Abstract: A method and system process a test signal in medical domain by:—acquiring an input digital signal F(t) as a function of time t in the form of two-dimensional data, said signal F(t) resulting from the excitation, within a test substrate, of a substance adapted to emit a signal in response to said excitation;—modeling said input digital signal F(t) in function of a pre-established model;—possibly, generating an output digital signal I(t) made up from said modeling; wherein said modeling is based on the following model: (formula I) where the coefficients a0, a1, a2, p, q, A and B are estimated on the basis of said two-dimensional data. The method and system are directed to the tumoral vascularization or tumoral angiogenesis detection in tumors.

Abstract: The invention relates to a method and system for processing a test signal in medical domain comprising following steps:—acquiring (110, 120, 130) an input digital signal F(t) function of time t in the form of two-dimensional data (t, F(t)), said signal F(t) resulting from the excitation, within a test substrate, of a substance adapted to emit a signal in response to said excitation;—modeling (140) said input digital signal F(t) in function of a pre-established model;—possibly, generating an output digital signal I(t) made up from said modeling; wherein said modeling is based on the following model: (formula I) where the coefficients a0, a1, a2, p, q, A et B are estimated on the basis of said two-dimensional data. The invention is directed to the tumoral vascularization or tumoral angiogenesis detection in tumors.

Abstract: A composition for ultrasonic exploration including echogenic microparticles including a macromolecular network of reticulated hydrophilic polymers and/or copolymers which micro-particles have a diameter between 0.1 ?m and 10 ?m and are obtained from an inverse mini-emulsion of identical or different monomers or polymers.

Abstract: The invention includes a real time spectral analysis of unsteady signals with complex values representatives of a physical phenomenon. Successive sections of a sample signal are modelled by a high order self-regressive process by estimating parameters characterizing the model by rapid Kalman filtering using an algorithm.