Award for presentation at the Spring-Summer Meeting 2017 of Multiple Sclerosis Study Group

Team of researchers from LaSEEB was awarded the prize of Best Oral Presentation at the Spring-Summer Meeting 2017 of GEEM (Grupo de Estudo de Esclerose Múltipla) – Sociedade Portuguesa de Neurologia. The meeting was held in Figueira da Foz, May 26 and 27.
R. Simões, A.F. Ladeira, M. Veloso, R. Gonçalves, J. Graça, P. Figueiredo, R. Nunes, “QUANTEMTOOL – Ferramenta de Análise Quantitativa por Ressonância Magnética no Estudo da Esclerose Múltipla”. 
The work was developed during Rafael Simoes’s (Biomedical Engineer) Master Thesis, under supervision of Prof. Rita Nunes and Dr. Joana Graça from Hospital Egas Moniz.

Janssen Neuroscience RWE Award 2017 – 2º Prize

Team of researchers from LaSEEB and Hospital de Santa Maria were awarded the Janssen Neuroscience RWE Award 2017 – 2º Prize, in the category “Séries Clínicas”.
M. Tavares, S. Reimão, I. Chendo, R.G. Nunes, “Neuromelanin Magnetic Resonance Imaging of the Substantia Nigra in First Episode Psychosis Patients with Psychotropic Drugs Consumption”.
The work was developed under the scope of Marta Tavares (Biomedical Engineer) Master Thesis. The award delivery took place at the Janssen Neuroscience Forum, 6th May 2017, PT Meeting Center, FIL, in Lisboa.

Seminar – 7 March 2017

Image guided adaptive radiotherapy:

real-time tumor motion monitoring and deformable image registration


Hugo Furtado

Medical University of Vienna

7 March 2017, 15h00, ISR Meeting Room

Hugo Furtado graduated with an MSC in Electrical Engineering at the Instituto Superior Tecnico – Technical University of Lisbon in 1999 and completed his PhD at the Josef Stefan International Postgraduate School in Ljubljana in 2010 as part of the Marie Curie EC project ARIS*ER – Augmented Reality in Surgery. Before that, he worked in the industry as an IT consultant and as a test engineer at CERN, Switzerland designing hard- and software for production testing of radiation tolerant ASICs. His current research interests are in medical image processing with special focus on applications to radiotherapy. He is currently a post-doc researcher at the Medical University of Vienna working on real-time tumor motion monitoring and deformable image registration.

Seminar – 6 March 2017

EEG phenomena: hot topics of the last decade; frequently asked questions


Fernando Lopes da Silva

Emeritus Professor

Centre of Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam

Department of Bioengineering, Instituto Superior Técnico, University of Lisbon

Monday 6 March 2017, 17h00, ISR Meeting Room


Seminar – 7 February 2017

Statistical Characterization of Noise for Spatial Standardization of CT scans:

Enabling comparison with Multiple Kernels and Doses


Gonzalo Vega

Advanced M+VISION Fellow at Brigham and Women’s Hospital and Research Associate at Harvard Medical School (Boston, MA, USA)

Tuesday, February 7th, 14h30

ISR meeting room

Abstract: Computerized tomography (CT) is a widely adopted modality for analyzing directly or indirectly functional, biological and morphological processes by means of the image characteristics. However, the potential utilization of the information obtained from CT images is often limited when considering the analysis of quantitative information involving different devices, acquisition protocols or reconstruction algorithms. Although CT scanners are calibrated as a part of the imaging workflow, the calibration is circumscribed to global reference values and does not circumvent problems that are inherent to the imaging modality. One of them is the lack of noise stationarity, which makes quantitative biomarkers extracted from the images less robust and stable. Some methodologies have been proposed for the assessment of non-stationary noise in reconstructed CT scans. However, those methods focused on the non-stationarity only due to the reconstruction geometry and are mainly based on the propagation of the variance of noise throughout the whole reconstruction process. Additionally, the philosophy followed in the state-of-the-art methods is based on the reduction of noise, but not in the standardization of it. This means that, even if the noise is reduced, the statistics of the signal remain non-stationary, which is insufficient to enable comparisons between different acquisitions with di different statistical characteristics. In this presentation, we introduce a statistical characterization of noise in reconstructed CT scans that leads to a versatile statistical model that effectively characterizes different doses, reconstruction kernels, and devices. The statistical model is generalized to deal with the partial volume effect via a localized mixture model that also describes the non-stationarity of noise. Finally, we propose a stabilization scheme to achieve stationary variance. The validation of the proposed methodology was performed with a physical phantom and clinical CT scans acquired with different configurations (kernels, doses, algorithms including iterative reconstruction). The results confirmed its suitability to enable comparisons with di different doses, and acquisition protocols.

Best Poster Award – Janir Ramos da Cruz

Our PhD Student Janir Ramos da Cruz won Best Poster Award at 2nd Meeting of the PhD students from the Mind-Brain College of the University of Lisbon.

Congrats Janir!

The meeting program included presentations from the PhD students, either oral or poster communications, a debate about students formation, a discussion about open access policies and  3 amazing keynote speakers: Prof. Richard Morris, Prof. Bjoern Brembs and Prof. Manuela Veloso.

The event took place on the 28-29th of November 2016.

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