Top

Published in:

01-06-2016 | Education & Training

Morphological and Volumetric Assessment of Cerebral Ventricular System with 3D Slicer Software

Authors: Miguel Gonzalo Domínguez, Cristina Hernández, Pablo Ruisoto, Juan A. Juanes, Alberto Prats, Tomás Hernández

Published in: Journal of Medical Systems | Issue 6/2016

Abstract

We present a technological process based on the 3D Slicer software for the three-dimensional study of the brain’s ventricular system with teaching purposes. It values the morphology of this complex brain structure, as a whole and in any spatial position, being able to compare it with pathological studies, where its anatomy visibly changes. 3D Slicer was also used to obtain volumetric measurements in order to provide a more comprehensive and detail representation of the ventricular system. We assess the potential this software has for processing high resolution images, taken from Magnetic Resonance and generate the three-dimensional reconstruction of ventricular system.

Ratib, O., Rosset, A., and Heuberger, J., Open source software and social networks: disruptive alternatives for medical imaging. European Journal of Radiology 78(2):259–265, 2011.CrossRefPubMed

Velazquez, E. R., Parmar, C., Jermoumi, M., Mak, R. H., van Baardwijk, A., Fennessy, F. M., Lewis, J. H., De Ruysscher, D., Kikinis, R., Lambin, P., and Aerts, H. J., Volumetric CT-based segmentation of NSCLC using 3D-Slicer. Science Reports 18(3):3529, 2013.

Oyama, R., Jakab, M., Kikuchi, A., Sugiyama, T., Kikinis, R., and Pujol, S., Towards improved ultrasound-based analysis and 3D visualization of the fetal brain using the 3D Slicer. Ultrasound in Obstetrics and Gynecology 42(5):609–610, 2013.CrossRefPubMedPubMedCentral

Revannasiddaiah, S, Susheela, S. P., Madhusudhan, N., Mallarajapatna, G. J., Three-dimensional volumetric rendition of cannon ball pulmonary metastases by the use of 3D Slicer, an open source free software package. BMJ Case Reports, 2013.

Gao, Y., Tannenbaum, A., Kikinis, R., Medical computer vision. Recognition techniques and applications in medical imaging. In: Menze, B., Langs, G., Tu Z., Criminisi A. (Eds.), Heidelberg: Springer Berlin Heidelberg, Berlin;195–203, 2011.

Yushkevich, P. A., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., and Gerig, G., User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. NeuroImage 31:1116–1128, 2006.CrossRefPubMed

Rosset, A., Spadola, L., and Ratib, O., OsiriX: an open-source software for navigating in multidimensional DICOM images. Journal of Digital Imaging 17:205–216, 2009.CrossRef

Kikinis, R., and Pieper, S. (2011). 3D Slicer as a tool for interactive brain tumor segmentation. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (pp. 6982–6984). IEEE.

Lee, J. H., Lee, H. K., Kim, J. K., Kim, H. J., Park, J. K., and Choi, C. G., CSF flow quantification of the cerebral aqueduct in normal volunteers using phase contrast cine MR imaging. Korean Journal of Radiology 5(2):81–86, 2004.CrossRefPubMedPubMedCentral

10.

Moon, T. K., The expectation-maximization algorithm. IEEE Signal Processing Magazine 13(6):47–60, 1996.CrossRef

11.

Zhang, Y., Brady, M., and Smith, S., Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Transactions on Medical Imaging 20(1):45–57, 2001.CrossRefPubMed

12.

Arenson, R. K., Andriole, K. P., Avrin, D. E., and Gould, R. G., Computers in imaging and health care: now and in the future. Journal of Digital Imaging 13(4):145–156, 2000.CrossRefPubMedPubMedCentral

13.

Gunderman, R. B., and Wilson, P. K., Viewpoint: exploring the human interior: the roles of cadaver dissection and radiologic imaging in teaching anatomy. Academic Medicine 80(8):745–749, 2005.CrossRefPubMed

14.

Mahmoudi, S. E., Akhondi-Asl, A., Rahmani, R., Faghih-Roohi, S., Taimouri, V., Sbouir, A., and Sotanian-Zadeh, H., Web-based Interactive 2D/3D medical image processing visualization software. Computer Methods and Programs in Biomedicine 98(2):172–182, 2010.CrossRefPubMed

15.

Juanes, J. A. Ruisoto, P., Velasco, M. A., Gómez, J. J., Advance technology for enhanced study of the brain from neuroimaging. In: Gómez Chova, L., Candel Torres, I., and López Martínez, A. (Eds.), Proceedings of the 5th International Technology, Education and Development Conference (INTED), pp: 5073–5082. 4th-6th March 2013, Valencia, Spain, 2013.

16.

Kim, G., Jung, H. J., Lee, H. J., Lee, J. S., Koo, S., and Chang, S. H., Accuracy and reliability of length measurements on three-dimensional computed tomography using open-source OsiriX software. Journal of Digital Imaging 25:486–491, 2012. doi:10.1007/s10278-012-9458-6.CrossRefPubMedPubMedCentral

17.

Ruisoto, P., Juanes, J. A., Contador, I., Mayoral, P., and Prats, A., Experimental evidence for improved neuroimaging interpretation using three-dimensional graphic models. Anatomical Sciences Education 5(3):132–137, 2012. doi:10.1002/ase.1275.CrossRefPubMed

18.

Tatar, I., OsiriX: is it really a suitable software for 3D visualization of neuroanatomical structures acquired from DICOM images? Neuroanatomy 7:20–21, 2008.

19.

Li, Y., Chen, X., and Xu, B., The efficacy of neuroendoscopic treatment for middle cranial fossa arachnoid cysts assessed by MRI 3D segmentation and modeling. Childs Nervous System 30(6):1037–1044, 2014.CrossRef

20.

Seow Hiong, G., Open source and commercial software. An in-depth analysis of the issues. Business Software Alliance. 1–32, 2005.

21.

Sierra-Martínez, E., Cienfuegos-Monroy, R., and Fernández-Sobrino, G., OsiriX, visor DICOM útil para procesar imágenes tomográficas de fracturas faciales. Cirugia y Cirujanos 77:95–99, 2009.PubMed

22.

Valeri, G., Mazza, F. A., Maggi, S., Aramini, D., La Riccia, L., Mazzoni, G., and Giovagnoni, A., Open source software in a practical approach for post processing of radiologic images. Radiologia Medica 120(3):309–323, 2015.CrossRefPubMed

23.

Nagy, P., Open source in imaging informatics. Journal of Digital Imaging 20:1–10, 2007.CrossRefPubMedPubMedCentral

24.

Stalling, D., Westerhoff, M., Hege, H-C., Amira: A highly interactive system for visual data analysis. 1–18. Retrieved from http://www.zib.de/visual-publications/sources/src-2005/amira-overview.pdf 19th November 2012, 2005.

Title: Morphological and Volumetric Assessment of Cerebral Ventricular System with 3D Slicer Software
Authors: Miguel Gonzalo Domínguez
Cristina Hernández
Pablo Ruisoto
Juan A. Juanes
Alberto Prats
Tomás Hernández
Publication date: 01-06-2016
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 6/2016
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-016-0510-9

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Morphological and Volumetric Assessment of Cerebral Ventricular System with 3D Slicer Software

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 6/2016

Effects of Mobile Learning in Medical Education: A Counterfactual Evaluation

A Visualization System for Interactive Exploration of the Cardiac Anatomy

Building Computer-Based Experiments in Psychology without Programming Skills

Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients

Designing a Model of a Digital Ecosystem for Healthcare and Wellness Using the Business Model Canvas

Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk