Back matter

Acknowledgements

I am grateful to the researchers, standards communities, software maintainers, educators, and dataset curators whose public work makes careful study of medical imaging possible. Their papers, specifications, documentation, examples, and corrections provide the material against which explanations can be tested.

I also thank the readers who question an assumption, reproduce a small result, or point out where a sentence says more than its evidence allows. Such scrutiny is part of the subject of this book, not an interruption to it.

About the author

Adrian Tkacz is the author and editor of Imaging Evidence Path. The author’s role is to connect questions across software, data, imaging, quantitative methods, and clinical use, and to make the reasoning and sources inspectable. This describes the perspective of the book; it is not a claim that the author is an unquestionable authority in every field it touches. For a precise question, the relevant standard, primary source, or appropriately qualified domain expert remains the proper point of reference.

References and further reading

References are organized around the question a reader needs to answer rather than as a detached bibliography. When a chapter depends on a particular source, its public link is kept with the discussion or in the chapter’s reference material. The literature map is the public navigation layer for papers and broader reading: it groups sources by topic and points to stable identifiers and source pages. It is a way to find and compare reading, not a substitute for inspecting the cited work.

The standards and reference desk is the practical lookup layer for DICOM, physical image handling, segmentation, quantitative imaging, agreement and robustness, and research reporting. Its annotations explain when a standard, tool document, guideline, or paper is the right place to look. Use the normative standard for a normative technical question and the original paper for a claim about a study’s methods, results, or limitations. The courses and videos page collects external instruction that complements the book without becoming a second manuscript.

These public reference surfaces are part of the reading environment. They may gain links or corrections over time, while the manuscript remains the canonical place for the stable explanation.

AI assistance and verification

AI tools assisted substantially with drafting and restructuring this manuscript, locating and organizing material, critique and comparison, and detecting inconsistencies. AI output was never treated as evidence. It provided possible wordings, connections, and leads to check; it did not establish a fact, source identity, method, or result.

Consequential claims were intended to be traceable to inspectable sources, and verification and evidence quality were central priorities throughout the work. The author is not an unquestionable authority across every field discussed here. Errors may remain, including errors of interpretation, omission, or emphasis. When precision or current practice matters, readers should consult the relevant primary sources and standards directly.

The complete stable core is freely available on the Web before purchase. Any other edition is another rendering of the same canonical manuscript, offering a different reading form rather than restricting access to the core teaching content.

Platform and KDP declarations about AI-generated or AI-assisted content are a separate final publication-time check. This manuscript does not assert current platform requirements; those declarations are checked against the applicable official requirements at publication time.