Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Wavelet-Based Signal Processing Techniques for Medical Image Fusion

Wavelet-Based Signal Processing Techniques for Medical Image Fusion

Ahmed, Saif
Omer, Zaid

Paperback

Technology & Engineering

ISBN10: 6630014103
ISBN13: 9786630014105
Publisher: LAP Lambert Academic Publishing
Published: May 28 2026
Pages: 104
Weight: 0.33
Height: 0.25 Width: 6.00 Depth: 9.00
Language: English
This book is about how wavelet-based signal processing can be used to fuse multiple medical images from different scanning technologies into one single, information-rich image that helps physical doctors make faster and more accurate diagnoses. It explains how tools like MRI, CT, PET, and Ultrasound each reveal different aspects of the human body. Still, none of them alone tells the complete clinical story, and how wavelet mathematics solves this by decomposing each image into frequency components, merging the most diagnostically valuable information from each source, and reconstructing one unified image that contains everything the physician needs to see. The book covers walks through the complete image fusion pipeline from preprocessing and registration through decomposition and fusion rules to final image reconstruction, and then applies these techniques to real clinical scenarios, including brain tumor detection, cardiac disease, Alzheimer's diagnosis, orthopedic injury, and cancer radiation planning. It also presents objective quality metrics like PSNR, SSIM, and Petrovec algorithm.

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