Kayvan Najarian, Ph.D., is Associate Professor of Computer Science, and Director of the VCU Biomedical Signal and Image Processing Engineering Center within the Department of Computer Science at Virginia Commonwealth University, in Richmond, Virginia.

"This is a great book, ideal for a biomedical signal and image processing course…. a great introduction to the topic, while it also includes advanced topics in the field for graduate courses. … a great collection of topics [including] introduction to signal and image processing, advanced signal processing techniques, physiology and specific signal processing techniques used for various biomedical signals, an introduction to medical image formation, and advanced topics on medical image processing. This is a great book, highly recommended to any research and educator in this field."—Purang Abolmaesumi, Department of Electrical Engineering, University of British Columbia, Vancouver, Canada"I am not aware of a book that covers both biomedical image processing and biomedical signal processing. There are a large number of books that focus on the physics of biomedical imaging. This book however, balances the coverage of physics of biomedical imaging with biomedical image processing. … I was impressed by how clearly the concepts are explained. The authors’ ability to introduce concepts at the level appropriate for senior undergraduate or graduate level students is impressive. … programming questions at the end of the chapter that will give the reader the opportunity to try out the signal processing techniques introduced in the chapter. Also, sample signals are included on the accompanying CD. … I would definitely use this book as my textbook in a biomedical signal-processing course."—Shahram Shirani, McMaster University, Hamilton, Ontario, Canada"… an excellent bridge between the physiological significance of the methods, and the underlying mathematics. … covers a broad range of biomedical problems. … clear, well written, and easy to follow. … this is an excellent course textbook, and also an excellent reference book for professionals."—Dr. Kristian Sandberg, Computational Solutions, Inc., Boulder, Colorado, USA

• Introduction To Digital Signal And Image Processing: Signals and Biomedical Signal Processing. Fourier Transform. Image Filtering, Enhancement, and Restoration. Edge Detection and Segmentation of Images. Wavelet Transform. Other Signal and Image Processing Methods. Clustering and Classification. Processing Of Biomedical Signals: Electrical Activities of Cell. Electrocardiogram. Electroencephalogram. Electromyogram. Other Biomedical Signals. Processing Of Biomedical Images: Principles of Computed Tomography. X-Ray Imaging and Computed Tomography. Magnetic Resonance Imaging. Ultrasound Imaging. Positron Emission Tomography. Other Biomedical Imaging Techniques. Related Titles.

Kayvan Najarian, Ph.D., is Associate Professor of Computer Science, and Director of the VCU Biomedical Signal and Image Processing Engineering Center within the Department of Computer Science at Virginia Commonwealth University, in Richmond, Virginia.

"This is a great book, ideal for a biomedical signal and image processing course…. a great introduction to the topic, while it also includes advanced topics in the field for graduate courses. … a great collection of topics [including] introduction to signal and image processing, advanced signal processing techniques, physiology and specific signal processing techniques used for various biomedical signals, an introduction to medical image formation, and advanced topics on medical image processing. This is a great book, highly recommended to any research and educator in this field."—Purang Abolmaesumi, Department of Electrical Engineering, University of British Columbia, Vancouver, Canada"I am not aware of a book that covers both biomedical image processing and biomedical signal processing. There are a large number of books that focus on the physics of biomedical imaging. This book however, balances the coverage of physics of biomedical imaging with biomedical image processing. … I was impressed by how clearly the concepts are explained. The authors’ ability to introduce concepts at the level appropriate for senior undergraduate or graduate level students is impressive. … programming questions at the end of the chapter that will give the reader the opportunity to try out the signal processing techniques introduced in the chapter. Also, sample signals are included on the accompanying CD. … I would definitely use this book as my textbook in a biomedical signal-processing course."—Shahram Shirani, McMaster University, Hamilton, Ontario, Canada"… an excellent bridge between the physiological significance of the methods, and the underlying mathematics. … covers a broad range of biomedical problems. … clear, well written, and easy to follow. … this is an excellent course textbook, and also an excellent reference book for professionals."—Dr. Kristian Sandberg, Computational Solutions, Inc., Boulder, Colorado, USA

• Introduction To Digital Signal And Image Processing: Signals and Biomedical Signal Processing. Fourier Transform. Image Filtering, Enhancement, and Restoration. Edge Detection and Segmentation of Images. Wavelet Transform. Other Signal and Image Processing Methods. Clustering and Classification. Processing Of Biomedical Signals: Electrical Activities of Cell. Electrocardiogram. Electroencephalogram. Electromyogram. Other Biomedical Signals. Processing Of Biomedical Images: Principles of Computed Tomography. X-Ray Imaging and Computed Tomography. Magnetic Resonance Imaging. Ultrasound Imaging. Positron Emission Tomography. Other Biomedical Imaging Techniques. Related Titles.

Kayvan Najarian, Ph.D., is Associate Professor of Computer Science, and Director of the VCU Biomedical Signal and Image Processing Engineering Center within the Department of Computer Science at Virginia Commonwealth University, in Richmond, Virginia.

"This is a great book, ideal for a biomedical signal and image processing course…. a great introduction to the topic, while it also includes advanced topics in the field for graduate courses. … a great collection of topics [including] introduction to signal and image processing, advanced signal processing techniques, physiology and specific signal processing techniques used for various biomedical signals, an introduction to medical image formation, and advanced topics on medical image processing. This is a great book, highly recommended to any research and educator in this field."—Purang Abolmaesumi, Department of Electrical Engineering, University of British Columbia, Vancouver, Canada"I am not aware of a book that covers both biomedical image processing and biomedical signal processing. There are a large number of books that focus on the physics of biomedical imaging. This book however, balances the coverage of physics of biomedical imaging with biomedical image processing. … I was impressed by how clearly the concepts are explained. The authors’ ability to introduce concepts at the level appropriate for senior undergraduate or graduate level students is impressive. … programming questions at the end of the chapter that will give the reader the opportunity to try out the signal processing techniques introduced in the chapter. Also, sample signals are included on the accompanying CD. … I would definitely use this book as my textbook in a biomedical signal-processing course."—Shahram Shirani, McMaster University, Hamilton, Ontario, Canada"… an excellent bridge between the physiological significance of the methods, and the underlying mathematics. … covers a broad range of biomedical problems. … clear, well written, and easy to follow. … this is an excellent course textbook, and also an excellent reference book for professionals."—Dr. Kristian Sandberg, Computational Solutions, Inc., Boulder, Colorado, USA

• Introduction To Digital Signal And Image Processing: Signals and Biomedical Signal Processing. Fourier Transform. Image Filtering, Enhancement, and Restoration. Edge Detection and Segmentation of Images. Wavelet Transform. Other Signal and Image Processing Methods. Clustering and Classification. Processing Of Biomedical Signals: Electrical Activities of Cell. Electrocardiogram. Electroencephalogram. Electromyogram. Other Biomedical Signals. Processing Of Biomedical Images: Principles of Computed Tomography. X-Ray Imaging and Computed Tomography. Magnetic Resonance Imaging. Ultrasound Imaging. Positron Emission Tomography. Other Biomedical Imaging Techniques. Related Titles.