MRI and CT Fusion in Stereotactic Electroencephalography: A Literature Review

Pérez, Jaime Guillermo Barrero; Mazo, Claudia; Trujillo, María; Herrera, Alejandro Guanche

doi:10.3390/app11125524

Cited by 10 publications

(7 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, this literature review also has been undertaken as a systematic literature review based on the original guidelines as proposed by Kitchenham [14], which align with the PRISMA guidelines [15], though they are specific to software engineering and can be viewed as more focused for purposes of the topic examined herein [16,17]. A review protocol based on the Kitchenham guidelines, the PRISMA-P checklist [18], and the methodology of Boletsis [3] was developed before the review was conducted and has been used as a guide to conduct the review.…”

Section: Methodsmentioning

confidence: 99%

A Typology of Virtual Reality Locomotion Techniques

Boletsis

Chasanidou

2022

MTI

View full text Add to dashboard Cite

Researchers have proposed a wide range of categorization schemes in order to characterize the space of VR locomotion techniques. In a previous work, a typology of VR locomotion techniques was proposed, introducing motion-based, roomscale-based, controller-based, and teleportation-based types of VR locomotion. The fact that (i) the proposed typology is used widely and makes a significant research impact in the field and (ii) the VR locomotion field is a considerably active research field, creates the need for this typology to be up-to-date and valid. Therefore, the present study builds on this previous work, and the typology’s consistency is investigated through a systematic literature review. Altogether, 42 articles were included in this literature review, eliciting 80 instances of 10 VR locomotion techniques. The results indicated that current typology cannot cover teleportation-based techniques enabled by motion (e.g., gestures and gazes). Therefore, the typology was updated, and a new type was added: “motion-based teleporting.”

show abstract

Section: Methodsmentioning

confidence: 99%

A Typology of Virtual Reality Locomotion Techniques

Boletsis

Chasanidou

2022

MTI

View full text Add to dashboard Cite

show abstract

“…This kind of fusion has been widely discussed in many scientific pa-pers and surveys. 5,[9][10][11][12][13][14] The second level uses objects, labels, property descriptors derived from several sources. 15 The last method merges information on high-level.…”

Section: Methodsmentioning

confidence: 99%

Interactive CT/MRI 3D Fusion for cerebral system analysis and as a preoperative surgical strategy and educational tool

et al. 2021

View full text Add to dashboard Cite

Introduction: The development of systems that merge existing technologies with gathered data may bring some spectacular effects that are usable both in preoperative and educational processes. Augmented reality (AR) is one of the key aspects of the new medical approach. Newly fused data sets draw from it and give users a better overall experience. Aim: The main goal of this study was to enable the interactive presentation of patients’ CT and MRI combined data with the incorporation of AR tools considering the accuracy of the data with an emphasis on vascular structures. Material and methods: The registration method, reconstruction of the vascular system using tubular structures, and error analysis using surface distance measurements results were used in the system to provide accurate combined information about bony structures from CT volume and vascular objects and cerebral vessels from MRI. Results and discussion: The strategies concern a series of CTI volumes that could be used to analyze bony surgical procedures. The methods are preferred, especially to the most complicated and individually modified bony structures of the skull. Removing, replacing, or modifying these bony structures or elements of the skull could be used as an analysis of operating procedures at the particular stages of the operation during neurosurgical or otolaryngological techniques. Conclusions: Presented study regarded to an innovative system consisting of a CT and MRI datasets fusion. The distance analysis of the segmented vascular model and proposed method for stabilization of the human head combined with virtual sculpting technique. In conclusion, it was meaningful in many aspects of the scientific-technological merge.

show abstract

“…Given that our literature search did not identify any fusion methods that take into account the electrode and utilize segmentation for registration [13], we devised our own segmentation procedure. This procedure employs thresholding and morphological operations, as shown in Figures 2 and 3.…”

Section: Ct Electrode Segmentationmentioning

confidence: 99%

“…Based on the challenges associated with image registration, we conducted a systematic review, using the methodology outlined by Kitchenham [12] for literature reviews in software engineering. Our research looked into the techniques and tools used for brain image fusion between CT and MRI, as well as the validation techniques employed to measure the performance [13]. Our review revealed a notable absence of a standard method for image fusion validation in CT and MRI, especially when external objects are present.…”

Section: Introductionmentioning

confidence: 99%

MRI and CT Fusion in Stereotactic Electroencephalography (SEEG)

Pérez Hinestroza,

Mazo,

Trujillo

et al. 2023

Diagnostics

Self Cite

View full text Add to dashboard Cite

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.

show abstract

MRI and CT Fusion in Stereotactic Electroencephalography: A Literature Review

Cited by 10 publications

References 45 publications

A Typology of Virtual Reality Locomotion Techniques

A Typology of Virtual Reality Locomotion Techniques

Interactive CT/MRI 3D Fusion for cerebral system analysis and as a preoperative surgical strategy and educational tool

MRI and CT Fusion in Stereotactic Electroencephalography (SEEG)

Contact Info

Product

Resources

About