Medical Image and Signal Analysis in Brain Research

Medical Image and Signal Analysis in Brain Research by Chi-Wen Jao and Yu-Te Wu

Grasp the cutting edge of neuroscience with a practical, expertly written guide that brings together medical imaging and signal processing for real-world brain research. This book immediately draws attention with clear explanations and up-to-date approaches tailored for researchers, clinicians, and biomedical engineers.

Inside, you’ll find concise, accessible coverage of multimodal neuroimaging and electrophysiological signal analysis—covering MRI, fMRI, EEG, and related techniques—explaining how to preprocess data, extract meaningful features, and interpret results for clinical and research settings. Emphasis on robust signal-processing workflows, artifact reduction, time–frequency methods, and functional connectivity makes complex topics approachable without sacrificing rigor.

Whether you’re developing diagnostic tools, running a neuroscience lab, or translating imaging findings into patient care, this title shows you why these methods matter and how to apply them. Realistic examples and clear rationale help you connect methodology to outcomes, making it easier to design experiments, validate biomarkers, and improve diagnostic accuracy.

Ideal for an international audience—from academic institutions to hospital departments—this book supports multidisciplinary teams working on brain disorders, cognitive neuroscience, and neuroengineering projects. Its professional tone, practical focus, and relevance to current research trends make it a must-have reference.

Advance your brain research toolkit today: add Medical Image and Signal Analysis in Brain Research by Chi-Wen Jao and Yu-Te Wu to your collection and stay at the forefront of medical imaging and signal analysis.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.