Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies 1

Data & IT

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Ayman S El-Baz • Rajendra Acharya U • Andrew F Laine • Jasjit S Suri

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368 sidor
2016

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.

Författare: Ayman S El-Baz, Rajendra Acharya U, Andrew F Laine, Jasjit S Suri
Illustratör: black and white X 20 Tables 368 p
Format: Pocket/Paperback
ISBN: 9781493941629
Språk: Engelska
Antal sidor: 368
Utgivningsdatum: 2016-08-23
Förlag: Springer-Verlag New York Inc.