Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images

Christos P. Loizou, Christos Papacharalambous, Giorgos Samaras, Efthyvoulos Kyriacou, Takis Kasparis, Marios Pantziaris, Eleni Eracleous, Constantinos S. Pattichis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

During a human brain MRI acquisition the resulting image is formed out of 2D slices. The slices must then be aligned and reconstructed to provide a 3-dimensional (3D) visualization of the brain volume. We propose in this work, an integrated system for the register ion and 3D reconstruction of DICOM MRI images and lesions of the brain acquired from multiple sclerosis (MS) subjects at two different time intervals (time 0 (T0) and time 1 (T1)). The system facilitates the follow up of the MS disease development and will aid the doctor to accurately manage the follow up of the disease. It involves a 6-stage analysis (preprocessing, lesion segmentation, registration, 3D reconstruction, volume estimation and method evaluation), as well as module quantitative evaluation of the method. The system was evaluated based on one MRI phantom and one DICOM MRI image of the brain. The accuracy of the proposed registration and reconstruction (- / -) method was 78.5%/97.2% and 95.4%/95.8% for the phantom and the MRI images respectively. These preliminary results provide evidence that the proposed system could be applied in future in the clinical practice.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
EditorsPanagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages419-422
Number of pages4
Volume2017-June
ISBN (Electronic)9781538617106
DOIs
Publication statusPublished - 10 Nov 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: 22 Jun 201724 Jun 2017

Other

Other30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
CountryGreece
CityThessaloniki
Period22/06/1724/06/17

Keywords

  • 3D-Reconstruction
  • Magnetic Resonance Imaging
  • Multiple sclerosis disease

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    Loizou, C. P., Papacharalambous, C., Samaras, G., Kyriacou, E., Kasparis, T., Pantziaris, M., Eracleous, E., & Pattichis, C. S. (2017). Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images. In P. D. Bamidis, S. T. Konstantinidis, & P. P. Rodrigues (Eds.), Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017 (Vol. 2017-June, pp. 419-422). [8104230] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2017.53