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Diagnostics
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Brain Imaging in Epilepsy -Volume 2
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Brain Imaging in Epilepsy -Volume 2

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (30 May 2023) | Viewed by 1408

Special Issue Editor

Dr. Dario Arnaldi

E-Mail Website
Guest Editor
Clinical Neurology, Dept. of Neuroscience (DINOGMI), University of Genoa and IRCCS Ospedale policlinico San Martino, Genoa, Italy
Interests: SPECT; PET; MRI; sleep; epilepsy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Functional and morphological brain imaging are becoming essential techniques for the diagnosis and the management of patients suffering from epilepsy. In the field of epilepsy surgery, the use of advanced multimodal brain imaging has increased our ability to successfully identify the seizure onset zone. Moreover, the combined use of magnetic resonance and brain radionuclide imaging along with central nervous system neurophysiology investigation is showing intriguing results and it is increasing the understanding of the physiopathological basis of epilepsy, both in adult and child patients. This Special Issue of Diagnostics, entitled ‘Brain Imaging in Epilepsy’ is focused on recent advances in both morphological and functional brain techniques to be used in patients suffering from epilepsy. We welcome the submission of original research and review articles including, but not limited to the following brain imaging techniques:

  • Magnetic resonance imaging
  • Positron emission tomography
  • Single-photon emission tomography
  • Neurophysiology brain investigation (i.e., EEG, high-density EEG, stereo EEG, electrocorticography).

Articles on both adult and child patients are welcome.

Dr. Dario Arnaldi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • epilepsy
  • MRI
  • PET
  • SPECT
  • EEG
 

Published Papers (1 paper)

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Research

15 pages, 6903 KiB  
Article
MRI and CT Fusion in Stereotactic Electroencephalography (SEEG)
by Jaime Pérez Hinestroza, Claudia Mazo, Maria Trujillo and Alejandro Herrera
Diagnostics 2023, 13(22), 3420; https://doi.org/10.3390/diagnostics13223420 - 09 Nov 2023
Viewed by 1102
Abstract
Epilepsy is a neurological disorder characterized by spontaneous recurrent seizures. While 20% to 30% of epilepsy cases are untreatable with Anti-Epileptic Drugs, some of these cases can be addressed through surgical intervention. The success of such interventions greatly depends on accurately locating the [...] Read more.
Epilepsy is a neurological disorder characterized by spontaneous recurrent seizures. While 20% to 30% of epilepsy cases are untreatable with Anti-Epileptic Drugs, some of these cases can be addressed through surgical intervention. The success of such interventions greatly depends on accurately locating the epileptogenic tissue, a task achieved using diagnostic techniques like Stereotactic Electroencephalography (SEEG). SEEG utilizes multi-modal fusion to aid in electrode localization, using pre-surgical resonance and post-surgical computer tomography images as inputs. To ensure the absence of artifacts or misregistrations in the resultant images, a fusion method that accounts for electrode presence is required. We proposed an image fusion method in SEEG that incorporates electrode segmentation from computed tomography as a sampling mask during registration to address the fusion problem in SEEG. The method was validated using eight image pairs from the Retrospective Image Registration Evaluation Project (RIRE). After establishing a reference registration for the MRI and identifying eight points, we assessed the method’s efficacy by comparing the Euclidean distances between these reference points and those derived using registration with a sampling mask. The results showed that the proposed method yielded a similar average error to the registration without a sampling mask, but reduced the dispersion of the error, with a standard deviation of 0.86 when a mask was used and 5.25 when no mask was used. Full article
(This article belongs to the Special Issue Brain Imaging in Epilepsy -Volume 2)
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