<div dir="ltr"><div><div><div>Dear Emma,<br></div>I guess you should be able to do it if you disconnect the pipeline, i.e., if you update the upstream pipeline, have the result stored to some variable and then you apply as many optimizers as you wish, making the variable contents the input for your many optimizers.<br>
<br></div>As for the performance, I cannot help much. Sorry.<br><br></div>HTH,<br>JON HAITZ<br><br><div><div><div><div class="gmail_extra"><br><br><div class="gmail_quote">On 27 September 2013 00:45, Emma Saunders <span dir="ltr"><<a href="mailto:emmasaunders123@gmail.com" target="_blank">emmasaunders123@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi list<div><br></div><div>I am performing registration using a bulk Affine transform followed by Bspline registration, (not v4)</div>
<div><br></div><div>I would like to use a regular gradient descent optimizer for the Affine and a LBFG optimizer for the Bspline (hoping this increases speed).</div>
<div><br></div><div>Is it therefore possible to just use another call to registration->Optimizer, using a different optimizer for the same registration. Initial attempts do not work? Is this possible or do I have to use two separate registrations?</div>
<div><br></div><div>Any further advice on increased speed wrt metric type, optimizer for dynamic mri data is appreciated.</div><div><br></div><div>Thanks</div><span class="HOEnZb"><font color="#888888"><div><br></div><div>
Emma</div></font></span></div>
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