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Dear all, <br>
<br>
I updated dmritool for C++11 with better efficiency. <br>
<br>
I also released some codes for algorithms and demos on uniform
single and multiple shell sampling scheme design. <br>
If you are interested in sampling scheme design, please check the
tutorial for the updates. <br>
<a class="moz-txt-link-freetext" href="https://diffusionmritool.github.io/tutorial_qspacesampling.html">https://diffusionmritool.github.io/tutorial_qspacesampling.html</a><br>
<br>
Here are the updates in details (see the news
<a class="moz-txt-link-freetext" href="https://diffusionmritool.github.io/news.html#dmritool-now-uses-c-11">https://diffusionmritool.github.io/news.html#dmritool-now-uses-c-11</a>):
<br>
<ul class="simple">
<li>We use C++11 in DMRITool now.
<ul>
<li>NDArray now is more efficient with C++11.</li>
<li>The codes have to be built with gcc (>= 4.8), ITK
(>= 4.9). Please check <a class="reference internal"
href="https://diffusionmritool.github.io/building.html"><span
class="doc">the building instruction</span></a>.</li>
</ul>
</li>
<li>Some algorithms and demos on sampling scheme design are
released.
<ul>
<li>Please check the <a class="reference internal"
href="https://diffusionmritool.github.io/tutorial_qspacesampling.html"><span
class="doc">updated tutorial on sampling scheme design</span></a>.</li>
<li>1-Opt: <a class="reference internal"
href="https://diffusionmritool.github.io/commands/SamplingSchemeQSpace1OptEstimation.html"><span
class="doc">SamplingSchemeQSpace1OptEstimation</span></a>,
a new greedy algorithm which refines a given initialization.
It can fix a known issue of <a class="reference internal"
href="https://diffusionmritool.github.io/commands/SamplingSchemeQSpaceIMOCEstimation.html"><span
class="doc">IMOC</span></a> when the number of samples
is large.
See <a class="reference external"
href="https://diffusionmritool.github.io/tutorial_qspacesampling.html#sampling-schemes-by-imoc-1-opt-cnlo">the
tutorial</a>.</li>
<li>CNLO: <a class="reference internal"
href="https://diffusionmritool.github.io/matlabfiles/OptimalSamplingSingleSubset.html"><span
class="doc">OptimalSamplingSingleShellCNLO</span></a>
for single-shell scheme design.</li>
<li>CNLO: <a class="reference internal"
href="https://diffusionmritool.github.io/matlabfiles/OptimalSamplingMultiShellCNLO.html"><span
class="doc">OptimalSamplingMultiShellCNLO</span></a> for
multiple-shell scheme design.</li>
<li>jointly use IMOC + 1-Opt + CNLO for sampling scheme
design:
<ul>
<li><a class="reference external"
href="https://diffusionmritool.github.io/demos/demo_singleshell_IMOC_1Opt_CNLO.html">demo
for single shell scheme</a></li>
<li><a class="reference external"
href="https://diffusionmritool.github.io/demos/demo_mutishell_IMOC_1Opt_CNLO.html">demo
for multiple shell scheme</a></li>
</ul>
</li>
</ul>
</li>
</ul>
<br>
Thanks. <br>
<br>
best,<br>
Jian Cheng<br>
<br>
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