MRI and Stereo Vision Surface Reconstruction and Fusion

Trishia El Chemaly; Françoise Jeanette Siepel; Sandy Rihana; Vincent  Groenhuis; Ferdinand  van der Heijden; Stefano  Stramigioli

doi:10.1109/ICABME.2017.8167571

MRI and Stereo Vision Surface Reconstruction and Fusion

Trishia El Chemaly, Françoise Jeanette Siepel, Sandy Rihana, Vincent Groenhuis, Ferdinand van der Heijden, Stefano Stramigioli

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

3 Citations (Scopus)

223 Downloads (Pure)

Abstract

Breast cancer, the most commonly diagnosed cancer in women worldwide, is mostly detected through a biopsy where tissue is extracted and chemically examined or pathologist assessed. Medical imaging plays a valuable role in targeting malignant tissue accurately and guiding the radiologist during needle insertion in a biopsy. This paper proposes a computer software that can process and combine 3D reconstructed surfaces from different imaging modalities, particularly Magnetic Resonance Imaging (MRI) and camera, showing a visualization of important features and investigates its feasibility. The development of this software aims to combine the detectability of MRI with the physical space of the camera. It demonstrates that the registration accuracy of the proposed system is acceptable and has potential for clinical application.

Original language	English
Title of host publication	2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	978-1-5386-1642-0
ISBN (Print)	978-1-5386-1643-7
DOIs	https://doi.org/10.1109/ICABME.2017.8167571
Publication status	Published - 7 Dec 2017
Event	4th International Conference on Advances in Biomedical Engineering 2017 - Lebanese University Campus Rafik Hariri, Beirut, Lebanon Duration: 19 Oct 2017 → 21 Oct 2017 Conference number: 4 http://www.biotech.ul.edu.lb/icabme17/

Conference

Conference	4th International Conference on Advances in Biomedical Engineering 2017
Abbreviated title	ICABME
Country/Territory	Lebanon
City	Beirut
Period	19/10/17 → 21/10/17
Internet address	http://www.biotech.ul.edu.lb/icabme17/

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

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10.1109/ICABME.2017.8167571Licence: Unspecified

TrishiaChemaly_ICABME2017Accepted author version, 599 KBLicence: Unspecified

Cite this

@inproceedings{75af16ec17294570ae8378974e4c3464,

title = "MRI and Stereo Vision Surface Reconstruction and Fusion",

abstract = "Breast cancer, the most commonly diagnosed cancer in women worldwide, is mostly detected through a biopsy where tissue is extracted and chemically examined or pathologist assessed. Medical imaging plays a valuable role in targeting malignant tissue accurately and guiding the radiologist during needle insertion in a biopsy. This paper proposes a computer software that can process and combine 3D reconstructed surfaces from different imaging modalities, particularly Magnetic Resonance Imaging (MRI) and camera, showing a visualization of important features and investigates its feasibility. The development of this software aims to combine the detectability of MRI with the physical space of the camera. It demonstrates that the registration accuracy of the proposed system is acceptable and has potential for clinical application.",

author = "{El Chemaly}, Trishia and Siepel, {Fran{\c c}oise Jeanette} and Sandy Rihana and Vincent Groenhuis and {van der Heijden}, Ferdinand and Stefano Stramigioli",

year = "2017",

month = dec,

day = "7",

doi = "10.1109/ICABME.2017.8167571",

language = "English",

isbn = "978-1-5386-1643-7",

booktitle = "2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)",

publisher = "IEEE",

address = "United States",

note = "4th International Conference on Advances in Biomedical Engineering 2017, ICABME ; Conference date: 19-10-2017 Through 21-10-2017",

url = "http://www.biotech.ul.edu.lb/icabme17/",

}

El Chemaly, T, Siepel, FJ, Rihana, S, Groenhuis, V , van der Heijden, F & Stramigioli, S 2017, MRI and Stereo Vision Surface Reconstruction and Fusion. in 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME). IEEE, 4th International Conference on Advances in Biomedical Engineering 2017, Beirut, Lebanon, 19/10/17. https://doi.org/10.1109/ICABME.2017.8167571

TY - GEN

T1 - MRI and Stereo Vision Surface Reconstruction and Fusion

AU - El Chemaly, Trishia

AU - Siepel, Françoise Jeanette

AU - Rihana, Sandy

AU - Groenhuis, Vincent

AU - van der Heijden, Ferdinand

AU - Stramigioli, Stefano

N1 - Conference code: 4

PY - 2017/12/7

Y1 - 2017/12/7

N2 - Breast cancer, the most commonly diagnosed cancer in women worldwide, is mostly detected through a biopsy where tissue is extracted and chemically examined or pathologist assessed. Medical imaging plays a valuable role in targeting malignant tissue accurately and guiding the radiologist during needle insertion in a biopsy. This paper proposes a computer software that can process and combine 3D reconstructed surfaces from different imaging modalities, particularly Magnetic Resonance Imaging (MRI) and camera, showing a visualization of important features and investigates its feasibility. The development of this software aims to combine the detectability of MRI with the physical space of the camera. It demonstrates that the registration accuracy of the proposed system is acceptable and has potential for clinical application.

AB - Breast cancer, the most commonly diagnosed cancer in women worldwide, is mostly detected through a biopsy where tissue is extracted and chemically examined or pathologist assessed. Medical imaging plays a valuable role in targeting malignant tissue accurately and guiding the radiologist during needle insertion in a biopsy. This paper proposes a computer software that can process and combine 3D reconstructed surfaces from different imaging modalities, particularly Magnetic Resonance Imaging (MRI) and camera, showing a visualization of important features and investigates its feasibility. The development of this software aims to combine the detectability of MRI with the physical space of the camera. It demonstrates that the registration accuracy of the proposed system is acceptable and has potential for clinical application.

UR - http://www.biotech.ul.edu.lb/conference/icabme17/

U2 - 10.1109/ICABME.2017.8167571

DO - 10.1109/ICABME.2017.8167571

M3 - Conference contribution

SN - 978-1-5386-1643-7

BT - 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)

PB - IEEE

T2 - 4th International Conference on Advances in Biomedical Engineering 2017

Y2 - 19 October 2017 through 21 October 2017

ER -

MRI and Stereo Vision Surface Reconstruction and Fusion

Abstract

Conference

UN SDGs

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