Marc Johannes
EN292 Lab#3
Medical Imaging
Magnetic Resonance
February 15, 2001
Also available at http://www.lems.brown.edu/~msj/cs292/assign2/mr.html
 
 

Magnetic Resonance Imaging
 

Part I


After the technique of MR imaging has been refined, the process by which images are generated is controlled by a set of parameters that allow certain materials and tissues to be tickled into contrast.  The parameters are {TR,TE,TI},  the RF repeat, the Echo repeat, and the Inversion recovery times, respectively.  The set of parameters plays off two essential intrinisic characteristics of mediums in order to differentiate them. The characteristics  {T1,T2} are simply time parameters indicating quantum mechancial relaxation times specific to certain materials; spin-lattice relaxation and spin-spin relaxation, respectively.  A third characteristic is the proton density of a material.  The strength of an MR signal is proportional to this number.

T1 Weighted:   Utilizes the difference between the spin-lattice relaxation times of two materials by pinning the 90 degree RF repeat signal to a time interval (TR) that facilitates signal detection when the difference between the two T1 relaxation curves is maximal.

T2 Weighted:  Utilizes the difference between the spin-lattice relaxation times of two materials by pinning the 180 degree RF echo signal to a time interval (TE) that facilitates signal detection when the difference between the two T2 relaxation curves is maximal.

Proton Density:  Utilizes the difference in proton densities of two materials when T1 and T2 characteristics are similar.  By suppressing the signal effects of T1 and T2 (dis)similarities, signal strength disparities are isolated to proton density differences.
 

The table below shows MRI images of the brain and the abdomen using each of the three weighting techniques to optimally contrast a tumor from surrounding tissue.
 


Weighted MRI Table

Brain MRI Abdomen MRI
T1 Weighted
T2 Weighted
Proton Density Weighted
Table 1

The scope of MR imaging is wide, from tissue/tissue differentiation to tissue/tumor differentiation.  The case for this experiment is the differentiation of a tumor from surrounding tissue.  In this example it is assumed that it is not known where the tumor is, but its characteristics are known.  Typically, tumors have a known range of anamylous charactertics.  The idea is to maximize the constrast between the tumor and all other surrounding tissue.  The table below gives the characteristic of the materials and the tumor used in all experiments.
 


Tissue
Proton Density
T1
T2
CSF
1.0
2400
500
Gray Matter
.85
920
100
White Matter
.70
780
90
Adipose Head
1.23
260
85
Adipose Abdomen
1.54
260
85
Spleen
1.15
780
62
Kidney
.99
650
58
Liver
1.0
490
43
Tumor
1.0
500
100

Protocols:

T1 Weighting:
Brain (TR=912ms,TE=24ms)
Abdomen (TR=900, TE=24ms)

In order to differentiate the tumor by weighting T1 effects, the relaxation curves of all the tissues must have a distinguishable difference from the tumor for some appropriate TR.  Thus a TR was chosen such that all tissues showed a maximal or near maximal difference from the tumor relaxation time.  This was done by letting TR vary from 50ms to 3000ms and plotting the spin-lattice relaxation times for each tissue and eyeballing a solution that meets the prescribed conditions.  The chosen TR pinpoints a periodic time when all relaxation curves are distinguisble.  Note that TE was chosen very small as to suppress T2 characteristics, but long enough to insure proper signal recovery.  The results can be seen in Table 1.
 

T2 Weighting:
Brain (TR=2000ms,TE=15ms)
Abdomen (TR=2000ms,TE=61ms)

A similar approach was taken here by letting TE vary from 10ms to 120ms and finding appropriate times where all relaxation curves were a distinguishable distance away from the tumor.  TR was chosen such that differences were minimized, i.e., spin-relaxation curves have all mostly decayed.  The results can be seen in Table 1.

Proton Density:

In order for this weighting scheme to be valid, there must be an appreciable difference in the proton densities of the tissues and of the tumor.  To illustrate this phenomenon I changed the proton density of the tumor to 3.0 to accentuate the differentiation capabilities of this weighting protocol.  The results can be seen in Table 1.

Part II


Brain MRI
Abdomen MRI
TI Weighted Optimal
TI Weighted Enhanced

The inverse recovery protocol is a method used by which spin-lattice relaxation curves are manipulated by pulsing a 180 degree RF field to effectively reverse the decay.  When the proper ratio is pinpointed it has the effect of suppressing the signal of tissues with a particular T1 charactersitic.  Thus in the case of broad differentiation of different materials, this technique is not very efficacious, unless it is of interest to suppress the signal of the tumor.  In this scope it doesn't give particularly meaningful information.


Part III

White Matter

vs.

Grey Matter

White Matter

vs.

CSF

Protocol T1 Weighted
TR=850,TE=24ms
Traps the maximum distance between spin-lattice relaxation decays.
T2 Weighted
TR=2000ms,TE=90ms
This protocol exploits the huge difference in T2 times, allowing the white matter to decay while still detecting spin-spin relaxation signal from the CSF.
Liver

vs.

Kidney

Liver

vs.

Spleen

Protocol T2 Weighted
TR=2000ms,TE=40
Exploits the slight difference in T2 times by letting T2 for the liver nearly decay while leaving enough spin-spin relaxation signal from the kidney present
T2 Weighted
TR=2000ms,TE=40
Exploits the slight difference in T2 times by letting T2 for the liver nearly decay while leaving enough spin-spin relaxation signal from the spleen present.

 
 

Playing around with TI protocol.  Shows that this can be manipulated to further excentuate contrast.


 
White Matter

vs.

Gray Matter

Liver

vs.

Kidney

Protocal Inverse Recovery
TI=150
TR=490
Effectively matches liver T1
Liver

vs.

Spleen

Inverse Recovery
TI=150
TR=490
Effectively matches liver T1