Imaging of tissue blood flow (BF) distributions provides vital information for the diagnosis and therapeutic monitoring of various vascular diseases. The innovative near-infrared speckle contrast diffuse correlation tomography (scDCT) technique produces full 3D BF distributions. Many advanced features are provided over competing technologies including high sampling density, fast data acquisition, noninvasiveness, noncontact, affordability, portability, and translatability across varied subject sizes. The basic principle, instrumentation, and data analysis algorithms are presented in detail. The extensive applications are summarized such as imaging of cerebral BF (CBF) in mice, rat, and piglet animals with skull penetration into deep brain. Clinical human testing results are described by recovery of BF distributions on preterm infants (CBF) through incubator wall, and on sensitive burn tissues and mastectomy skin flaps without direct device-tissue interactions. Supporting activities outlined include integrated capability for acquiring surface curvature information, rapid 2D blood flow mapping, and optimizations via tissue-like phantoms and computer simulations. These applications and activities both highlight and guide the reader as to the expected abilities and limitations of scDCT for adapting into their own preclinical/clinical research, use in constrained environments (i.e., neonatal intensive care unit bedside), and use on vulnerable subjects and measurement sites.
Author(s): Daniel Irwin, Siavash Mazdeyasna, Chong Huang, Mehrana Mohtasebi, Xuhui Liu, Lei Chen, Guoqiang Yu
Publisher: CRC Press
Year: 2022
Language: English
Pages: 65
City: Boca Raton
Cover
Half Title
Title Page
Copyright Page
Table of Contents
Acknowledgments or Credits List
Authors
1 Introduction
Significance of Blood Flow Imaging
Technologies for Blood Flow Imaging
History of scDCT Development
References
2 scDCT Methods
Principle
Instrumentation
Boundary Data Collection
Image Reconstruction
References
3 scDCT Validations and Applications
Testing and Validating in Standard Phantoms and Computer Simulations
Proof-of-Concept Validation
Full Noncontact Validation and Optimal SD Separations for Larger ROI
Optimal SD Separations When Using Iris Diaphragm for Smaller ROI
Optimal SD Separations Using sCMOS Camera
Validation of PST for Arbitrary Surface Geometry Acquisition
Validation on Human Infant Skulls
Application 1: Imaging of Brains
Assessing CBF in a Mouse
Assessing CBF in Rats
Neonatal Piglet CBF Recovery
Noninvasive Monitoring of Human Infant CBF
Application 2: Imaging of Burn/Wound Tissues
Application 3: Imaging of Mastectomy Skin Flaps
Recovery of Blood Flow Distributions during Mastectomy Reconstruction Surgery
Incorporating Measured Surface Curvatures by PST
Comparing scDCT and FA Imaging Equivalence for Judging Mastectomy Skin Flap Status
References
4 Summary and Future Perspectives
References
Index