#457 sweep imaging with fourier transform (swift) in breast cancer curtis a. corum, andrew babcock,...
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#457Sweep Imaging with Fourier Transform
(SWIFT) in Breast Cancer
Curtis A. Corum, Andrew Babcock, Djaudat Idiyatullin,Angela L. Styczynski-Snyder, Diane Hutter,
Lenore Everson, Michael Nelson, and Michael Garwood
University of Minnesota, Minneapolis, MN, United States
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Declaration of Relevant Financial Interests or Relationships
Speaker Name: Curtis A. Corum
I have the following relevant financial interest or relationship to disclose with regard to the subject matter of this presentation:
Dr. Corum is entitled to sales royalties under an agreement between the University of Minnesota and GE Healthcare, which is developing products related to the research described in this paper. The University of Minnesota also has a royalty interest in GE Healthcare. These relationships have been reviewed and managed by the University of Minnesota in accordance with its Conflict of Interest policies.
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Breast MRI
While many MRI sequence types are sometimes indicated in Breast MRI the two main image sets usually desired are:
High spatial resolution pre and post-contrast T1 weighted images (and
subtractions) for morphological assessment (circumscribed vs spiculated, homogeneous vs heterogeneus enhancing, etc.)
High temporal resolution dynamic contrast enhanced (DCE) T1
weighted image series with at least 1 min temporal resolution for contrast kinetics (uptake vs washout)
Emerging standard of care utilizes semi and fully-quantitative pharmacokinetic modelling, with active research in improving models
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SWIFT
SWeep Imgaing with Fourier Transform
Simultaneous interleaved excitation and acquisition
3D Radial Sampling (Halton sequence)
PD or T1 weighted
Smooth Gradient Update (Quiet) robust against motion, eddy currents, and system timing
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SWIFT
SWeep Imgaing with Fourier Transform
Simultaneous interleaved excitation and acquisition
3D Radial Sampling (Halton sequence)
PD or T1 weighted
Smooth Gradient Update (Quiet) robust against motion, eddy currents, and system timing
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SWIFT Timing
SWIFT has extremely short dead timeOn the order of 2-6 μs
Sensitive to fast relaxing spinsPreserves signal from off resonant spins
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4 T SWIFT Breast Coils
SWIFT compatible Dual Breast Coil4 ch Transmit/Receive, 4 T
UMN Physics Machine Shop, Peter NessCMRR Gregor Adriany, Carl Snyder
Now in imaging testing
Modified Single Breast Coils2 ch Transmit/Receive, 4 T
CMRR Carl SnyderHelmut Merkle (now at NIH)
Currently in use
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Halton View Order
Pseudo Random 3d radial view-orderingSorted for smooth gradient transitionFull sphere coverage every 512 viewsDesigned for View Sharing and CS reconstruction
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Goals
Implement SWIFT based protocol for Breast MRI
SWIFT compatible (no short T2 background from polymers, fast switching and/or ring-down times) transcieve coil(s)
Demonstrate high temporal resolution SWIFT DCE imaging
Demonstrate high spatial resolution morphological pre and post contrast imaging from same scan data
Scan an initial cohort of patient volunteers
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SWIFT Protocol
2 min shimming, pre-scan, scout
20 sec SWIFT pre-scans, phase reference and gain
1-2 min SWIFT FOV check, FS
(2-4 min) (optional) Double Angle Method GRE B1 map
(2-4 min) (optional) SWIFT Variable Flip Angle T1 map
2-6 min SWIFT DCE FS, pre-contrast (MagnavistTM 0.1 mM/kg at 2 cc/s)
6 min SWIFT DCE FS post-contrast,
(optional) further SWIFT test scans
11.33 min Minimum total time
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4 T SWIFT ParametersTR 4.4 ms, 62 kHz, 4.1 ms HS1, Flip 8-16 deg, 256 points
Fat Suppression (FS)1/8 views, 4 ms Gauss, Flip 120 deg, offset -625 Hz
3d Radial Isotropic Vieworder
Sorted Halton** sequence, 512 views per k-space sphere
128 full spheres per 4.5 min acquisition (6 min with FS)
65,536 views total before restarting
Gridding based reconstruction
Sliding window reconstruction for DCE, 6 sec frames
* 10 ms HS4 R20 pulse for dual fat and silicone suppression
** Wong TT, Sampling with Hammersley and Halton Points,J Graph Tools archive, Volume 2 , Issue 2, 1997., Chan RW et al., MRM 2010.
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Case FA
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Case mass like DCIS
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Case IDC
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Ongoing Study...
We have now recruited 12 patients and have 8 successful sessions3 of the incompletes were due to last minute exclusionsone due to scanner failure
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Conclusions
SWIFT can produce high temporal resolution DCE and high resolution morphological data from the same scan data
Work in progress....
Model based evaluation of DCE data
Compressed Sensing reconstruction
Case reviews and search for novel contrast (short T2)
Continue recruiting patients....
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Acknowlegdements
We gratefully acknowledge NIH R21 CA139688, P41 RR008079, S10 RR023730, S10 RR027290,and the Minnesota Medical Foundation 3932-9227-09for grant support.
Thanks to physicians and residents at the Fairview University Breast Center and Jinjin Zhang for assistance with patient studies
Thanks to S. Suddarth and A. Rath of Agilent, B. Hannah,J. Strupp, and P. Anderson of CMRR for software and hardware support.
Thanks especially to Djaudat Idiyatullin, Mike Garwood, Mike Tesch, and Ryan Chamberlain (The rest of the SWIFT team) and colleagues at the UMN CMRR!
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NMR and Convolution
* =
h(t)
r(t)spin impulse response
x(t)RF pulse
systemresponse
NMR and ConvolutionThe fundamental basis of SWIFT signal processingis that a frequency modulated pulse alters the system response away from the familiar hard pulse impulse response.In the small flip angle limit the relationship is convolution. Practically it works well up to 90°.
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SWIFT and Correlation
=x(t)RF pulse
Recovering a standard FID by correlationSWIFT produces an FID if the raw data (system reposnse) is correlatied with the complex RF pulse shape as a post processing step.
In practice this is performed in the frequency domain by multiplication with the complex conjugate of the complex pulse profile.
r(t)systemresponse h(t)
spin impulse response