University of Twente Student Theses


Multimodality image registration for visualization in robotic assisted breast biopsy

Chemaly, Trishia (2017) Multimodality image registration for visualization in robotic assisted breast biopsy.

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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 under a microscope. Biopsy robots have been introduced, aiming towards increased precision. The MURAB project aims to revolutionize the way cancer screening and muscle diseases are researched and has the potential to save lives. It intends to create a new paradigm in which, the precision oflmedical imaging modalities such as MRI and Ultrasound are combined with the precision oflrobotics in order to target specific areas in the body. 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 MRI and camera, showing a visualization of important features during scanning and biopsy in real- time and investigates its feasibility. It deals with the reconstruction, segmentation, transformation, and registration of MRI scans and camera images of the breast, to assist in the MRI/US image fusion part of MURAB. The development of this software promotes exact targeting of (small) lesions, which are visible under MRI thus improving the clinical workflow and contributing to the achievement of MURAB goals. It also aims to combine the detectability of MRI with the physical space of the camera. This study demonstrates that the registration accuracy oflthe proposed system is acceptable and has potential oflclinical application in MURAB.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology, 54 computer science
Programme:Electrical Engineering BSc (56953)
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