Radiological image analysis and process engineering

Leader

Javier Soto Pérez-Olivares

Personnel

Catalina Nieto Góngora

Inés Resina Sierra

Raúl Perona Madrigal

Jaime Moujir López

Contact

jsotop(ELIMINAR)@salud.madrid.org

Telf: 91 336 91 44

The Radiological Image Analysis and Process Engineering Service focuses on the development and support of research projects through advanced radiological image analysis and process engineering. We offer specialised services such as image segmentation, 3D anatomical modelling, radiomic analysis, dashboard design and ad-hoc solutions, among others. Our work integrates cutting-edge tools, fostering knowledge generation and the application of innovative technical methodologies in a collaborative and multidisciplinary environment.

Equipment
- Image post-processing software:
- Synapse 3D (Fujifilm)
- IntelliSpace Portal (Philips)
- AW Server (GE)
- syngo.via (Siemens)
- 3D Slicer
- Linux server for medical image processing:
  - Python
  - FreeSurfer
  - FSL (FMRIB Software Library)
  - MATLAB
- Web server for ad-hoc tool development
- Python scientific computing stack
Noteworthy

The Service has the collaboration of the chair 'Radiology Ramón y Cajal Institute of Health Research in Innovation and Processes in Health Technologies' of collaboration between the IRYCIS and the Polytechnic University of Madrid (UPM). https://blogs.upm.es/procesosytecnologiasparalasalud/
Services portfolio
- RADIOLOGICAL IMAGE ANALYSIS
  - Consulting engineer/technician specialising in research image processing
  - Medical image segmentation for research
  - 3D anatomical modelling for research
  - Custom 3D design for research
  - Radiomic feature extraction for research
  - Design of research projects with radiological imaging
  - Radiomic analysis for research
- PROCESS ENGINEERING
  - Process engineering consultancy for healthcare innovation projects
  - Strategic planning and process diagram in healthcare innovation
  - Design and development of dashboards
  - Design of ad-hoc solutions in care innovation projects
- TEACHING
  - Training in healthcare process engineering: process diagrams, introduction to hospital organisational charting, information tools and systems, database and dashboard exploitation.
  - Ad-hoc training for different levels in radiological imaging related topics: Medical image processing with segmentation techniques using commercial software such as Synapse 3D (Fujifilm), IntelliSpace Portal (Philips), AW Server (GE) and syngo. via (Siemens), as well as open source tools such as 3DSlicer; concepts of Artificial Intelligence applied to image analysis, including the use of models available in repositories for research; fundamentals of radiomics and its integration into clinical practice; and practical applications such as the design and development of models for 3D printing.