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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Registration Methods for Pulmonary Image Analysis: Integration of Morphological and Physiological Knowledge

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

Schmidt-Richberg, Alexander

Paperback

Series: Aktuelle Forschung Medizintechnik - Latest Research in Medic

Medical ReferenceGeneral Computers

ISBN10: 3658016612
ISBN13: 9783658016616
Publisher: Springer Vieweg
Published: Feb 12 2014
Pages: 168
Weight: 0.51
Height: 0.40 Width: 5.83 Depth: 8.27
Language: English

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.

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