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

doi:10.1109/CBMS.2017.53

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

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
Editors	Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	419-422
Number of pages	4
Volume	2017-June
ISBN (Electronic)	9781538617106
DOIs	https://doi.org/10.1109/CBMS.2017.53
Publication status	Published - 10 Nov 2017
Event	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece Duration: 22 Jun 2017 → 24 Jun 2017

Other

Other	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Country/Territory	Greece
City	Thessaloniki
Period	22/06/17 → 24/06/17

Keywords

3D-Reconstruction
Magnetic Resonance Imaging
Multiple sclerosis disease

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/CBMS.2017.53

Cite this

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). Article 8104230 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2017.53

Loizou, Christos P. ; Papacharalambous, Christos ; Samaras, Giorgos et al. / Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images. Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. editor / Panagiotis D. Bamidis ; Stathis Th. Konstantinidis ; Pedro Pereira Rodrigues. Vol. 2017-June Institute of Electrical and Electronics Engineers Inc., 2017. pp. 419-422

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title = "Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images",

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.",

keywords = "3D-Reconstruction, Magnetic Resonance Imaging, Multiple sclerosis disease",

author = "Loizou, {Christos P.} and Christos Papacharalambous and Giorgos Samaras and Efthyvoulos Kyriacou and Takis Kasparis and Marios Pantziaris and Eleni Eracleous and Pattichis, {Constantinos S.}",

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booktitle = "Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017",

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note = "30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 ; Conference date: 22-06-2017 Through 24-06-2017",

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Loizou, CP, Papacharalambous, C, Samaras, G, Kyriacou, E, Kasparis, T, Pantziaris, M, Eracleous, E & Pattichis, CS 2017, Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images. in PD Bamidis, ST Konstantinidis & PP Rodrigues (eds), Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. vol. 2017-June, 8104230, Institute of Electrical and Electronics Engineers Inc., pp. 419-422, 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, 22/06/17. https://doi.org/10.1109/CBMS.2017.53

Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images. / Loizou, Christos P.; Papacharalambous, Christos; Samaras, Giorgos et al.
Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. ed. / Panagiotis D. Bamidis; Stathis Th. Konstantinidis; Pedro Pereira Rodrigues. Vol. 2017-June Institute of Electrical and Electronics Engineers Inc., 2017. p. 419-422 8104230.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images

AU - Loizou, Christos P.

AU - Papacharalambous, Christos

AU - Samaras, Giorgos

AU - Kyriacou, Efthyvoulos

AU - Kasparis, Takis

AU - Pantziaris, Marios

AU - Eracleous, Eleni

AU - Pattichis, Constantinos S.

PY - 2017/11/10

Y1 - 2017/11/10

N2 - 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.

AB - 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.

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KW - Multiple sclerosis disease

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M3 - Conference contribution

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BT - Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017

A2 - Bamidis, Panagiotis D.

A2 - Konstantinidis, Stathis Th.

A2 - Rodrigues, Pedro Pereira

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Loizou CP, Papacharalambous C, Samaras G, Kyriacou E, Kasparis T, Pantziaris M et al. Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images. In Bamidis PD, Konstantinidis ST, Rodrigues PP, editors, Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. Vol. 2017-June. Institute of Electrical and Electronics Engineers Inc. 2017. p. 419-422. 8104230 doi: 10.1109/CBMS.2017.53

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

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Keywords

UN SDGs

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