Name
Title | ||
|---|---|---|
Fast and High-resolution Three-dimensional Hybrid-domain Photoacoustic Imaging Incorporating Analytical Focused Transducer Beam Amplitude. |
Abstract | ||
|---|---|---|
Recently, many reconstruction methods have been developed to improve the lateral resolution of acoustic-resolution photoacoustic microscopy (ARPAM) in out-of-focus regions. Though these methods enhance image resolution to some extent, they require advanced computational hardware and large computational time, especially for three-dimensional (3-D) cases. However, some methods do not consider the finite size of a transducer, while others employ numerical discretization to build a focused transducer model that is less efficient and accurate. To overcome these problems, we propose a 3-D ARPAM imaging reconstruction method with high precision, high efficiency, and low memory cost. It inherits the framework of model-based reconstructions and incorporates the forward acoustic model in the hybrid domain. This hybrid-domain acoustic model promotes an analytical solution to establish a focused transducer model. Furthermore, the non-uniform fast Fourier transform (NUFFT) and deconvolution methods are introduced to reduce the required computational time and memory volume for 3-D reconstructions. According to the experimental results reconstructed by the proposed method, the lateral resolution of an ARPAM image recorded by a 20-MHz focused transducer (NA 0.393) can reach 88.39
<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>
. This resolution exceeds the diffraction limitation of the focused transducer (
<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$137.8~\mu \text{m}$ </tex-math></inline-formula>
). When reconstructing a 3-D image with
<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${200}\times {200}\times {150}$ </tex-math></inline-formula>
pixels, the proposed method takes only 8.15 s using a laptop loaded with Intel Core i7-8550U CPU at 1.8 GHz and 1.06-GB memory. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMI.2019.2917688 | IEEE transactions on medical imaging |
Keywords | Field | DocType |
Transducers,Image reconstruction,Mathematical model,Acoustics,Imaging,Detectors,Image resolution | Transducer,Computer vision,Photoacoustic imaging in biomedicine,Optics,Artificial intelligence,Beam (structure),Amplitude,Mathematics | Journal |
Volume | Issue | ISSN |
38 | 12 | 0278-0062 |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoran Jin | 1 | 3 | 3.86 |
| Ruochong Zhang | 2 | 1 | 3.77 |
| Siyu Liu | 3 | 18 | 8.31 |
| Yuanjin Zheng | 4 | 328 | 72.86 |