A Pattern-Theoretic Characterization of Biological Growth

Mathematical and statistical modeling of biological growth is an important problem in medical diagnostics. Here, we seek tools to analyze changes in anatomical parts using images collected over time. We introduce a structured model, called Growth by Random Iterated Diffeomorphisms (GRID), that treat...

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Veröffentlicht in:	IEEE transactions on medical imaging 2007-05, Vol.26 (5), p.648-659
Hauptverfasser:	Grenander, U., Srivastava, A., Saini, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Biological system modeling Brain - anatomy & histology Brain - growth & development Computer Simulation Deformable models Geometry Growth - physiology Growth dynamics growth models growth patterns Image analysis Mathematical model Models, Biological Models, Statistical Morphogenesis - physiology Neoplasms Pixel random diffeomorphism Rats Shape measurement Statistics Studies
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