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Registration methods for pulmonary image analysis [electronic resource] : integration of morphological and physiological knowledge

Registration methods for pulmonary image analysis [electronic resource] : integration of morphological and physiological knowledge

Material type
E-Book(소장)
Personal Author
Schmidt-Richberg, Alexander.
Title Statement
Registration methods for pulmonary image analysis [electronic resource] : integration of morphological and physiological knowledge / Alexander Schmidt-Richberg.
Publication, Distribution, etc
Wiesbaden :   Springer Fachmedien Wiesbaden :   Imprint: Springer Vieweg,   2014.  
Physical Medium
1 online resource (xvi, 168 p.) : ill.
Series Statement
Aktuelle Forschung Medizintechnik ;7
ISBN
9783658016623
요약
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.   Contents Registration Segmentation Level Set Segmentation Motion Estimation Sliding Motion Integrated Registration and Segmentation Target Groups Researchers and students of medical informatics, medical imaging Radiologists, physicians The Author Alexander Schmidt-Richberg works as a research scientist with a focus on image registration and segmentation. He received his PhD at the Institute of Medical Informatics, University of Lübeck, Germany, in 2013. Currently, he is a member of the Biomedical Image Analysis Group, Imperial College London, UK.   Editors The series Aktuelle Forschung Medizintechnik is edited by Thorsten Buzug.
General Note
Title from e-Book title page.  
Bibliography, Etc. Note
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Lungs --Tomography. Image registration. Image analysis --Mathematical models. Lung --radiography. Four-Dimensional Computed Tomography --methods. Image Interpretation, Computer-Assisted. Models, Theoretical.
Short cut
URL
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007 cr
008 201005s2014 gw a ob 000 0 eng d
020 ▼a 9783658016623
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA75.5-76.95
082 0 4 ▼a 616.24075722 ▼2 23
084 ▼a 616.24075722 ▼2 DDCK
090 ▼a 616.24075722
100 1 ▼a Schmidt-Richberg, Alexander.
245 1 0 ▼a Registration methods for pulmonary image analysis ▼h [electronic resource] : ▼b integration of morphological and physiological knowledge / ▼c Alexander Schmidt-Richberg.
260 ▼a Wiesbaden : ▼b Springer Fachmedien Wiesbaden : ▼b Imprint: Springer Vieweg, ▼c 2014.
300 ▼a 1 online resource (xvi, 168 p.) : ▼b ill.
490 1 ▼a Aktuelle Forschung Medizintechnik ; ▼v 7
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
520 ▼a 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.   Contents Registration Segmentation Level Set Segmentation Motion Estimation Sliding Motion Integrated Registration and Segmentation Target Groups Researchers and students of medical informatics, medical imaging Radiologists, physicians The Author Alexander Schmidt-Richberg works as a research scientist with a focus on image registration and segmentation. He received his PhD at the Institute of Medical Informatics, University of Lübeck, Germany, in 2013. Currently, he is a member of the Biomedical Image Analysis Group, Imperial College London, UK.   Editors The series Aktuelle Forschung Medizintechnik is edited by Thorsten Buzug.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Lungs ▼x Tomography.
650 0 ▼a Image registration.
650 0 ▼a Image analysis ▼x Mathematical models.
650 1 2 ▼a Lung ▼x radiography.
650 2 2 ▼a Four-Dimensional Computed Tomography ▼x methods.
650 2 2 ▼a Image Interpretation, Computer-Assisted.
650 2 2 ▼a Models, Theoretical.
830 0 ▼a Aktuelle Forschung Medizintechnik ; ▼v 7.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-658-01662-3
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 616.24075722 Accession No. E14034851 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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