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.

In its first update in 10 years, this text describes the characterization of all modern infrared imaging systems.

The concept of photoacoustic tomography (PAT) emerged in the mid-1990s, and the field of PAT is now rapidly moving forward. Presenting the research of a well-respected pioneer and leading expert, Photoacoustic Tomography is a first-of-its-kind book covering the underlying principles and practical applications of PAT in a systematic manner. Written in a tutorial format, the text: Addresses the fundamentals of PAT, the theory on photoacoustic effect, image reconstruction methods, and instrumentation Details advanced methods for quantitative PAT, which allow the recovery of tissue optical absorption coefficient and/or acoustic properties Explores the development of several image-enhancing schemes, including both software and hardware approaches Examines array-based PAT systems that are the foundation for the realization of 2-D, 3-D, and 4-D PAT Discusses photoacoustic microscopy (PAM) and combinations of PAT/PAM with other imaging methods Considers contrast-agents-based molecular PAT, with both nontargeted and cell receptor–targeted methods Describes clinical applications and animal studies in breast cancer detection, osteoarthritis diagnosis, seizure localization, intravascular imaging, and image-guided cancer therapy Photoacoustic Tomography is an essential reference for graduate students, researchers, industry professionals, and those who wish to enter this exciting field.

This book provides knowledge of the basic theory, spectral analysis methods, chemometrics, instrumentation, and applications of near-infrared (NIR) spectroscopy—not as a handbook but rather as a sourcebook of NIR spectroscopy. Thus, some emphasis is placed on the description of basic knowledge that is important in learning and using NIR spectroscopy. The book also deals with applications for a variety of research fields that are very useful for a wide range of readers from graduate students to scientists and engineers in both academia and industry. For readers who are novices in NIR spectroscopy, this book provides a good introduction, and for those who already are familiar with the field it affords an excellent means of strengthening their knowledge about NIR spectroscopy and keeping abreast of recent developments.

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.