000 | 04140nam a22006017a 4500 | ||
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001 | sulb-eb0024719 | ||
003 | BD-SySUS | ||
005 | 20160413122453.0 | ||
007 | cr nn 008mamaa | ||
008 | 130531s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642364419 _9978-3-642-36441-9 |
||
024 | 7 |
_a10.1007/978-3-642-36441-9 _2doi |
|
050 | 4 | _aQC474-496.9 | |
050 | 4 | _aR895-920 | |
072 | 7 |
_aMMPH _2bicssc |
|
072 | 7 |
_aPNRL _2bicssc |
|
072 | 7 |
_aSCI058000 _2bisacsh |
|
082 | 0 | 4 |
_a610.153 _223 |
245 | 1 | 0 |
_a4D Modeling and Estimation of Respiratory Motion for Radiation Therapy _h[electronic resource] / _cedited by Jan Ehrhardt, Cristian Lorenz. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXX, 341 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aBiological and Medical Physics, Biomedical Engineering, _x1618-7210 |
|
505 | 0 | _a4D Image Acquisition -- Motion Estimation and Modeling -- Modeling of Motion Variability -- Applications of Motion Estimation Algorithms -- Outlook. | |
520 | _aRespiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper abdomen. The main objective of radiation therapy is to eradicate or shrink tumor cells without damaging the surrounding tissue by delivering a high radiation dose to the tumor region and a dose as low as possible to healthy organ tissues. Meeting this demand remains a challenge especially in case of lung tumors due to breathing-induced tumor and organ motion where motion amplitudes can measure up to several centimeters. Therefore, modeling of respiratory motion has become increasingly important in radiation therapy. With 4D imaging techniques spatiotemporal image sequences can be acquired to investigate dynamic processes in the patient’s body. Furthermore, image registration enables the estimation of the breathing-induced motion and the description of the temporal change in position and shape of the structures of interest by establishing the correspondence between images acquired at different phases of the breathing cycle. In radiation therapy these motion estimations are used to define accurate treatment margins, e.g. to calculate dose distributions and to develop prediction models for gated or robotic radiotherapy. In this book, the increasing role of image registration and motion estimation algorithms for the interpretation of complex 4D medical image sequences is illustrated. Different 4D CT image acquisition techniques and conceptually different motion estimation algorithms are presented. The clinical relevance is demonstrated by means of example applications which are related to the radiation therapy of thoracic and abdominal tumors. The state of the art and perspectives are shown by an insight into the current field of research. The book is addressed to biomedical engineers, medical physicists, researchers and physicians working in the fields of medical image analysis, radiology and radiation therapy. | ||
650 | 0 | _aPhysics. | |
650 | 0 | _aNuclear medicine. | |
650 | 0 |
_aRespiratory organs _xDiseases. |
|
650 | 0 | _aBiophysics. | |
650 | 0 | _aBiological physics. | |
650 | 0 | _aMedical physics. | |
650 | 0 | _aRadiation. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aPhysics. |
650 | 2 | 4 | _aMedical and Radiation Physics. |
650 | 2 | 4 | _aBiophysics and Biological Physics. |
650 | 2 | 4 | _aPneumology/Respiratory System. |
650 | 2 | 4 | _aBiomedical Engineering. |
650 | 2 | 4 | _aNuclear Medicine. |
700 | 1 |
_aEhrhardt, Jan. _eeditor. |
|
700 | 1 |
_aLorenz, Cristian. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642364402 |
830 | 0 |
_aBiological and Medical Physics, Biomedical Engineering, _x1618-7210 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-36441-9 |
912 | _aZDB-2-PHA | ||
942 |
_2Dewey Decimal Classification _ceBooks |
||
999 |
_c46811 _d46811 |