The main objective of the Image Processing Laboratory (LPI) is to develop computational tools that serve as decision-making aids, especially in clinical settings. To this end, the LPI carries out a intense work in the field of signal and image processing, having made relevant contributions in fields like probabilistic image modeling, fuzzy methods for information processing, and neural networks.

It also has relevant connections both with local agents (hospitals in the region), national (the LPI participates

in a Thematic Network of the Health Research Fund), European (the LPI is a member of a Network of Excellence of the

VI Framework Program) and American (the LPI has formal connections with the Harvard Radiology Department

Medical School).

The group's objectives can be broken down into:

a) Promote the incorporation of new technologies in hospital services, with emphasis on

new modalities of medical imaging.

b) Contribute to the development of the disciplines of signal and image processing, both at the

extension of such doctrinal bodies, such as development and improvement of their applications.

c) Contribute to international image standards.

• Tensor image processing: regularization of tensor fields and representation of tensors. Application to diffusion-enhanced magnetic resonance imaging

• Medical informatics: application development and hospital integration

• Registered medical imaging: applications to multimodal processing and decision making

• Communications applications of evolutionary signal processing techniques. Bayesian receptors. Multi-user detection

• Processing of uni and N-dimensional signals. Applications to medical diagnosis and telecommunications

• Neural and fuzzy methods for data processing

• Ultrasound image processing: filtering, segmentation, three-dimensional reconstruction, nagevation by virtual models.

• Surgical simulation: development of laparoscopic surgery applications