Advanced Algorithmic Approaches to Medical Image Segmentation

Sameer Singh

ISBN 10: 1852333898 / ISBN 13: 9781852333898

Published by Springer London, Springer London Dez 2001, 2001

About this Item

Neuware -Medical imaging is an important topic which is generally recognised as key to better diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.This book focuses primarily on state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors based in both industry and academia and presents a host of new material including algorithms for: brain segmentation applied to MR; neuro-application using MR; parametric and geometric deformable models for brain segmentation; left ventricle segmentation and analysis using least squares and constrained least squares models for cardiac X-rays; left ventricle analysis in echocardioangiograms; breast lesion detection in digital mammograms;detection of cells in cell images.As an overview of the latest techniques, this book will be of particular interest to students and researchers in medical engineering, image processing, computer graphics, mathematical modelling and data analysis. It will also be of interest to researchers in the fields of mammography, cardiology, pathology and neurology.

Seller Inventory # 9781852333898

Bibliographic Details

• Title: Advanced Algorithmic Approaches to Medical Image Segmentation
• Publisher: Springer London, Springer London Dez 2001
• Publication Date: 2001
• Language: English
• ISBN 10: 1852333898
• ISBN 13: 9781852333898
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 46D millimeters 241 millimeters width by 160 millimeters height by 46 millimeters depth
• Weight: 1278 grams

About this title

Synopsis

Medical imaging is an important topic which is generally recognised as key to better diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.
This book focuses primarily on state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors based in both industry and academia and presents a host of new material including algorithms for:
- brain segmentation applied to MR;
- neuro-application using MR;
- parametric and geometric deformable models for brain segmentation;
- left ventricle segmentation and analysis using least squares and constrained least squares models for cardiac X-rays;
- left ventricle analysis in echocardioangiograms;
- breast lesion detection in digital mammograms;
detection of cells in cell images.
As an overview of the latest techniques, this book will be of particular interest to students and researchers in medical engineering, image processing, computer graphics, mathematical modelling and data analysis. It will also be of interest to researchers in the fields of mammography, cardiology, pathology and neurology.