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Registration Methods for Pulmonary Image Analysis is written by Alexander Schmidt-Richberg and published by Springer Science & Business Media. It's available with International Standard Book Number or ISBN identification 3658016620 (ISBN 10) and 9783658016623 (ISBN 13).
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.