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This study is situated within the field of medical image processing and nuclear medicine, focusing on the diagnosis of patients with drug-resistant epilepsy. Specifically, it explores advanced techniques and tools available in current imaging applications for the localization of various anatomical and functional brain structures, such as regions, sulci, fissures, and functional areas. In collaboration with specialists—including nuclear medicine physicians and neurophysiologists—this work systematizes bibliographic knowledge on semiology, epilepsy classifications, involved brain areas, and regions potentially corresponding to an epileptogenic focus or Epileptogenic Zone (EZ). Through the implementation of diverse computational resources, this study applies advanced image processing techniques to Positron Emission Tomography (PET) images for the identification and visualization of potential EZs within cerebral structures. A clinical evaluation is conducted on a cohort of 10 patients, comparing the results with expert medical reports provided by professionals from Fundación Escuela de Medicina Nuclear (FUESMEN). These findings serve as a reference framework for designing optimized procedures for the Centro Español para el Manejo de Enfermedades Crónicas (CEMEC), under the Ministry of Health of San Juan Province. Ultimately, this approach aims to provide an additional decision-support tool to enhance the comprehensive analysis performed by the surgical team, thereby facilitating diagnosis and improving treatment outcomes.

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FDG-PET Imaging in the Clinical Assessment of Patients with Epilepsy

  • 会议论文

  • 发表日期：

    2025年

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  • Luciano Hehn,
  • Alfredo Garcia,
  • Manuel Guirao,
  • Juan Pablo Graffigna,
  • María Eugenia Gomez

摘要

This study is situated within the field of medical image processing and nuclear medicine, focusing on the diagnosis of patients with drug-resistant epilepsy. Specifically, it explores advanced techniques and tools available in current imaging applications for the localization of various anatomical and functional brain structures, such as regions, sulci, fissures, and functional areas. In collaboration with specialists—including nuclear medicine physicians and neurophysiologists—this work systematizes bibliographic knowledge on semiology, epilepsy classifications, involved brain areas, and regions potentially corresponding to an epileptogenic focus or Epileptogenic Zone (EZ). Through the implementation of diverse computational resources, this study applies advanced image processing techniques to Positron Emission Tomography (PET) images for the identification and visualization of potential EZs within cerebral structures. A clinical evaluation is conducted on a cohort of 10 patients, comparing the results with expert medical reports provided by professionals from Fundación Escuela de Medicina Nuclear (FUESMEN). These findings serve as a reference framework for designing optimized procedures for the Centro Español para el Manejo de Enfermedades Crónicas (CEMEC), under the Ministry of Health of San Juan Province. Ultimately, this approach aims to provide an additional decision-support tool to enhance the comprehensive analysis performed by the surgical team, thereby facilitating diagnosis and improving treatment outcomes.