Quantification of microarchitecture bone junctions based on a dual tree M-band wavelet decomposition.

Osteoporosis shows itself both in a reduction of the bone mass and a degradation of the microarchitecture of the bone tissue. To this respect, radiographies of the calcaneus are used to analyze both the texture and the structure of the bone thanks to sophisticated image processing tools. In this paper, we propose a method for evaluating the number of junctions in the imaged microarchitecture.

Distributed intelligent medical assistant for osteoporosis detection.

This paper describes a distributed knowledge-based system managing medical image processing programs to assist physicians in establishing image analysis protocols. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians who are not experts in computing to efficiently use various osteoporosis detection programs in a distributed environment.

The benefit of a kernel estimate based forward projection for iterative tomographic reconstruction techniques.

X-ray forward and backward projections are major steps in all iterative tomographic reconstruction techniques. To ensure the quality of the reconstruction results, the projector should fit the imaging system geometry and the x-ray physic as well as possible. In this paper, we intend to show the benefit of our proposed kernel estimate based forward projection for iterative tomographic reconstruction techniques, such as Algebraic Reconstruction Techniques (ART).