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With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.
This volume investigates the cutting-edge methodologies in multi-modality medical image segmentation and registration, crucial for advancements in image-guided surgery. The book addresses the critical role of these techniques in quantifying and delineating organs across various imaging modalities such as MRI, CT, X-ray, PET, SPECT, Ultrasound, and Molecular imaging. It highlights how sophisticated segmentation algorithms enhance diagnostic accuracy and treatment planning. The focus is on presenting the state-of-the-art in these rapidly evolving fields.
This volume is positioned as a technical resource for researchers and practitioners in medical imaging and image-guided surgery. The content focuses on the technical advancements and methodologies within segmentation and registration, suggesting a readership seeking detailed, state-of-the-art information. The emphasis on multi-modality approaches indicates a forward-looking perspective on integrating diverse imaging data for clinical applications. The book likely serves as a valuable reference for those involved in developing or utilizing advanced medical imaging software and systems.
Page Count:
368
Publication Date:
2011-07-14
Publisher:
Springer New York
ISBN-10:
1441982051
ISBN-13:
9781441982056
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