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		<title>k-Wave User Forum &#187; Topic: PA Recontruction for a certain range of depth</title>
		<link>http://www.k-wave.org/forum/topic/pa-recontruction-for-a-certain-range-of-depth</link>
		<description>Support for the k-Wave MATLAB toolbox</description>
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		<pubDate>Wed, 13 May 2026 00:22:31 +0000</pubDate>
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			<title>bencox on "PA Recontruction for a certain range of depth"</title>
			<link>http://www.k-wave.org/forum/topic/pa-recontruction-for-a-certain-range-of-depth#post-8220</link>
			<pubDate>Wed, 16 Jun 2021 22:22:55 +0000</pubDate>
			<dc:creator>bencox</dc:creator>
			<guid isPermaLink="false">8220@http://www.k-wave.org/forum/</guid>
			<description>&#60;p&#62;Hi ml414,&#60;/p&#62;
&#60;p&#62;It sounds as though you want to do what the seismic community call re-datuming, adjusting your data so that it is as if it were recorded at different sensor positions. If you have a planar transducer then you can use the function &#60;code&#62;angularSpectrum&#60;/code&#62; to do that. For other array geometries it's not so straightforward, although I do recall seeing a paper, or talk perhaps, doing it with a hemi-spherical array (although frustratingly I can't find the paper now).&#60;/p&#62;
&#60;p&#62;Rather than use time reversal, which reconstructs the whole field for all time steps, you could reconstruct the photoacoustic image using a different type of approach. With some approaches, eg. backprojection formulas or matrix-based approaches, you could reconstruct just the region you're interested in.&#60;/p&#62;
&#60;p&#62;Best wishes&#60;br /&#62;
Ben
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			<title>ml414 on "PA Recontruction for a certain range of depth"</title>
			<link>http://www.k-wave.org/forum/topic/pa-recontruction-for-a-certain-range-of-depth#post-8149</link>
			<pubDate>Fri, 14 May 2021 01:21:14 +0000</pubDate>
			<dc:creator>ml414</dc:creator>
			<guid isPermaLink="false">8149@http://www.k-wave.org/forum/</guid>
			<description>&#60;p&#62;Hi Dr Treeby,&#60;/p&#62;
&#60;p&#62;I have been using time-reversal in kwave for our real-world data and it works great. But in our experimental setup, we have a 20 mm distance of empty space (filled with coupling medium) from the transducer surface to the targeted region along the axial direction. Is there a way we can skip the recon for the empty region, but only reconstruct the targeted region so that potentially the recon speed can be accelerated (since a smaller region is reconstructed)? I've tried to cut kgrid.t_array and sensor_data, but it says t_array can only start from 0. &#60;/p&#62;
&#60;p&#62;Thank you!
&#60;/p&#62;</description>
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