Paper
23 September 2005 Multimodal visualization of 3D enhanced MRI and CT of acoustic schwannoma and related structures
Tomasz Kucharski, Malgorzata Kujawinska, Kazimierz Niemczyk, Andrzej Marchel
Author Affiliations +
Abstract
According to the necessity of supporting vestibular schwannoma surgery, there is a demand to develop a convenient method of medical data visualization. The process of making choice of optimal operating access way has been uncomfortable for a surgeon so far, because there has been a necessity of analyzing two independent 3D images series (CT -bone tissues visible, MRI - soft tissues visible) in the region of ponto-cerebellar angle tumors. The authors propose a solution that will improve this process. The system used is equipped with stereoscopic helmet mounted display. It allows merged CT and MRI data representing tissues in the region of of ponto-cerebellar angle to be visualized in stereoscopic way. The process of data preparation for visualization includes: -automated segmentation algorithms, -different types of 3D images (CT, MRI) fusion. The authors focused on the development of novel algorithms for segmentation of vestibular schwannoma. It is important and difficult task due to different types of tumors and their inhomogeneous character dependent on growth models. The authors propose algorithms based on histogram spectrum and multimodal character of MRI imaging (T1 and T2 modes). However due to a variety of objects the library of algorithms with specific modifications matching to selected types of images is proposed. The applicability and functionality of the algorithms and library was proved on the series of data delivered by Warsaw Central Medical University Hospital.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomasz Kucharski, Malgorzata Kujawinska, Kazimierz Niemczyk, and Andrzej Marchel "Multimodal visualization of 3D enhanced MRI and CT of acoustic schwannoma and related structures", Proc. SPIE 5959, Medical Imaging, 595906 (23 September 2005); https://doi.org/10.1117/12.623663
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KEYWORDS
Image segmentation

Magnetic resonance imaging

Tumors

Tissues

Acoustics

Computed tomography

Visualization

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