Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Lei Li
  • Liren Zhu
  • Cheng Ma
  • Li Lin
  • Junjie Yao
  • Konstantin Maslov
  • Ruiying Zhang
  • Wanyi Chen
  • Junhui Shi
  • Lihong V. Wang

Detail(s)

Original languageEnglish
Article number0071
Journal / PublicationNature Biomedical Engineering
Volume1
Issue number5
Online published10 May 2017
Publication statusOnline published - 10 May 2017
Externally publishedYes

Abstract

Imaging of small animals has played an indispensable role in preclinical research by providing high-dimensional physiological, pathological and phenotypic insights with clinical relevance. Yet, pure optical imaging suffers from either shallow penetration (up to ~1–2 mm) or a poor depth-to-resolution ratio (~3), and non-optical techniques for whole-body imaging of small animals lack either spatiotemporal resolution or functional contrast. Here, we demonstrate that stand-alone single-impulse panoramic photoacoustic computed tomography (SIP-PACT) mitigates these limitations by combining high spatiotemporal resolution (125 μm in-plane resolution, 50 μs per frame data acquisition and 50 Hz frame rate), deep penetration (48 mm cross-sectional width in vivo), anatomical, dynamical and functional contrasts, and full-view fidelity. Using SIP-PACT, we imaged in vivo whole-body dynamics of small animals in real time and obtained clear sub-organ anatomical and functional details. We tracked unlabelled circulating melanoma cells and imaged the vasculature and functional connectivity of whole rat brains. SIP-PACT holds great potential for both preclinical imaging and clinical translation.

Citation Format(s)

Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. / Li, Lei; Zhu, Liren; Ma, Cheng; Lin, Li; Yao, Junjie; Wang, Lidai; Maslov, Konstantin; Zhang, Ruiying; Chen, Wanyi; Shi, Junhui; Wang, Lihong V.

In: Nature Biomedical Engineering, Vol. 1, No. 5, 0071, 10.05.2017.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review