4.5 Article

In vivo three-dimensional photoacoustic imaging of the renal vasculature in preclinical rodent models

期刊

AMERICAN JOURNAL OF PHYSIOLOGY-RENAL PHYSIOLOGY
卷 314, 期 6, 页码 F1145-F1153

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/ajprenal.00337.2017

关键词

photoacoustic imaging; renal vasculature; polycystic kidney disease

资金

  1. UK Regenerative Medicine Platform
  2. Kidney Research UK [RP38/2013]
  3. National Institute for Health Research Biomedical Research Centre at Great Ormond Street Hospital
  4. Medical Research Council [MR/J013110/1]
  5. National Centre for the Replacement, Reduction and Refinement of Animal in Research (NC3Rs)
  6. UK Regenerative Medicine Platform Safety Hub [MRC: MR/K026739/1]
  7. Eli Lilly and Company
  8. King's College London and University College London Comprehensive Cancer Imaging Centre, Cancer Research UK
  9. Engineering and Physical Sciences Research Council
  10. Department of Health, UK
  11. European Union project FAMOS (FP7 ICT) [317744]
  12. Medical Research Council [MR/J013110/1] Funding Source: researchfish
  13. MRC [MR/P018629/1, MR/K026739/1, MR/J013110/1] Funding Source: UKRI

向作者/读者索取更多资源

Noninvasive imaging of the kidney vasculature in preclinical murine models is important for the assessment of renal development, studying diseases and evaluating new therapies but is challenging to achieve using existing imaging modalities. Photoacoustic imaging is a promising new technique that is particularly well suited to visualizing the vasculature and could provide an alternative to existing preclinical imaging methods for studying renal vascular anatomy and function. To investigate this, an all- optical Fabry-Perot-based photoacoustic scanner was used to image the abdominal region of mice. High-resolution three-dimensional, noninvasive, label-free photoacoustic images of the mouse kidney and renal vasculature were acquired in vivo. The scanner was also used to visualize and quantify differences in the vascular architecture of the kidney in vivo due to polycystic kidney disease. This study suggests that photoacoustic imaging could be utilized as a novel preclinical imaging tool for studying the biology of renal disease.

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