Abstract
Photoacoustic (PA) imaging requires channel data acquisition synchronized with a laser firing system. Unfortunately,the access to these channel data is only available on specialized research systems,and most clinical ultrasound scanners do not offer an interface to obtain this data. To broaden the impact of clinical PA imaging,we propose a vendor-independent PA imaging system utilizing ultrasound post-beamformed radio frequency (RF) data,which is readily accessible in some clinical scanners. In this paper,two PA beamforming algorithms that use the post-beamformed RF data as the input are introduced: inverse beamforming,and synthetic aperture (SA) based re-beamforming. Inverse beamforming recovers the channel data by taking into account the ultrasound beamforming delay function. The recovered channel data can then be used to reconstruct a PA image. SA based re-beamforming algorithm regards the defocused RF data as a set of pre-beamformed RF data received by virtual elements; an adaptive synthetic aperture beamforming algorithm is applied to refocus it. We demonstrated the concepts in simulation,and experimentally validated their applicability on a clinical ultrasound scanner using a pseudo-PA point source and in vivo data. Results indicate the full width at the half maximum (FWHM) of the point target using the proposed inverse beamforming and SA re-beamforming were 1.33 mm,and 1.08 mm,respectively. This is comparable to conventional delay-and-sum PA beamforming,for which the measured FWHM was 1.49 mm.
| Original language | English (US) |
|---|---|
| Title of host publication | Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings |
| Publisher | Springer Verlag |
| Pages | 585-592 |
| Number of pages | 8 |
| Volume | 9900 LNCS |
| ISBN (Print) | 9783319467191 |
| DOIs | |
| State | Published - 2016 |
| Event | 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece Duration: Oct 21 2016 → Oct 21 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9900 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 |
|---|---|
| Country | Greece |
| City | Athens |
| Period | 10/21/16 → 10/21/16 |
Fingerprint
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Photoacoustic imaging paradigm shift : Towards using vendor-independent ultrasound scanners. / Zhang, Haichong K.; Guo, Xiaoyu; Tavakoli, Behnoosh; Boctor, Emad.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9900 LNCS Springer Verlag, 2016. p. 585-592 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9900 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Photoacoustic imaging paradigm shift
T2 - Towards using vendor-independent ultrasound scanners
AU - Zhang, Haichong K.
AU - Guo, Xiaoyu
AU - Tavakoli, Behnoosh
AU - Boctor, Emad
PY - 2016
Y1 - 2016
N2 - Photoacoustic (PA) imaging requires channel data acquisition synchronized with a laser firing system. Unfortunately,the access to these channel data is only available on specialized research systems,and most clinical ultrasound scanners do not offer an interface to obtain this data. To broaden the impact of clinical PA imaging,we propose a vendor-independent PA imaging system utilizing ultrasound post-beamformed radio frequency (RF) data,which is readily accessible in some clinical scanners. In this paper,two PA beamforming algorithms that use the post-beamformed RF data as the input are introduced: inverse beamforming,and synthetic aperture (SA) based re-beamforming. Inverse beamforming recovers the channel data by taking into account the ultrasound beamforming delay function. The recovered channel data can then be used to reconstruct a PA image. SA based re-beamforming algorithm regards the defocused RF data as a set of pre-beamformed RF data received by virtual elements; an adaptive synthetic aperture beamforming algorithm is applied to refocus it. We demonstrated the concepts in simulation,and experimentally validated their applicability on a clinical ultrasound scanner using a pseudo-PA point source and in vivo data. Results indicate the full width at the half maximum (FWHM) of the point target using the proposed inverse beamforming and SA re-beamforming were 1.33 mm,and 1.08 mm,respectively. This is comparable to conventional delay-and-sum PA beamforming,for which the measured FWHM was 1.49 mm.
AB - Photoacoustic (PA) imaging requires channel data acquisition synchronized with a laser firing system. Unfortunately,the access to these channel data is only available on specialized research systems,and most clinical ultrasound scanners do not offer an interface to obtain this data. To broaden the impact of clinical PA imaging,we propose a vendor-independent PA imaging system utilizing ultrasound post-beamformed radio frequency (RF) data,which is readily accessible in some clinical scanners. In this paper,two PA beamforming algorithms that use the post-beamformed RF data as the input are introduced: inverse beamforming,and synthetic aperture (SA) based re-beamforming. Inverse beamforming recovers the channel data by taking into account the ultrasound beamforming delay function. The recovered channel data can then be used to reconstruct a PA image. SA based re-beamforming algorithm regards the defocused RF data as a set of pre-beamformed RF data received by virtual elements; an adaptive synthetic aperture beamforming algorithm is applied to refocus it. We demonstrated the concepts in simulation,and experimentally validated their applicability on a clinical ultrasound scanner using a pseudo-PA point source and in vivo data. Results indicate the full width at the half maximum (FWHM) of the point target using the proposed inverse beamforming and SA re-beamforming were 1.33 mm,and 1.08 mm,respectively. This is comparable to conventional delay-and-sum PA beamforming,for which the measured FWHM was 1.49 mm.
UR - http://www.scopus.com/inward/record.url?scp=84996483415&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84996483415&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46720-7_68
DO - 10.1007/978-3-319-46720-7_68
M3 - Conference contribution
SN - 9783319467191
VL - 9900 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 585
EP - 592
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
PB - Springer Verlag
ER -