Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
1.
Sensors (Basel) ; 8(9): 5897-5926, 2008 Sep 24.
Artículo en Inglés | MEDLINE | ID: mdl-27873848

RESUMEN

In surgical knee replacement, the damaged knee joint is replaced with artificial prostheses. An accurate clinical evaluation must be carried out before applying knee prostheses to ensure optimal outcome from surgical operations and to reduce the probability of having long-term problems. Useful information can be inferred from estimates of the stress acting onto the bone-prosthesis system of the knee joint. This information can be exploited to tailor the prosthesis to the patient's anatomy. We present a compound system for pre-operative surgical planning based on structural simulation of the bone-prosthesis system, exploiting patient-specific data.

2.
IEEE Trans Image Process ; 13(11): 1419-23, 2004 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-15540451

RESUMEN

The efficiency of lossless compression algorithms for fixed-palette images (indexed images) may change if a different indexing scheme is adopted. Many lossless compression algorithms adopt a differential-predictive approach. Hence, if the spatial distribution of the indexes over the image is smooth, greater compression ratios may be obtained. Because of this, finding an indexing scheme that realizes such a smooth distribution is a relevant issue. Obtaining an optimal re-indexing scheme is suspected to be a hard problem and only approximate solutions have been provided in literature. In this paper, we restate the re-indexing problem as a graph optimization problem: an optimal re-indexing corresponds to the heaviest Hamiltonian path in a weighted graph. It follows that any algorithm which finds a good approximate solution to this graph-theoretical problem also provides a good re-indexing. We propose a simple and easy-to-implement approximation algorithm to find such a path. The proposed technique compares favorably with most of the algorithms proposed in literature, both in terms of computational complexity and of compression ratio.


Asunto(s)
Algoritmos , Color , Gráficos por Computador , Compresión de Datos/métodos , Aumento de la Imagen/métodos , Interpretación de Imagen Asistida por Computador/métodos , Reconocimiento de Normas Patrones Automatizadas/métodos , Inteligencia Artificial , Análisis por Conglomerados , Hipermedia , Análisis Numérico Asistido por Computador , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Procesamiento de Señales Asistido por Computador
3.
Artículo en Inglés | MEDLINE | ID: mdl-17354961

RESUMEN

A new method is proposed to unambiguously define a geometric partitioning of 3D models of female thorax. A breast partitioning scheme is derived from simple geometric primitives and well-defined anatomical points. Relevant measurements can be extrapolated from breast partition. Our method has been tested on a number of breast 3D models acquired by means of a commercial scanner on real clinical cases.


Asunto(s)
Mama/anatomía & histología , Mama/cirugía , Interpretación de Imagen Asistida por Computador/métodos , Imagenología Tridimensional/métodos , Mamoplastia/métodos , Evaluación de Resultado en la Atención de Salud/métodos , Cirugía Asistida por Computador/métodos , Algoritmos , Inteligencia Artificial , Femenino , Humanos , Aumento de la Imagen/métodos , Reconocimiento de Normas Patrones Automatizadas/métodos , Pronóstico , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Resultado del Tratamiento
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA