3D quantitative analysis of brain SPECT images

Sven Loncaric; Ivan Ceskovic; Ratimir Petrovic; Srecko Loncaric

doi:10.1117/12.431055

3 July 2001 3D quantitative analysis of brain SPECT images

Sven Loncaric, Ivan Ceskovic, Ratimir Petrovic, Srecko Loncaric

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431055
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

The main purpose of this work is to develop a computer-based technique for quantitative analysis of 3-D brain images obtained by single photon emission computed tomography (SPECT). In particular, the volume and location of ischemic lesion and penumbra is important for early diagnosis and treatment of infracted regions of the brain. SPECT imaging is typically used as diagnostic tool to assess the size and location of the ischemic lesion. The segmentation method presented in this paper utilizes a 3-D deformable model in order to determine size and location of the regions of interest. The evolution of the model is computed using a level-set implementation of the algorithm. In addition to 3-D deformable model the method utilizes edge detection and region growing for realization of a pre-processing. Initial experimental results have shown that the method is useful for SPECT image analysis.

Citation Download Citation

Sven Loncaric, Ivan Ceskovic, Ratimir Petrovic, and Srecko Loncaric "3D quantitative analysis of brain SPECT images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431055

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