Cargando…

Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS

Photoacoustic imaging is a non-ionizing imaging modality that provides contrast consistent with optical imaging techniques while the resolution and penetration depth is similar to ultrasound techniques. In a previous publication [Opt. Express 18, 11406 (2010)], a technique was introduced to experime...

Descripción completa

Detalles Bibliográficos
Autores principales: Roumeliotis, Michael B., Stodilka, Robert Z., Anastasio, Mark. A., Ng, Eldon, Carson, Jeffrey J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482879/
https://www.ncbi.nlm.nih.gov/pubmed/21747496
http://dx.doi.org/10.1364/OE.19.013405
_version_ 1782247920411607040
author Roumeliotis, Michael B.
Stodilka, Robert Z.
Anastasio, Mark. A.
Ng, Eldon
Carson, Jeffrey J. L.
author_facet Roumeliotis, Michael B.
Stodilka, Robert Z.
Anastasio, Mark. A.
Ng, Eldon
Carson, Jeffrey J. L.
author_sort Roumeliotis, Michael B.
collection PubMed
description Photoacoustic imaging is a non-ionizing imaging modality that provides contrast consistent with optical imaging techniques while the resolution and penetration depth is similar to ultrasound techniques. In a previous publication [Opt. Express 18, 11406 (2010)], a technique was introduced to experimentally acquire the imaging operator for a photoacoustic imaging system. While this was an important foundation for future work, we have recently improved the experimental procedure allowing for a more densely populated imaging operator to be acquired. Subsets of the imaging operator were produced by varying the transducer count as well as the measurement space temporal sampling rate. Examination of the matrix rank and the effect of contributing object space singular vectors to image reconstruction were performed. For a PAI system collecting only limited data projections, matrix rank increased linearly with transducer count and measurement space temporal sampling rate. Image reconstruction using a regularized pseudoinverse of the imaging operator was performed on photoacoustic signals from a point source, line source, and an array of point sources derived from the imaging operator. As expected, image quality increased for each object with increasing transducer count and measurement space temporal sampling rate. Using the same approach, but on experimentally sampled photoacoustic signals from a moving point-like source, acquisition, data transfer, reconstruction and image display took 1.4 s using one laser pulse per 3D frame. With relatively simple hardware improvements to data transfer and computation speed, our current imaging results imply that acquisition and display of 3D photoacoustic images at laser repetition rates of 10Hz is easily achieved.
format Online
Article
Text
id pubmed-3482879
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Optical Society of America
record_format MEDLINE/PubMed
spelling pubmed-34828792012-10-30 Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS Roumeliotis, Michael B. Stodilka, Robert Z. Anastasio, Mark. A. Ng, Eldon Carson, Jeffrey J. L. Opt Express Research-Article Photoacoustic imaging is a non-ionizing imaging modality that provides contrast consistent with optical imaging techniques while the resolution and penetration depth is similar to ultrasound techniques. In a previous publication [Opt. Express 18, 11406 (2010)], a technique was introduced to experimentally acquire the imaging operator for a photoacoustic imaging system. While this was an important foundation for future work, we have recently improved the experimental procedure allowing for a more densely populated imaging operator to be acquired. Subsets of the imaging operator were produced by varying the transducer count as well as the measurement space temporal sampling rate. Examination of the matrix rank and the effect of contributing object space singular vectors to image reconstruction were performed. For a PAI system collecting only limited data projections, matrix rank increased linearly with transducer count and measurement space temporal sampling rate. Image reconstruction using a regularized pseudoinverse of the imaging operator was performed on photoacoustic signals from a point source, line source, and an array of point sources derived from the imaging operator. As expected, image quality increased for each object with increasing transducer count and measurement space temporal sampling rate. Using the same approach, but on experimentally sampled photoacoustic signals from a moving point-like source, acquisition, data transfer, reconstruction and image display took 1.4 s using one laser pulse per 3D frame. With relatively simple hardware improvements to data transfer and computation speed, our current imaging results imply that acquisition and display of 3D photoacoustic images at laser repetition rates of 10Hz is easily achieved. Optical Society of America 2011-06-27 /pmc/articles/PMC3482879/ /pubmed/21747496 http://dx.doi.org/10.1364/OE.19.013405 Text en ©2011 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Research-Article
Roumeliotis, Michael B.
Stodilka, Robert Z.
Anastasio, Mark. A.
Ng, Eldon
Carson, Jeffrey J. L.
Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS
title Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS
title_full Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS
title_fullStr Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS
title_full_unstemmed Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS
title_short Singular value decomposition analysis of a photoacoustic imaging system and 3D imaging at 0.7 FPS
title_sort singular value decomposition analysis of a photoacoustic imaging system and 3d imaging at 0.7 fps
topic Research-Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482879/
https://www.ncbi.nlm.nih.gov/pubmed/21747496
http://dx.doi.org/10.1364/OE.19.013405
work_keys_str_mv AT roumeliotismichaelb singularvaluedecompositionanalysisofaphotoacousticimagingsystemand3dimagingat07fps
AT stodilkarobertz singularvaluedecompositionanalysisofaphotoacousticimagingsystemand3dimagingat07fps
AT anastasiomarka singularvaluedecompositionanalysisofaphotoacousticimagingsystemand3dimagingat07fps
AT ngeldon singularvaluedecompositionanalysisofaphotoacousticimagingsystemand3dimagingat07fps
AT carsonjeffreyjl singularvaluedecompositionanalysisofaphotoacousticimagingsystemand3dimagingat07fps