Gradient non-linearity compensation in moving table MRI

Electricity: measuring and testing – Particle precession resonance – Spectrometer components

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C324S309000

Reexamination Certificate

active

06967479

ABSTRACT:
The present invention includes a method and apparatus to correct for gradient field distortions. The invention is particularly applicable in moving table imaging where a single extended image is desirable. The invention includes acquiring MR data in motion in the presence of gradient non-linearities, transforming the MR data acquired into the image domain, and then applying a warping correction function to the transformed MR data. The warp-corrected MR data is then corrected for motion induced during the MR acquisition. The data may be acquired point-by-point, line-by-line, or another sub-portion of the entire MR data acquired, and processed to minimize the amount of motion correction needed. Based on table velocity or acquisition sequence applied, the data is partitioned based on a common motion correction factor, and after correcting for motion, the data is accumulated to build up a final image.

REFERENCES:
patent: 4591789 (1986-05-01), Glover et al.
patent: 5200700 (1993-04-01), Glover et al.
patent: 5351006 (1994-09-01), Sumanaweera et al.
patent: 5910728 (1999-06-01), Sodickson
patent: 5928148 (1999-07-01), Wang et al.
patent: 6150815 (2000-11-01), Janzen et al.
patent: 6249694 (2001-06-01), Foo et al.
patent: 6317620 (2001-11-01), Ho et al.
patent: 6445182 (2002-09-01), Dean et al.
patent: 6636756 (2003-10-01), Zhu
patent: 6671536 (2003-12-01), Mistretta
patent: 6707300 (2004-03-01), Polzin et al.
patent: H6-304153 (1994-11-01), None
patent: H6-311977 (1994-11-01), None
patent: H8-173396 (1996-07-01), None
DJ Bryant et al., “Meausrement of Flow with NMR Imaging Using a Gradient Pulse and Phase Difference Technique,”J Comput Assist Tomogr1984; 8:588-93.
O. Dietrich et al., “Extending the Coverage of True Volume Scans by Continuous Movement of the Subject,”ISMRM Seventh Scientific Meeting1999; p. 1653.
RL Ehman et al., “Adaptive Technique for High-Definition MR Imaging of Moving Structures,”Radiology1989; 173:255-263.
TKF Foo et al., “Automated Detection of Bolus Arrival and Initiation of Data Acquisition in Fast, Three-Dimensonal, Gadolinium-Enhanced MR Angiography,”Radiology1997; 203:275-280.
J. Hennig, “Overlapping Section Coverage in Multisection Imaging,”JMRI1993; 3:425-432.
Ky Ho et al., “Gadolinium Optimized Tracking Technique: A New MRA Technique for Imaging the Peripheral Vascular Tree from Aorta to the Foot Using One Bolus of Gadolinium,”ISMRM Fifth Scientific Meeting1997; p. 203.
Ky Ho et al., “Peripheral Vasculature Tree Stenoses: Evaluation With Moving-Bed Infusion-Tracking MR Angiography,”Radiology1998; 260:683-92.
DG Kruger, “Continuously Moving Table Data Acquisition Method for Long FOV Contrast-Enhanced MRA and Whole-Body MRI,”Magnetic Resonance in Medicine2002; 47:224-231.
K. Liu et al., “Applications of Shifted-Interleaved Multi-Volume Acquisition (SIMVA) with Suppressed Slab Boundary Artifact,”ISMRM Seventh Scientific Meeting1999; p. 1618.
K. Liu et al., “Artifact Transformation Technique: Shifted Interleaved Multi-Volume Acquisition (SIMVA) for 3D FSE,”ISMRM Sixth Scientific Meeting1998; p. 572.
K. Liu et al., “Sliding Interleaved ky(SLINKY) Acquisition: A Novel 3D MRA Technique With Suppressed Slab Boundary Artifact,”JMRI1998; 8:905-911.
K. Liu, “SLINKY: More Understanding, Optimization and Application for High Resolution MRA,”ISMRM Seventh Scientific Meeting1999; p. 1908.
K Liu et al., “Systematic Assessment and Evaluation of Sliding Interleaved ky(SLINKY) Acquisition for 3D MRA,”JMRI1998; 8:912-923.
JF Meaney, Leeds General Infirmary, Leeds, UK, “Moving Bed MRA, The Future of Peripheral Arteriography?”Philips.
JF Meaney et al., “Stepping-Table Gadolinium-Enhanced Digital Subtraction MR Angiography of the Aorta and Lower Extremity Arteries; Preliminary Experience,”Radiology1999; 211:59-67.
PR Moran, “A Flow Velocity Zeugmatographic Interface for NMR Imaging in Humans,”Magnetic Resonance Imaging1982; 1:197-203.
GL Nayler et al., “Blood Flow Imaging by Cine Magnetic Resonance,”J Comoput Assist Tomgr1986; 10:715-22.
JG Pipe, “Analysis of Localized Quadratic Encoding and Reconstruction,”MRM1996; 36:137-146.
JG Pipe, “Spatial Encoding and Reconstruction in MRI with Quadratic Phase Profiles,”MRM1995; 33:24-33.
MR Prince et al., “Contrast Enhanced Abdominal MR Angiography; Optimization of Imaging Delay Time by Automating the Detection of Contrast Material Arrival in the Aorta,”Radiology1997; 203:109-114.
SJ Riederer et al., “3D-Enhanced MR Angiography Using Fluoroscopic Triggering and an Elliptical Centric View Order,”Int. J. Card Imaging1999; 15:117-29.
JS Swan et al., “MR Angiography of the Pelvis with Variable Velocity Encoding and a Phase-Array Coil,”Radiology1994; 190:363-9.
JS Swan et al., “Peripheral MR Agiography with Variable Velocity Encoding (work in progress),”Radiology1992; 813-7.
P. Van Dijk, “Direct Cardiact NMR Imaging of Heart Wall and Blood Flow Velocity,”J. Comput Assist Tomogr1984; 8:429-36.
AH Wilman et al., “Arterial Phase Carotid and Vertebral Artery Imaging in 3D Contrast-Enhanced MR Angiography by Combining Fluoroscopic Triggering with an Elliptical Centric Acquisition Order,”Magn. Reson Med. 1998; 40: 24-35.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Gradient non-linearity compensation in moving table MRI does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Gradient non-linearity compensation in moving table MRI, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gradient non-linearity compensation in moving table MRI will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3458958

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.