatial position•Typical space coding 100 Hz/mm or 500 ppm/mm

f f

Page 23: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Pulsewidth and flipangle

pw 2pw 3pw

90o 180o 270o

Page 24: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Spin echo

90o 180o

TE/2 TE/2

Page 25: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Gradient in magnetic field

B = Bo + Gx x

Bo = 1,5 T

Gx = 25 mT /cm

Frequency coding df/dx = Gx γ =1 kHz /cm = 100 Hz/mm

Gradient

FFT

time f

Page 26: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Imaging of one slice

Gzz

x

y

Page 27: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Slice selected echo

90o

180o

Gz

Only signal from slice

Normally chosen as z-direction

Page 28: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Read-out gradient90o

180o

Gz

Gx

Page 29: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Phase encoding gradient90o

180o

Gz

Gx

Gy

Page 30: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Repeat this, and you got the image

n repetitions

2D FFT

n

m data points

m

Page 31: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Another way to do imagingSelect one slice ! Do many experiments with different directions of readout gradient

Page 32: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Back projection

Page 33: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Filtered back projection

Radon transformation ( MRI, CT, PET, Spect ….)S.R. Deans, S. RoderickThe Radon Transform and Some of its Applications.Wilwy, New York1983

Page 34: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Slice selective MRI by back projection

Many values

Many values

Repeat formany angles

Page 35: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Multi slice imaging

Page 36: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Inversion recovery imaging

Page 37: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

MRI hardware

Page 38: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Magnet

0.015 – 0.3 Tesla Resistive0.5 – 3 Tesla Superconducting

B0

Page 39: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Gradients

Page 40: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Safety

•Static magnetic field•No metal objects•Shielding•B < 3 Tesla

•RF power deposition•Deposited power < 4 W / Kg•No hot spots•B < 3 Tesla (f < 130 MHz )

Page 41: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Images!

Page 42: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Lumbar spine MRINormal Prolaps Malignancy ?

Page 43: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Liver

                                                                                      

                                          

Arrows point to multiple lesions in the liver demonstrating metastases.

Page 44: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Tværsnit af rygmarv hos rotte

Page 45: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Hjernen af en stær (in vivo)

Page 46: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

Good image archives:

NORTHEAST WISCONSIN MRI CENTERMR IMAGES

http://www.newmri.com/humanbo2.htm

RADIOLOGIC ANATOMY BROWSER™

http://rad.usuhs.mil/rad/iong/homepage.html

Page 47: NMR imaging Mikael Jensen Associate professor Dept. Mathematics and Physics Royal Veterinary and Agricultural University April 2002

End of lecture

Bloch Purcell Lauterbur