Reprint
Photoacoustic Tomography (PAT)
Edited by
February 2021
152 pages
- ISBN978-3-03943-643-9 (Hardback)
- ISBN978-3-03943-644-6 (PDF)
This book is a reprint of the Special Issue Photoacoustic Tomography (PAT) that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
photoacoustic imaging; tomography; thermoacoustic; radio frequency; photoacoustic imaging; image quality assessment; image formation theory; image reconstruction techniques; sparsity; photoacoustic imaging; signal processing; deconvolution; empirical mode decomposition; signal deconvolution; photoacoustics; tissue characterization; absorption; Photoacoustic Computed Tomography (PACT); ring array; fast imaging; low cost; photoacoustic tomography; full-field detection; wave equation; final time inversion; uniqueness; stability; iterative reconstruction; 3D photoacoustic tomography; full-view illumination and ultrasound detection; photoacoustic coplanar; quartz bowl; photoacoustic imaging; correlation matrix filter; time reversal operator; photo-acoustic tomography; reflection artifacts; deep learning; convolutional neural network; time reversal; Landweber algorithm; U-net; optoacoustic imaging; photoacoustic tomography; respiratory gating; motion artifacts; full-ring illumination; diffused-beam illumination; point source illumination; ultrasound tomography (UST); photoacoustic tomography (PAT); n/a