000 04016nam a22005175i 4500
001 978-0-387-73299-2
003 DE-He213
005 20161121231207.0
007 cr nn 008mamaa
008 100301s2008 xxu| s |||| 0|eng d
020 _a9780387732992
_9978-0-387-73299-2
024 7 _a10.1007/978-0-387-73299-2
_2doi
050 4 _aR1
072 7 _aMB
_2bicssc
072 7 _aMED000000
_2bisacsh
082 0 4 _a610
_223
245 1 0 _aOptimization in Medicine
_h[electronic resource] /
_cedited by Carlos J. S. Alves, Panos M. Pardalos, Luis Nunes Vicente.
264 1 _aNew York, NY :
_bSpringer New York,
_c2008.
300 _aX, 195 p. 60 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v12
505 0 _aThe influence of dose grid resolution on beam selection strategies in radiotherapy treatment design -- Decomposition of matrices and static multileaf collimators: a survey -- Neuro-dynamic programming for fractionated radiotherapy planning -- Randomized algorithms for mixed matching and covering in hypergraphs in 3D seed reconstruction in brachytherapy -- Global optimization and spatial synchronization changes prior to epileptic seizures -- Optimization-based predictive models in medicine and biology -- Optimal reconstruction kernels in medical imaging -- Optimal control in high intensity focused ultrasound surgery.
520 _aOptimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization.
650 0 _aMedicine.
650 0 _aRadiology.
650 0 _aMathematical optimization.
650 0 _aCalculus of variations.
650 1 4 _aMedicine & Public Health.
650 2 4 _aMedicine/Public Health, general.
650 2 4 _aOptimization.
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
650 2 4 _aImaging / Radiology.
700 1 _aAlves, Carlos J. S.
_eeditor.
700 1 _aPardalos, Panos M.
_eeditor.
700 1 _aVicente, Luis Nunes.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387732985
830 0 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v12
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-73299-2
912 _aZDB-2-SMA
950 _aMathematics and Statistics (Springer-11649)
999 _c509939
_d509939