Diagnostic and Therapeutic Imaging

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SJD Barcelona Children's Hospital

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The main thrust of the research of the Diagnostic and Therapeutic Imaging group is patient-oriented. The primary objectives are: 1) to identify imaging diagnostic or prognostic biomarkers, and 2) to develop and implement new image-based technologies. The latter includes the development of new techniques and improvements in the detection of injuries (artificial intelligence), safety and quality (radiation protection, interventional radiology) or innovative methodologies (development of own calibration models or virtual or printed 3D segmentation).

In addition to investigating these different lines of research, we also offer support to scientific projects of other IRSJD or external groups relating, for example, to imaging design, acquisition and analysis.

Research lines

  1. Vascular disease, focused mainly on examining the progression of morpho-functional aspects as well as the identification of new prognostic biomarkers of neonatal cerebrovascular injury.
  2. Hearing defects, aimed at identifying new biomarkers and elucidating the responsible structural bases.
  3. Biomarkers of sarcoma treatment response, with the validation of new biomarkers and multiparametric techniques.
  4. Development of tools and procedures for the optimisation of imaging techniques.

Scientific objectives

  1. To develop standardised population models for different imaging markers by implementing post-process tools that would allow patients to be compared against standardised models (morphometry techniques, connectivity and tissue characterisation, etc.).
  2. To develop and validate paediatric vascular imaging biomarkers for population-based disease-progression studies, as well as for the diagnosis and monitoring of diseases of possible cerebrovascular origin.
  3. To develop biomarkers based on diffusion techniques for soft tissue solid tumours (sarcomas).
  4. To develop biomarkers for the study of imaging factors involved in both childhood developmental and hearing disorders.
  5. To develop prognostic imaging indicators of developmental impairment and neurodegenerative diseases.
  6. To develop a radiological decision support tool based on artificial intelligence algorithms for the detection and classification of different types of lesions on a basic chest x-ray.
  7. To develop strategies to minimise anaesthesia and acquisition time in young paediatric patients, and patients with behavioural disorders or with medical implants.

Area/Field of expertise

The research carried out by our group is part of the study and applicability of diagnostic imaging techniques (basic or contrast radiology, ultrasound, magnetic resonance imaging [MRI], computed tomography [CT] or their combinations with nuclear medicine). We would like to draw special attention to advanced techniques (multiparametric MRI, diffusion-tensor imaging, functional MRI) and the development of new imaging areas of research (3D planning, radiation dose management, artificial intelligence, etc.).

We are a group of radiologists and imaging technicians who provide a comprehensive approach to the methods used and the data that can be extracted using different imaging techniques.

At present our department stands out for the quality of its technology: two 1.5 Tesla (General Electric) and one 3 Tesla (Philips) MRIs, a multi-slice CT scanner with 256-row detector and iterative image acquisition programmes (linked to programmes to detect and analyse the amount of radiation absorbed) as well as two high-performance ultrasound scanners (one with elastography imaging). We also have technology for functional studies (presentation of audiovisual stimuli and manual response) in MRI as well as various post-processing programmes using the Philips Intellispace Portal solution.

Over the past year our department has conducted over 79,000 studies, approximately 7,600 MRIs, 11,000 ultrasound scans and 4,000 CT scans. We participated in 40 clinical trials here in the Hospital and several research projects by external researchers, including approximately 250 scans in the 3 Tesla MRI.

Group members

Last Publications

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Projects

Project name:
Plataforma ISCIII de apoyo a la I+D+I en Biomedicina y Ciencias de la Salud. Biomodelos-Impresión 3D
Leader
Jose Luis Munuera del Cerro
Funding entities:
Instituto de Salud Carlos III (ISCIII)
Code
PT20/00090
Starting - finishing date:
2021 - 2023
Project name:
Sistema de ayuda a la decisión clínica para la evaluación y predicción de enfermedad vascular cerebral pediátrica: Radiómica a partir de RM vascular e Inteligencia Artificial (Vasculómica)
Leader
Jose Luis Munuera del Cerro
Funding entities:
Instituto de Salud Carlos III (ISCIII)
Code
PI20/00296
Starting - finishing date:
2021 - 2023
Project name:
EXPERT3D_Transversal proframme in medical image postprocess, trainning professionals_ 3D printing to research
Leader
Jose Luis Munuera del Cerro
Funding entities:
EIT Health e.V
Code
210656
Starting - finishing date:
2021 - 2021
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