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Medical Image Registration: a Review

Francisco P. M. Oliveira; João Manuel R. S. Tavares

This paper presents a review of automated image registration methodologies that have been used in the medical field. The aim of this paper is to be an introduction to the field, provide knowledge on the work that has been developed and to be a suitable reference for those who are looking for registration methods for a specific application. The registration methodologies under review are classified into intensit...


A robust computational solution for automated quantification of a specific bind...

Francisco P.M. Oliveira; Diogo Borges Faria; Durval Campos Costa; João Manuel R. S. Tavares

Aim The purpose of the current paper is to present a computational solution to accurately quantify a specific to a non-specific uptake ratio in [123I] FP-CIT single photon emission computed tomography (SPECT) images and simultaneously measure the spatial dimensions of the basal ganglia, also known as basal nuclei. A statistical analysis based on a reference dataset selected by the user is also automatically per...


Automated segmentation of the incus and malleus ossicles in conventional tri-di...

Francisco P. M. Oliveira; Diogo Borges Faria; João Manuel R. S. Tavares

This paper proposes a fully automated computational solution to segment the incus and malleus ear ossicles in conventional tri-dimensional (3D) X-ray computed tomography (CT) images. The solution uses a registration-based segmentation paradigm, followed by image segmentation refinement. It was tested against a dataset comprising 21 CT volumetric images of the ear acquired using standard protocols and with resol...


Enhanced Spatio-Temporal Alignment of Plantar Pressure Image Sequences using B-...

Francisco P. M. Oliveira; João Manuel R. S. Tavares

This paper presents an enhanced methodology to align plantar pressure image sequences simultaneously in time and space. The temporal alignment of the sequences is accomplished by using B-splines in the time modeling, and the spatial alignment can be attained by using several geometric transformation models. The methodology was tested on a dataset of 156 real plantar pressure image sequences (3 sequences for eac...


Automated spatio-temporal alignment of plantar pressure image sequences

Francisco P. M. Oliveira; João Manuel R. S. Tavares

The analysis of plantar pressure data provides information on the role of the foot and ankle during gait and other activities. The information gather can be used to define suitable rehabilitation programs through alterations of footwear, foot orthoses, exercise programs and weight-bearing restrictions. It can also assist the diagnosis and rehabilitation of impairments associated with various musculoskeletal, in...


Spatio-Temporal Registration of Plantar Pressure Image Sequences

Francisco P. M. Oliveira; Carolina S. D. Tábuas; Pedro N. S. Gomes; João Manuel R. S. Tavares


Building of a Representative Plantar Pressure Image Sequence

Pedro N. S. Gomes; Francisco P. M. Oliveira; João Manuel R. S. Tavares



Alignment of Plantar Pressure Image Sequences

Pedro N. S. Gomes; Francisco P. M. Oliveira; João Manuel R. S. Tavares


Quantificação em estudos SPECT com 123I-FP-CIT – influência do método de ...

Diogo Borges Faria; Francisco P.M. Oliveira; João Manuel R. S. Tavares; Durval C. Costa


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    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia