<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://www.nitrc.org/themes/nitrc3.0/css/rss.xsl.php?feed=https://www.nitrc.org/export/rss20_forum.php?forum_id=7139" ?>
<?xml-stylesheet type="text/css" href="https://www.nitrc.org/themes/nitrc3.0/css/rss.css" ?>
<rss version="2.0"> <channel>
  <title>NITRC News Group Forum: an-efficient-reconstruction-algorithm-based-on-the-alternating-direction-method-of-multipliers-for-joint-estimation-of-r2--and-off-resonance-in-fmri.</title>
  <link>http://www.nitrc.org/forum/forum.php?forum_id=7139</link>
  <description>
	&lt;table border=&quot;0&quot; width=&quot;100%&quot;&gt;&lt;tr&gt;&lt;td align=&quot;left&quot;/&gt;&lt;/tr&gt;&lt;/table&gt;
        &lt;p&gt;&lt;b&gt;An efficient reconstruction algorithm based on the alternating direction method of multipliers for joint estimation of R2* and off-resonance in fMRI.&lt;/b&gt;&lt;/p&gt;          
        &lt;p&gt;IEEE Trans Med Imaging. 2017 Feb 13;:&lt;/p&gt;
        &lt;p&gt;Authors:  Hu C, Reeves S, Peters D, Twieg D&lt;/p&gt;
        &lt;p&gt;Abstract&lt;br/&gt;
        R 2 mapping is a useful tool in blood-oxygen-level dependent (BOLD) fMRI due to its quantitative nature. However, like T 2 -weighted imaging, standard R 2 mapping based on multiecho EPI suffers from geometric distortion, due to strong offresonance near the air-tissue interface. Joint mapping of R 2 and off-resonance can correct the geometric distortion and is less susceptible to motion artifacts. Single-shot joint mapping of R 2 and off-resonance is possible with a rosette trajectory due to its frequent sampling of the k-space center. However, the corresponding reconstruction is nonlinear, ill-conditioned, largescale, and computationally inefficient with current algorithms. In this work, we propose a novel algorithm for joint mapping of R 2 and off-resonance, using rosette k-space trajectories. The new algorithm, based on the alternating direction method of multipliers (ADMM), improves the reconstruction efficiency by simplifying the original complicated cost function into a composition of simpler optimization steps. Compared to a recently developed trust region algorithm, the new algorithm achieves the same accuracy and an acceleration of 3-6 fold in reconstruction time. Based on the new algorithm, we present simulation and in vivo data from single-shot, double-shot, and quadruple-shot rosettes and demonstrate the improved image quality and reduction of distortions in the reconstructed R 2 map.&lt;br/&gt;
        &lt;/p&gt;&lt;p&gt;PMID: 28207389 [PubMed - as supplied by publisher]&lt;/p&gt;
    </description>
  <language>en-us</language>
  <copyright>Copyright 2000-2026 NITRC OSI</copyright>
  <webMaster></webMaster>
  <lastBuildDate>Wed, 06 May 2026 10:13:06 GMT</lastBuildDate>
  <docs>http://blogs.law.harvard.edu/tech/rss</docs>
  <generator>NITRC RSS generator</generator>
 </channel>
</rss>
