Bibliographic record
Abstract
Abstract Biomedical ultrasonics is inherently interdisciplinary, involving mechanics, electrical engineering, physics, biology, and medicine. As such, it can be an extraordinarily difficult subject to cover in one book. Drawn from years of class notes, student interaction and personal experience, Foundations of Biomedical Ultrasound does just that. It covers the fundamental engineering behind ultrasound equipment, properties of acoustic wave motion, the behaviour of waves in various media, non-linear waves and the creation of images. The most comprehensive book on the subject, Foundations of Biomedical Ultrasound is an indispensible reference for any medical professional working with ultrasound imaging, and a comprehensive introduction to the subject for students. The book consists of ten chapters that bridge the spectrum from the fundamental properties of wave propagation through to clinical systems. The first four chapters describe linear and nonlinear propagation, and methods for calculating the field produced by transducers of various designs. A number of problems designed to test the reader's understanding, well-suited for formal class assignments, accompany these chapters. The topics of ultrasound scattering, and transducer design are addressed in chapters 5 and 6. The final four chapters addess methods of imaging and flow measurement. Some 350 drawings, graphs, sketches and colour images have been used. These, together with many tables, have been used to illustrate the various topics covered; a substantial portion of which are appearing for the first time in print.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.022 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".