Left Ventricular Wall Detection from MRI Scans using Random Walk (Paperback)

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Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field of segmentation and simultaneously, there is also an increased rate of inconsistency in discriminating objects in cardiac MR images due to increasing disease varieties; therefore, it has been a challenging topic of research since last two decades.

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Product Description

Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field of segmentation and simultaneously, there is also an increased rate of inconsistency in discriminating objects in cardiac MR images due to increasing disease varieties; therefore, it has been a challenging topic of research since last two decades.

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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

July 2012

Availability

Expected to ship within 10 - 15 working days

First published

July 2012

Authors

,

Dimensions

229 x 152 x 9mm (L x W x T)

Format

Paperback - Trade

Pages

156

ISBN-13

978-3-8443-1155-6

Barcode

9783844311556

Categories

LSN

3-8443-1155-6



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