Regional motion correction for in vivo photoacoustic imaging in humans using interleaved ultrasound images.
Tobias ErlövRafi SheikhUlf DahlstrandJohn AlbinssonMalin MalmsjöMagnus CinthioPublished in: Biomedical optics express (2021)
In translation from preclinical to clinical studies using photoacoustic imaging, motion artifacts represent a major issue. In this study the feasibility of an in-house algorithm, referred to as intensity phase tracking (IPT), for regional motion correction of in vivo human photoacoustic (PA) images was demonstrated. The algorithm converts intensity to phase-information and performs 2D phase-tracking on interleaved ultrasound images. The radial artery in eight healthy volunteers was imaged using an ultra-high frequency photoacoustic system. PA images were motion corrected and evaluated based on PA image similarities. Both controlled measurements using a computerized stepping motor and free-hand measurements were evaluated. The results of the controlled measurements show that the tracking corresponded to 97 ± 6% of the actual movement. Overall, the mean square error between PA images decreased by 52 ± 15% and by 43 ± 19% when correcting for controlled- and free-hand induced motions, respectively. The results show that the proposed algorithm could be used for motion correction in photoacoustic imaging in humans.
Keyphrases
- deep learning
- convolutional neural network
- fluorescence imaging
- high frequency
- high resolution
- high speed
- optical coherence tomography
- machine learning
- magnetic resonance imaging
- transcranial magnetic stimulation
- endothelial cells
- photodynamic therapy
- high intensity
- computed tomography
- magnetic resonance
- oxidative stress
- electronic health record
- diabetic rats
- mass spectrometry
- induced pluripotent stem cells
- image quality
- clinical decision support