000			02267nam a22003855i 4500
001			u377085
003			SIRSI
005			20160812084445.0
007			cr nn 008mamaa
008			111122s2011 gw | s |||| 0|eng d
020			_a9783834886002 _9978-3-8348-8600-2
040			_cMX-MeUAM
050		4	_aR856-857
082	0	4	_a610.28 _223
100	1		_aHufnagel, Heike. _eauthor.
245	1	2	_aA Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis _h[recurso electrónico] / _cby Heike Hufnagel.
264		1	_aWiesbaden : _bVieweg+Teubner Verlag, _c2011.
300			_aXXIII, 147p. 53 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aIn medical image analysis, major areas such as radiotherapy, surgery planning, and quantitative diagnostics benefit from shape modeling to facilitate solutions to analysis, segmentation and reconstruction problems. Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmentation. Due to the particular attributes of the new model, the challenging integration of explicit and implicit representations can be done in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation. Evaluations are performed to depict the characteristics and strengths of the new model and segmentation method. The dissertation has received the Fokusfinder award 2011 by the Innovationsstiftung Schleswig-Holstein (ISH), the Basler AG and Philips Medical Systems.
650		0	_aEngineering.
650		0	_aBiomedical engineering.
650	1	4	_aEngineering.
650	2	4	_aBiomedical Engineering.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783834817228
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-8348-8600-2
596			_a19
942			_cLIBRO_ELEC
999			_c204965 _d204965