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Related Concept Videos

Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...

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Three-dimensional Optical-resolution Photoacoustic Microscopy
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Dual-Modal Fast Photoacoustic/Ultrasound Localization Imaging with Sparsity-Constrained Optimization.

Shensheng Zhao1,2,3, Souradip Paul1,2,3, Junxi Yi1,2,4

  • 1Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.

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|May 21, 2025
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Summary

This study introduces a fast dual-modal imaging protocol combining photoacoustic (PA) and ultrasound localization (UL) for super-resolution biomedical imaging. The new method accelerates data acquisition, enabling rapid in vivo visualization of vascular and physiological structures.

Keywords:
Multimodal imagingPhotoacoustic imagingPreclinical imagingSparsity-constrained optimizationSuper-resolution imagingUltrasound localization imaging

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Area of Science:

  • Biomedical Imaging
  • Medical Technology
  • Optical Imaging

Background:

  • Dual-modal imaging integrating photoacoustic (PA) and ultrasound localization (UL) shows promise in various biomedical fields.
  • Current limitations include acquisition speed mismatches between PA and UL, hindering combined efficacy.
  • Microbubbles are utilized as contrast agents in this dual-modal approach.

Purpose of the Study:

  • To introduce a protocol for accelerated dual-modal PA/UL imaging using sparsity constraint optimization.
  • To enable in vivo super-resolution imaging of vascular and physiological structures at high temporal resolution (under two seconds per frame).
  • To provide comprehensive guidelines for constructing and utilizing an interleaved PA/UL (PAUL) imaging system.

Main Methods:

  • Development of a protocol applying sparsity constraint optimization to accelerate dual-modal data acquisition.
  • Construction of an interleaved PA/UL (PAUL) imaging system, detailing material selection, setup, and calibration.
  • Implementation of image acquisition, reconstruction, and post-processing methods for PAUL imaging.

Main Results:

  • Achieved in vivo super-resolution imaging of vascular and physiological structures in under two seconds per frame.
  • Demonstrated super-resolved imaging of renal hemodynamics and oxygenation using the PAUL system.
  • Successfully provided detailed guidelines for system construction, calibration, acquisition, and troubleshooting.

Conclusions:

  • The developed protocol enables rapid, dual-modal PAUL imaging, overcoming previous speed limitations.
  • This advancement empowers the biomedical community to establish advanced imaging platforms for clinical research.
  • The PAUL imaging system broadens biomedical applications and enhances imaging capabilities for studying physiology and disease.