Back to results
Cover image for book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

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

Volume II
By:Ayman S. ElBaz; ‎Rajendra Acharya U; ‎Andrew F. Laine
Publisher:Springer Nature
Print ISBN:9781441982032
eText ISBN:9781441982049
Edition:1
Copyright:2011
Format:Reflowable

eBook Features

Instant Access

Purchase and read your book immediately

Read Offline

Access your eTextbook anytime and anywhere

Study Tools

Built-in study tools like highlights and more

Read Aloud

Listen and follow along as Bookshelf reads to you

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.