Zhu, Jiaqi;
Huynh, Nam;
Ogunlade, Olumide;
Ansari, Rehman;
Lucka, Felix;
Cox, Ben;
Beard, Paul;
(2023)
Mitigating the limited view problem in photoacoustic tomography for a planar detection geometry by regularised iterative reconstruction.
IEEE Transactions on Medical Imaging
10.1109/tmi.2023.3271390.
(In press).
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Abstract
The use of a planar detection geometry in photoacoustic tomography results in the so-called limited-view problem due to the finite extent of the acoustic detection aperture. When images are reconstructed using one-step reconstruction algorithms, image quality is compromised by the presence of streaking artefacts, reduced contrast, image distortion and reduced signal-to-noise ratio. To mitigate this, model-based iterative reconstruction approaches based on least squares minimisation with and without total variation regularisation were evaluated using in-silico , experimental phantom, ex vivo and in vivo data. Compared to one-step reconstruction methods, it has been shown that iterative methods provide better image quality in terms of enhanced signal-to-artefact ratio, signal-to-noise ratio, amplitude accuracy and spatial fidelity. For the total variation approaches, the impact of the regularisation parameter on image feature scale and amplitude distribution was evaluated. In addition, the extent to which the use of Bregman iterations can compensate for the systematic amplitude bias introduced by total variation was studied. This investigation is expected to inform the practical application of model-based iterative image reconstruction approaches for improving photoacoustic image quality when using finite aperture planar detection geometries.
| Type: | Article |
|---|---|
| Title: | Mitigating the limited view problem in photoacoustic tomography for a planar detection geometry by regularised iterative reconstruction |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/tmi.2023.3271390 |
| Publisher version: | https://doi.org/10.1109/TMI.2023.3271390 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Photoacoustic image reconstruction, planar detection geometry, iterative image reconstruction, total variation regularization, Bregman iteration |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10169338 |
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