Registration Methods for Pulmonary Image Analysis - Integration of Morphological and Physiological Knowledge

Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.

List of contents

Registration.- Segmentation.- Level Set Segmentation.- Motion Estimation.- Sliding Motion.- Integrated Registration and Segmentation .

About the author

Alexander Schmidt-Richberg works as a research scientist at the Institute of Medical Informatics, University of Lübeck, Germany, with a focus on image registration and segmentation. He holds a PhD in natural sciences.

Summary

Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.

Product details

• Authors: Alexander Schmidt-Richberg
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 28.02.2014
• EAN: 9783658016616
• ISBN: 978-3-658-01661-6
• No. of pages: 168
• Dimensions: 151 mm x 12 mm x 210 mm
• Weight: 254 g
• Illustrations: XVI, 168 p. 48 illus., 14 illus. in color.
• Series: Aktuelle Forschung Medizintechnik; Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering; Aktuelle Forschung Medizintechnik; Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering; Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; B, Medicine, Computeranwendungen in Industrie und Technologie, computer science, Computer Science, general, Health Informatics, Information technology: general issues, Medical equipment & techniques