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Introduc)on	to	k-space	trajectories
Agenda	
• 	Overview	of	MRI	system	
		
• 	Magne)c	fields:	the	three	fields	
• 	The	Fourier	transform	and	k-space:	Why	is	it	called	‘k’	space?	
• 	Understanding	‘k-space	trajectory’		
• Some	basic	k-space	trajectories	
• Problem	1:	Cartesian	trajectory	
• Problem	2:	Echo-planar	imaging	
• Problem	3:		Radial	trajectory	
• Problem	4:	Spiral	trajectory	
• Conclusions
Gradient	
coils	
Subject	
Radio	
frequency	
coil	
Magnet	
Overview	of	a	MRI	system	
Image	courtesy:	MRI	scanner	cutaway:	Colinmcnulty.com
y
x
z
Larmor Equation
Magne)sm:	Effect	of	the	B0	,	G.r	and	B1	fields
f	
t	
A
A
Discrete	Fourier	Transform
A	visual	representa)on	of	k-space
Top	view	of	k-space	
• Ideal	k-space	is	
Hermi)an	in	nature,	
discoun)ng	errors	from	
measurement	
• Used	in	acquisi)ons	like	
HASTE
Theory	
The	signal	acquired	is	the	Free	Induc)on	Decay	(FID)	from	all	the	spins	of	the	par)cular	slice	
The	Larmor	frequency	is	given	by
Jargon	for	engineers	J
Front	view	 Top	view	
An	analogy	for	k-space	trajectory	
Consider	a	hill
20 40 60 80 100 120
50
100
150
200
250
Few	k-space	trajectories	trajectories		
y
x
Example	problem	1:		
Design	Cartesian	k-space	trajectory	
Given	parameters:	

∆x = 1 mm 
 

∆y = 1 mm 
 

Lx = 25.6 cm 
 

L y = 25.6 cm
Evaluate	the	unknowns	:	
Variable	 Value	
Nx	
Ny	
256

256
3.9 m-1
3.9 m-1	
[-500, 500] m-1

[-500, 500] m-1
kx	
ky	
RF
Pulse
Gz
Gy
Gx
Timing	Diagram	Depic)ng	Cartesian	Sampling	
Gx
Gy
Gz
RF
Pulse
Reconstruc)on	&	ar)facts
Example	problem	2:		
Design	EPI	k-space	trajectory	
Given	parameters:	

∆x = 1 mm 
 

∆y = 1 mm 
 

L = 25.6 cm
tesp = 1 ms
N = 15 

SR = 50 Tm-1/s 

Evaluate	the	unknowns	:	
Variable	 Value	
Nx	
Ny	
Gy
Aphase
256

256
3.9 m-1
3.9 m-1	
[-500, 500] m-1

[-500, 500] m-1
	
0.117 mT/m
1.81 mT . ms/m
kx	
ky	
RF
Pulse
Gz
Gy
Gx
Timing	Diagram	Depic)ng	EPI	Sampling	
*	EPI	reconstruc)on	and	ar)facts	will	be	addressed	by	Dr.	Manoj	Saranathan,	Stanford	
University	
Gx
Gy
Gz
RF
Pulse
Example	problem	3:		
Design	Radial	k-space	trajectory	
Given	parameters:	

∆x = 1 mm 
 

∆y = 1 mm 
 

L = 25.6 cm
Evaluate	the	unknowns	:	
Variable	 Value	
Nx	
Ny	
Nphase
Leff
256

256
3.9 m-1
3.9 m-1	
[-500, 500] m-1
402
256
0.256 m-1
ky	
kx	
RF
Pulse
Gz
Gy
Gx
Timing	Diagram	Depic)ng	Radial	Sampling	
Gx
Gy
Gz
RF
Pulse
Reconstruc)on	&	ar)facts
Example	problem	4:		
Design	spiral	k-space	trajectory	
Evaluate	the	unknowns	:	
Variable	 Value	
Nx	
Ny	
256

256
3.9 m-1
3.9 m-1	
[-500, 500] m-1
ky	
kx	
RF
Pulse
Gz
Gy
Gx
Timing	Diagram	Depic)ng	Spiral	Sampling	
Gx
Gy
Gz
RF Pulse
Reconstruc)on	&	ar)facts
Comparison	of	Basic	k-space	Trajectories	
Cartesian	
• Uniform	FFT	
• Localized	ar9facts	
• Long	acquisi9on	
9me	
• Clinicians’	choice	
Spiral	
•  Efficient	coverage	
•  SNR	controlled	
•  Gradient	demands	
•  NUFFT/gridding	
	
Radial	
•  Variable	density	
coverage	
•  Mo9on	applica9ons	
•  NUFFT/gridding	
•  Outer	edges	have	
gaps	
	
EPI	
•  Rapid	acquisi9on	
•  Uniform	FFT	
•  B0	dependence	
•  Gradient	SR
Other	k-space	trajectories	
•  Rose_e	
•  Lissajou	
•  Stack	of	spirals	
•  Stack	of	radials	
•  Stars	
•  SPINS	
•  Kooshball		
•  Bayesian	cartesian	trajectories	(Mathias	Seeger	et	al.	2010,	MRM)
Acknowledgements	
• 		Mr.	Nutan	Dev	B	J,	B.E.,		
Graduate	Research	Assistant	
MIRC	
• 		Mr.	Pavan	Poojar,	M.Tech.,		
Research	Associate,	MIRC	
• 	Prof.	Jeffery	Fessler	and	group,	University	of	Michigan	Ann	Harbor,	for	the	
NUFFT	code	in	the	Image	reconstruc)on	toolbox			
• Medical	Imaging	Research	Centre:	students	and	faculty	
• 	Dayananda	Sagar	Ins)tu)ons

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Introduction to k-space trajectories