Terry M. Button, Ph.D. Principals of Magnetic Resonance Image Formation.

Slides:



Advertisements
Similar presentations
Fund BioImag : Echo formation and spatial encoding 1.What makes the magnetic resonance signal spatially dependent ? 2.How is the position of.
Advertisements

Fund BioImag : Echo formation and spatial encoding 1.What makes the magnetic resonance signal spatially dependent ? 2.How is the position of.
Principles of the MRI Signal Contrast Mechanisms MR Image Formation John VanMeter, Ph.D. Center for Functional and Molecular Imaging Georgetown University.
Magnetic Resonance Imaging
Imaging Sequences part I
MRI Phillip W Patton, Ph.D..
In Chan Song, Ph.D. Seoul National University Hospital
M R I Pulse Sequences Jerry Allison Ph.D..
BE 581 Lecture 3- Intro to MRI.
MR Sequences and Techniques
MR TRACKING METHODS Dr. Dan Gamliel, Dept. of Medical Physics,
Statistical Parametric Mapping
Fund BioImag : MRI contrast mechanisms 1.What is the mechanism of T 2 * weighted MRI ? BOLD fMRI 2.How are spin echoes generated ? 3.What are.
Parameters and Trade-offs
Topics spatial encoding - part 2. Slice Selection  z y x 0 imaging plane    z gradient.
Principles of MRI: Image Formation
Chapter 9 Basic MRI I Mark D. Herbst, MD, PhD. Notice This lecture contained many drawings on the whiteboard, so get these from one of the other students.
Magnetic Resonance Imaging Maurice Goldman Member Académie des sciences.
Basic Principles MRI related to Neuroimaging Xiaoping Hu Department of Biomedical Engineering Emory University/Georgia Tech
Chapter 10 Lecture Mark D. Herbst, M.D., Ph.D..
Encoding and Image Formation
Nuclear Magnetic Resonance (NMR) Magnetic Resonance Imaging (MRI)
Basics of Magnetic Resonance Imaging
FMRI: Biological Basis and Experiment Design Lecture 7: Gradients and k-space FFT examples –Sampling and aliasing Gradient Gradient echo K-space
FMRI: Biological Basis and Experiment Design Lecture 8: Pulse sequences, Take 2 Gradient echo review K-space review Slice selection K-space navigation.
Tissue Contrast intrinsic factors –relative quantity of protons tissue proton density –relaxation properties of tissues T1 & T2 relaxation secondary factors.
MRI Image Formation Karla Miller FMRIB Physics Group.
Medical Imaging Systems: MRI Image Formation
Magnetic Resonance Imaging 4
Principles of MRI Physics and Engineering
Imaging Sequences part II
ELEG 479 Lecture #12 Magnetic Resonance (MR) Imaging
MRI Physics: Just the Basics
Textbook for the Statistical Parametric Mapping (SPM) class
2012 spring fMRI: theory & practice
Seminar October, 2008 j. brnjas-kraljević. Imaging (MRI)  tomography technique  tomography technique – the volume image is built up by images of thin.
Medical Imaging Systems: MRI Image Formation
Basics of MRI.
Basic Concept of MRI Chun Yuan. Magnetic Moment Magnetic dipole and magnetic moment Nuclei with an odd number of protons or neutrons have a net magnetic.
Basic of Magnetic Resonance Imaging Seong-Gi Kim Paul C. Lauterbur Chair in Imaging Research Professor of Radiology, Neurobiology and Bioengineering University.
Contrast Mechanism and Pulse Sequences Allen W. Song Brain Imaging and Analysis Center Duke University.
Quiz In a 2D spin warp or FT MR scan, aliasing should only occur
G Practical MRI 1 Gradients.
Contrast Mechanisms in MRI Introduction to Cardiovascular Engineering Michael Jay Schillaci, PhD Managing Director, Physicist Tuesday, September 16 th,
Allen W. Song, PhD Brain Imaging and Analysis Center Duke University MRI: Image Formation.
Contrast Mechanism and Pulse Sequences
Statistical Parametric Mapping
FMRI – Week 4 – Contrast Scott Huettel, Duke University MR Contrast FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director.
Lecture 3: The MR Signal Equation We have solved the Bloch equation and examined –Precession –T2 relaxation –T1 relaxation MR signal equation –Understand.
Anna Beaumont FRCR Part I Physics
MR Image Formation FMRI Graduate Course (NBIO 381, PSY 362)
MRI Physics: Spatial Encoding Anna Beaumont FRCR Part I Physics.
MRI: Contrast Mechanisms and Pulse Sequences
Magnetic Resonance Learning Objectives
Principles of MRI Physics and Engineering Allen W. Song Brain Imaging and Analysis Center Duke University.
Charged particle. Moving charge = current Associated magnetic field - B.
Principles of MRI Physics and Engineering Allen W. Song Brain Imaging and Analysis Center Duke University.
Lecture 1: Magnetic Resonance
Lecture 3: The Bloch Equations Solved & the MR Signal Equation Solve the Bloch equation –Precession –T2 relaxation –T1 relaxation MR signal equation –Understand.
Chapter 5 Mark D. Herbst, M.D., Ph.D.. The MR Imaging Process Two major functions –Acquisition of RF signals –Reconstruction of images.
10 spring fMRI: theory & practice
FMRI data acquisition.
MRI Physics in a Nutshell Christian Schwarzbauer
بسم الله الرحمن الرحيم.
Where Mt is the magnetization at time = t, the time after the 90o pulse, Mmax is the maximum magnetization at full recovery. At a time = one T1, the signal.
2D FT Review MP/BME 574.
Magnetic Resonance Imaging: Physical Principles
Assume object does not vary in y
MRI Pulse Sequences: IR, EPI, PC, 2D and 3D
Basic MRI I Mark D. Herbst, MD, PhD
Presentation transcript:

Terry M. Button, Ph.D. Principals of Magnetic Resonance Image Formation

General Signal Localization Region of interest is excited with f L. Magnetic field is modified in a planned way using gradients. Emitted frequency is now dependent on location. Signal vs. time is collected, FT provides signal vs. f which is also signal vs. location!

2D FT Initial approach will be descriptive and non- mathematical. The second approach will be semi- mathematical.

Overview of 2D FT Slice selection Phase encoding Frequency encoding

Slice selection Apply a gradient along z Excite with RF which covers  ( B o -  ) to  ( B o +  ) Bo+Bo+ Bo+Bo+ Z

RF profile I

Slice Thickness is Determined by Bandwidth and Gradient Strength x B f l = (B o -  )  f h = (B o +  )  x2x2 t T

Slice Selection Excite bandwidth (kHz) is usually fixed and gradient strength used to change slice thickness. Slice orientation is controlled using the gradients; oblique is one gradient tilted by a second gradient. Slice position is moved by changing reference frequency.

Frequency Encode Frequency encoding is accomplished during signal acquisition (read) by application of a gradient. B o -  BoBo B o +  f l = (B o -  )  f o = B o  f h = (B o +  ) 

Frequency Encoding Gradient Provides a Simple Projection BoBo S t I f FFT

Sample Collection Signal is sampled N times (128, 256, 512, 1024) Sample collection time is  t (1-100  sec) –SNR   t Total collection time T = N  t –T< TE Bandwidth = 1/  t –  t = 50  sec, BW = 20 kHz S t

FOV Field of view (FOV) is controlled by: –Gradient strength –Bandwidth From the last slide; BW = 20 kHz –Nyquist criteria; max freq 10 kHz –If the read gradient is 1mT/m then the FOV is: 42 MHz/T x 0.001T/m = 42 kHz/m –The FOV is: (10 kHz)/(42 kHz/m) = 24 cm

Phase Encode Phase encoding is accomplished by applying a gradient for a time . B o -  BoBo B o +  t = 0 t = 

Slice Image formation Frequency encode Phase encode fn,nfn,n f1,1f1,1

Must Satisfy Nyquist Sampling: Phase Encode Suppose a 60 o phase difference at each voxel: –60 o,120 o,180 o, 240 o, 300 o, 360 o, 60 o –Phase encode is not unique; must repeat with incremented phase encoding gradient strength.

Basic Spin Echo N  phase encodes

Image Acquisition Time Suppose TE = 20 msec, TR = 500 msec, N  = 256 and only one average is required. T = TR x N  x Avg T = 0.5 sec x 256 x 1 = 128 sec = 2 min 8 sec This is the time to make one slice!!

Multi-slice In the previous example, collected data for slice in 20 msec but had to wait 480 msec before re- excite. Acquire additional slices during this time. Max slices = TR/(TE+  ). 480 ms 20 ms

Image Reconstruction After demodulation, the frequency for any column along the frequency encoded axis is: f(x) =  G x x And the phase along any row in the phase encoded axis is:  (y) =  G y y  The sinusoidal signal detected from any element is: S(x,y) = M (x,y) e [2  i (f(x)+  (y))] t

Image Reconstruction The total signal collected as a function of time is then: S(t 1, t 2 ) =   M (x,y) e 2  i [f(x)t1+  (y) t2] dx dy Substituting: S(t 1, t 2 ) =   M (x,y) e 2  i [  Gx x t1+  Gy y t2] dx dy Let: k x =  G x t 1 k y =  G y t 2 Substituting: S(k 1, k 2 ) =   M (x,y) e 2  i [kx x+ ky y] dx dy Recognized as a 2D FT! Therefore: M(x,y) = s( k x, k y ) =   S(k x, k y ) e -2  i [kx x+ ky y] dk x dk y

Importance of k-space FT S(k x,k y ) s(x,y) = M (x,y) FT

Filling k-space Frequency encode Phase encode N  phase encodes

k-space Contribution to Image Properties Center of k-space controls contrast Periphery of k-space controls resolution

k-space Contribution to Image Properties Center - contrast Periphery - resolution

k-space Applications Conjugate symmetry –Acquire only half of k-space and employ symmetry. –Cuts acquisition time in half. –Reduces SNR by 40%. Centric ordering –Acquire center of k-space as contrast arrives to ensure maximum contrast enhancement.

Spin Echo Contrast SE image contrast can be weighted to provide T 1, T 2 and   dependence Weighting is adjusted by modifying TE and TR.

Spin Echo T 1 Weighting Long T 1 Short T 1 t t For T 1 weighting short* TR is required. Low signal High signal

T1 Contrast TR MzMz short T 1 long T 1

Spin Echo T 2 Weighting Long T 1 Short T 1 For T 2 weighting long* TE is required. High signal Low signal

T2 Contrast TE MzMz short T 2 long T 2

Spin Echo Contrast T 1 - short TR and short TE –TR = 500 ms, TE = 10 ms T 2 - long TR and long TE –TR = 2500 ms, TE = 100 ms Proton density (  H ) – not T 1 or T 2 –longTR and short TE –TR = 2500 ms, TE = 10 ms Long TR and long TR are never used –T 1 and T 2 contrast conflicts

Proton

T1

T2

T1 Proton T2

Introduction to Contrast Agents

Magnetic Properties of Materials Weakly repel: water and tissue Weakly attract: Gd T 1 and T 2 Reducing agents Interact strongly: Fe susceptibility agents (T 2 *).

Contrast Agents Contrast agents can function by altering: –T1 – Paramagnetic agents –T2 – Paramagnetic and Susceptibility agents –T2* – Susceptibility agents –proton density – hormones and diuretics

Paramagnetic Molecular tumbling results in reduced T1 and T2. –Shorten T2 => reduced signal –Shorten T1 => increased signal Gd chelate –Used as an enhancing agent (T1 weighted sequence).

Gd Enhanced Brain Malignancy

Superparamagnetic Susceptibility agents –Cause local field inhomogeneity and very short T 2 *. –Used to remove signal on T 2 or T 2 * weighted images.

Negative Contrast From Iron Oxide

Factors controlling SNR Basic factors –Field strength –Coil tune and match –Magnet shim Setup factors: –Coil selection (Filling factor) –Sequence selection (longer TR/shorten TE) Sequence variables: –Voxel volume –Averages –Bandwidth –Gap