Dr. Junwei Li Profile

Dr. Junwei Li

at Univ of Washington

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Proceedings Article | 11 March 2015 Paper

Cyclic magnetomotive photoacoustic/ultrasound imaging

Bastien Arnal, Chen-wei Wei, Thu-Mai Nguyen, Junwei Li, Ivan Pelivanov, Xiaohu Gao, Matthew O'Donnell

Proceedings Volume 9323, 93230T (2015) https://doi.org/10.1117/12.2084906

KEYWORDS: Magnetism, In vivo imaging, In vitro testing, Liver, Ultrasonography, Tissues, Nanoparticles, Motion measurement, Photoacoustic imaging, Target detection

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Magnetomotive photoacoustic/ultrasound imaging has shown superior specificity in visualizing targeted objects at cellular and molecular levels. By detecting magnet-induced displacements, magnetic-particles-targeted objects can be differentiated from background signals insensitive to the magnetic field. Unfortunately, background physiologic motion interferes during measurement, such as cardiac-induced motion and respiration, greatly reducing the robustness of the technique. In this paper, we proposed cyclic magnetomotive imaging with narrowband magnetic excitation. By synchronizing magnetic motion with the excitations, targeted objects moving coherently can be distinguished from background static signals and signals moving incoherently. HeLa cells targeted with magnetic nanoparticle-polymer core-shell particles were used as the targets for an initial test. A linear ultrasound array was interfaced with a commercial scanner to acquire a photoacoustic/ultrasound image sequence (maximum 1000 frames per second) during multi-cycle magnetic excitation (0.5 – 40 Hz frequency range) with an electromagnet. An image mask defined by a threshold on the displacement-coherence map was applied to the original images for background suppression. The results show that contrast was increased by more than 60 dB in an in-vitro experiment with the tagged cells fixed in a polyvinyl-alcohol gel and sandwiched between porcine liver tissues. Using a single sided system, cells injected subcutaneously on the back of a mouse were successfully differentiated from the background, with less than 20 µm coherent magnetic induced displacements isolated from millimetric background breathing motion. These results demonstrate the technique’s motion robustness for highly sensitive and specific diagnosis.

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