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FCD detection and display based on combination of cortical thickness and PET image

Published: 16 August 2019 Publication History
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  • Abstract

    Focal cortical dysplasia (FCD) is one of the causes of drug refractory epilepsy. In clinical treatment, surgical excision is often used to remove the FCD lesion area. Therefore, it is very important to detect and locate the lesion area before operation. The Study showed an increase in the cortical thickness of FCD, and it is hypometabolic in the lesions with a lower value in PET images. In this work, this paper uses a voxel based Laplace method to calculate the cortical thickness, and combine the thickness image calculated with PET image to get a thickness-PET map in which the lesion area can be visualized more easily. It also developed a graphic user interface (GUI) to help doctors processing and displaying easier.

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    1. FCD detection and display based on combination of cortical thickness and PET image

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      cover image ACM Other conferences
      AIPR '19: Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition
      August 2019
      198 pages
      ISBN:9781450372299
      DOI:10.1145/3357254
      • Conference Chairs:
      • Li Ma,
      • Xu Huang
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 16 August 2019

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      Author Tags

      1. MRI
      2. PET
      3. detection
      4. display
      5. focal cortical dysplasia

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      • the National Natural Science Foundation of China
      • National Key R&D Program of China

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      AIPR 2019

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