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. Author manuscript; available in PMC: 2017 Sep 15.
Published in final edited form as: Trends Biotechnol. 2016 Feb 26;34(5):420–433. doi: 10.1016/j.tibtech.2016.02.001

Table 1.

Summary of the major advances, trends, and challenges of PAI systems for clinical translation

PA imaging
system
Features Technique advances
and trends
Disease models Translational
challenges
References
PAM Laser focusing, high ultrasound frequency, raster scanning High frame rate, wavefront engineering, microelectromechanical systems Melanoma imaging, port-wine stains, ophthalmology diagnosis Shallow penetration depth, limited FOV [59, 9092]
PAFC Single cell detection, high resolution Specific disease targets, ultrasensitive abnormal cells detection Circulating tumor cells, hematologic diseases Shallow detection depth, low sensitivity [24, 93]
PAE Circumferential sector scan, interior imaging Miniaturized probe, coregistered PAE/EUS system Gastrointestinal tract imaging, atherosclerosis detection, lymph node imaging Probe size, motion artifacts, robustness [35, 36, 94]
PACT Circular scanning, inverse reconstruction algorithm, large FOV Detection geometries, parallel data-acquisition, sophisticated reconstruction Human breast cancer, primate brain imaging through skull, hypoxic-ischemic encephalopathy Strong artifacts, suboptimal spatial resolution and imaging speed [10, 50, 95]
PA mammoscope Flat ultrasonic transducer array, fast DAQ, large field-of-view (FOV). NIR laser or microwave excitation, real-time imaging Human breast cancer diagnosis Patient-instrument interface, and relatively low spatial resolution [84]
Ultrasound array based PAT Dual-modality, adaptable from clinical ultrasound system Handheld probe, portable SLN mapping, human ovarian tissue, rat bone and joint imaging Low SNR, Imaging accuracy [64, 96, 97]