Towards Patient-specific Electrical Impedance Tomography | Using 3D Thorax Models

Peter Salz

ISBN 10: 3838139615 / ISBN 13: 9783838139616

Published by Südwestdeutscher Verlag für Hochschulschriften, 2016

About this Item

Towards Patient-specific Electrical Impedance Tomography | Using 3D Thorax Models | Peter Salz | Taschenbuch | 208 S. | Englisch | 2016 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838139616 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 105043686

Bibliographic Details

• Title: Towards Patient-specific Electrical Impedance Tomography | Using 3D Thorax Models
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Publication Date: 2016
• Language: English
• ISBN 10: 3838139615
• ISBN 13: 9783838139616
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 328 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Mechanical ventilation of patients with severe lung injury is an important clinical treatment to ensure proper lung oxygenation and to mitigate the extent of collapsed lung regions. Electrical Impedance Tomography (EIT) is a novel method to determine functional processes inside the thorax such as lung ventilation and cardiac activity. Current EIT systems and algorithms use simplified or generalized thorax models to solve the reconstruction problem, which reduce image quality and anatomical significance. In this book, the development of a clinically relevant workflow to compute sophisticated three-dimensional thorax models from patient-specific CT data is described. The significantly improved image quality and anatomical precision of EIT images reconstructed with these 3D models is reported, and the impact on clinical applicability is discussed. The results presented in this book contribute significantly to clinical research efforts to pave the way towards improved patient-specific treatments of lung injury using EIT.

About the Author

Dr.-Ing. Peter Salz graduated from the University of Kaiserslautern in Computer Science, and pursued his doctorate at the Computer Graphics & HCI group in the field of visual computing in medicine. His research interests include medical image processing and visualisation, especially Electrical Impedance Tomography imaging of the lung.