Scope
As the main bottleneck in virtual reality surgical planning systems is the delineation of the tissues of interest, automated segmentation approaches become a key factor for the feasibility of such systems. In this context we propose a semi-interactive technique based on parameter-free seeded region growing.
In a first stage, CT images are normalized according to the density values near the seeds. Subsequently, region growing is performed on the normalized image in terms of self-assessed tolerance intervals.
This algorithm has been implemented using open source image processing toolkits, and has been integrated in virtual-reality surgical planning platform VirSSPA, jointly developed by Fundación Reina Mercedes and the Plastic Surgery Unit (Virgen del Rocío University Hospital) in Seville.
The approach has been validated, both in its prototypal and final versions, on large CT databases and has been reported to significantly reduce the duration of the surgical planning cycle.
Collaborations
Fundación Pública Andaluza para la Gestión de la Investigación en Salud de Sevilla (FISEVI)
Hospitales Universitarios Virgen del Rocío
Funding
Knowledge management integrated in a virtual reality scenario (PI-0639/2007)
Images
Publications
- Pérez Carrasco, Jose Antonio, Acha Piñero, Begoña, Suárez Mejías, Cristina, Lopez, Jose Luis, Serrano, Carmen:
Joint Segmentation of Bones and Muscles Using an Intensity and Histogram- Based Energy Minimization Approach. En: Computer Methods and Programs in Biomedicine. 2018. Vol. 156. Pag. 85-95. 10.1016/j.cmpb.2017.12.027 - Mendoza, C.S., Acha, B., Serrano, C., Gómez-Cía, T. Fast parameter-free region growing segmentation with application to surgical planning (2012) Machine Vision and Applications, 23 (1), pp. 165-177.
- Mendoza, C.S., Acha, B., Serrano, C., Gómez-Cía, T. Self-assessed contrast-maximizing adaptive region growing (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5807 LNCS, pp. 652-663.
- Gómez-Cía, T., Gacto-Sánchez, P., Sicilia, D., Suárez, C., Acha, B., Serrano, C., Parra, C., Higuera, J. The virtual reality tool VirSSPA in planning DIEP microsurgical breast reconstruction. International Journal of Computer Assisted Radiology and Surgery, 4 (4), 2009, pp. 375-382.
- Suárez, C., Acha, B., Serrano, C., Parra, C., Gómez, T. VirSSPA – A virtual reality tool for surgical planning workflow. International Journal of Computer Assisted Radiology and Surgery, 4 (2),, 2009, pp. 133-139.
- Mendoza, C.S., Serrano, C., Acha, B. Crecimiento de Regiones Auto-Calibrado para Segmentación de Imágenes TAC. XXIV Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2009). Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2009) (24). Num. 24. Santander. URSI. 2009. Pag. 134-134. ISBN: 978-84-8102-5
- Fenoll, I.G., Serrano, C., Acha, B., Gómez-Cía, T. Algoritmo de Segmentación 3d Basado en Crecimiento de Regiones Por Tolerancia Adaptativa y Optimización de Contraste. Actas del XXIII Symposium Nacional de la Unión Científica de Radio. Ursi’08. XXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2008). Madrid, España. XXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI). 2008. Pag. 51-51
- Suárez, C., Acha, B., Serrano, C., Gómez-Cía, T., Higuera, J. Herramienta Mejorada de Realidad Virtual Utilizada en La planificación de los Procesos Quirúrgicos. Actas del XXIII Symposium Nacional de la Unión Científica de Radio. Ursi’08. XXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2008). Madrid, España. XXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI). 2008. Pag. 50-50
- Suárez, C., Acha, B., Serrano, C., Parra, C. Improvement of the Virtual Reality Tool Virsspa Used in Planning and Optimization of Surgical Processes. International Journal of Computer Assisted Radiology and Surgery. Vol 3. Suplement 1. Computer Assisted Radiology and Surgery (22). Num. 22. Barcelona. Springer. 2008.
