Cerebral Angiography for Multimodal Surgical Planning in Epilepsy Surgery: Description of a New Three-Dimensional Technique and Literature Review

Cardinale, Francesco; Pero, Guglielmo; Quilici, Luca; Piano, Mariangela; Colombo, P.E.; Moscato, Alessio; Castana, Laura; Casaceli, Giuseppe; Fuschillo, Dalila; Gennari, Luciana; Cenzato, Marco; Russo, Giorgio Lo; Cossu, Massimo

doi:10.1016/j.wneu.2015.03.028

Cited by 67 publications

(58 citation statements)

References 23 publications

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“…The importance of vessel analysis is supported by the constant introduction in clinical practice of new medical technologies aimed at enhancing the visualization of vessels, as endoscopy in Narrow Band Imaging (NBI) [7] and cone beam Computed Tomography (CT) 3D Digital Subtraction Angiography (DSA) [8]. At the same time, standard techniques, such as Magnetic Resonance Angiography (MRA) and Computed Tomography Angiography (CTA), are constantly improved to enhance vascular tree visualization [9], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Moccia

Momi

Hadji

et al. 2018

Computer Methods and Programs in Biomedicine

450

263

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Abstract-Background: Blood vessel segmentation is a topic of high interest in medical image analysis since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and evaluation of clinical outcomes in different fields, including laryngology, neurosurgery and ophthalmology. Automatic or semiautomatic vessel segmentation can support clinicians in performing these tasks. Different medical imaging techniques are currently used in clinical practice and an appropriate choice of the segmentation algorithm is mandatory to deal with the adopted imaging technique characteristics (e.g. resolution, noise and vessel contrast).Objective: This paper aims at reviewing the most recent and innovative blood vessel segmentation algorithms. Among the algorithms and approaches considered, we deeply investigated the most novel blood vessel segmentation including machine learning, deformable model, and tracking-based approaches.Method: This paper analyzes more than 100 articles focused on blood vessel segmentation methods. For each analyzed approach, summary tables are presented reporting imaging technique used, anatomical region and performance measures employed. Benefits and disadvantages of each method are highlighted.Discussion: Despite the constant progress and efforts addressed in the field, several issues still need to be overcome. A relevant limitation consists in the segmentation of pathological vessels. Unfortunately, not consistent research effort has been addressed to this issue yet. Research is needed since some of the main assumptions made for healthy vessels (such as linearity and circular cross-section) do not hold in pathological tissues, which on the other hand require new vessel model formulations. Moreover, image intensity drops, noise and low contrast still represent an important obstacle for the achievement of a high-quality enhancement. This is particularly true for optical imaging, where the image quality is usually lower in terms of noise and contrast with respect to magnetic resonance and computer tomography angiography. Conclusion:No single segmentation approach is suitable for all the different anatomical region or imaging modalities, thus the primary goal of this review was to provide an up to date source of information about the state of the art of the vessel segmentation algorithms so that the most suitable methods can be chosen according to the specific task.

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Section: Introductionmentioning

confidence: 99%

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Moccia

Momi

Hadji

et al. 2018

Computer Methods and Programs in Biomedicine

450

263

View full text Add to dashboard Cite

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“…A recent meta‐analysis has highlighted that the main complications associated with SEEG include intracranial hemorrhage, infection, implant malfunction, and malposition . Before SEEG electrode insertion, trajectories are carefully planned with prior knowledge of the critical neurovascular structures . Computer‐aided planning has been employed in this regard to determine the safest trajectories that maximize gray matter sampling while ensuring a safe distance from vasculature .…”

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confidence: 99%

Accuracy of intracranial electrode placement for stereoelectroencephalography: A systematic review and meta‐analysis

et al. 2017

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“…[3,13–15] SEEG is especially suitable for the treatment of tuberculous sclerosis, traumatic epilepsy, and epilepsy patients with intracranial adhesion. [16] …”

Section: Discussionmentioning

confidence: 99%

“…However, in some of them, the epileptic zone cannot be well localized with noninvasive methods. [1–3] Intracranial electrodes may directly record electroencephalogram (EEG) of the suspected brain regions, enabling direct mapping of epileptic networks as well as functional evaluation of patients with multifocal epilepsy. [4] Intracranial electrode can be implanted through craniotomy or stereoelectroencephalography (SEEG) technique.…”

Section: Introductionmentioning

confidence: 99%

Stereoelectroencephalography based on the Leksell stereotactic frame and Neurotech operation planning software

et al. 2017

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This study aimed to introduce a new stereoelectroencephalography (SEEG) system based on Leksell stereotactic frame (L-SEEG) as well as Neurotech operation planning software, and to investigate its safety, applicability, and reliability.L-SEEG, without the help of navigation, includes SEEG operation planning software (Neurotech), Leksell stereotactic frame, and corresponding surgical instruments. Neurotech operation planning software can be used to display three-dimensional images of the cortex and cortical vessels and to plan the intracranial electrode implantation. In 44 refractory epilepsy patients, 364 intracranial electrodes were implanted through the L-SEEG system, and the postoperative complications such as bleeding, cerebral spinal fluid (CSF) leakage, infection, and electrode-related problems were also investigated.All electrodes were implanted accurately as preoperatively planned shown by postoperative lamina computed tomography and preoperative lamina magnetic resonance imaging. There was no severe complication after intracranial electrode implantation through the L-SEEG system. There were no electrode-related problems, no CSF leakage and no infection after surgery. All the patients recovered favorably after SEEG electrode implantation, and only 1 patient had asymptomatic frontal lateral ventricle hematoma (3 mL).The L-SEEG system with Neurotech operation planning software can be used for safe, accurate, and reliable intracranial electrode implantation for SEEG.

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Cerebral Angiography for Multimodal Surgical Planning in Epilepsy Surgery: Description of a New Three-Dimensional Technique and Literature Review

Cited by 67 publications

References 23 publications

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Accuracy of intracranial electrode placement for stereoelectroencephalography: A systematic review and meta‐analysis

Stereoelectroencephalography based on the Leksell stereotactic frame and Neurotech operation planning software

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