000			03151nam a22004335i 4500
001			978-3-658-01662-3
003			DE-He213
005			20140220082523.0
007			cr nn 008mamaa
008			140128s2014 gw | s |||| 0|eng d
020			_a9783658016623 _9978-3-658-01662-3
024	7		_a10.1007/978-3-658-01662-3 _2doi
050		4	_aQA75.5-76.95
072		7	_aUY _2bicssc
072		7	_aCOM014000 _2bisacsh
082	0	4	_a004 _223
100	1		_aSchmidt-Richberg, Alexander. _eauthor.
245	1	0	_aRegistration Methods for Pulmonary Image Analysis _h[electronic resource] : _bIntegration of Morphological and Physiological Knowledge / _cby Alexander Schmidt-Richberg.
264		1	_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2014.
300			_aXVI, 168 p. 48 illus., 14 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAktuelle Forschung Medizintechnik
520			_aVarious 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.
650		0	_aComputer science.
650		0	_aMedical records _xData processing.
650	1	4	_aComputer Science.
650	2	4	_aComputer Science, general.
650	2	4	_aHealth Informatics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783658016616
830		0	_aAktuelle Forschung Medizintechnik
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-658-01662-3
912			_aZDB-2-SME
999			_c93572 _d93572