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Iterative highly constrained image reconstruction method

An image and height technology, applied in image generation, image data processing, measurement using nuclear magnetic resonance imaging system, etc., can solve problems such as suppression

Active Publication Date: 2013-04-03
WISCONSIN ALUMNI RES FOUND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, as is known in the art, if a certain correction is made to each signal curve 10, and a sufficient number of curves are acquired over a corresponding number of projection angles, the error caused by this false assumption is minimized, and Image artifacts are suppressed

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[0062] special reference figure 1 with 9 , the present invention is a modification of the HYPR image reconstruction method that enables the method to be used in complex clinical applications. According to HYPR, image frame 2 is acquired as shown in process box 5 . Image frames 2 may be acquired using any number of different imaging modalities, such as MRI, CT, PET, SPECT or ultrasound. Image frame 2 is characterized in that it may be a set of views that are undersampled of the object being imaged, or it may be an image frame that has a low SNR due to the manner in which it was acquired.

[0063] The method also includes the production of the initial composite image 3 as indicated by process block 6 . Composite image 3 is characterized by a higher quality than image frame 2, although it can be acquired in any number of different ways. The object to be imaged may be of higher quality due to more complete sampling, or have a higher SNR due to, for example, longer acquisition...

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Abstract

An image reconstruction method includes reconstructing an initial composite image of a subject using a conventional reconstruction method. The initial composite image employs the best information available regarding the subject of the scan and this information is used to constrain the reconstruction of a highly undersampled or low SNR image frames. This highly constrained image reconstruction is repeated a plurality of iterations with the reconstructed image frame for one iteration being used as the composite image for the next iteration. The reconstructed image frame rapidly converges to a final image frame.

Description

[0001] Cross References to Related Applications [0002] This application is based on US Provisional Patent Application No. 60 / 901,727, filed February 19, 2007, entitled "Iterative Highly Constrained Image Reconstruction Method." [0003] Statement Regarding Federally Sponsored Research [0004] This invention was made with government support under Grant No. DK073680 awarded by the National Institutes of Health. The US Government has certain rights in this invention. technical field [0005] The invention relates to the field of imaging, in particular to a method for reconstructing an image from collected image data. Background technique [0006] Magnetic resonance imaging (MRI) uses the phenomenon of nuclear magnetic resonance (NMR) to produce images. When a substance such as human tissue is subjected to a uniform magnetic field (polarization field B 0 ), the independent spin magnetic moments within the tissue try to align with this polarization field alignment, but pre...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R33/56
CPCG01R33/5611G01R33/56366G06T2211/428G01R33/5619G01R33/56341G01R33/5601G06T11/006G06T2211/424G01R33/4824G01R33/5608G01R33/56308G06T2211/412
Inventor R·L·欧亨兰S·B·菲恩J·H·福尔摩斯
Owner WISCONSIN ALUMNI RES FOUND