Frederick Van GestelUniversity Hospital Brussels | UZ Brussel · Department of Neurosurgery
Frederick Van Gestel
MD
About
16
Publications
1,657
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102
Citations
Additional affiliations
September 2018 - August 2020
Publications
Publications (16)
Background
We present a method to determine and visualise the functional centre of rotation (FCOR) of the hip during total hip arthroplasty using an augmented reality head mounted display (AR‐HMD).
Methods
We developed software allowing a HoloLens to provide inside‐out infrared tracking of markers affixed to cadaver femurs and 3D printed acetabuli...
In several orthopedic procedures, the accurate use of surgical power tools is critical to avoid damage to surrounding tissues. As such, various guidance techniques and safety measures were developed. Augmented reality (AR) guidance shows promise but requires validation. We evaluated a new approach using an inside-out infrared tracking solution for...
Introduction: With increasing use of robotic surgical adjuncts, artificial intelligence and augmented reality in neurosurgery, the automated analysis of digital images and videos acquired over various procedures becomes a subject of increased interest. While several computer vision (CV) methods have been developed and implemented for analyzing surg...
Background
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the acceptance of HMD‐based AR surgical navigation.
Methods
An experiment was conducted in which participants drilled 12 predefined holes using freehand drilling, proprioceptive control, and AR assistance. Technology acceptance was assessed thr...
Objective:
Although the use of different types of valves have been extensively studied in shunt surgeries for communicating hydrocephalus (cHC), a consensus about the valve type remains absent. The objective of this study is to evaluate our results with the primary placement of non-programmable valves (NPV) for this indication.
Methods:
We retro...
Background
Before starting surgery for the resection of an intracranial tumor, its outlines are typically marked on the skin of the patient. This allows for the planning of the optimal skin incision, craniotomy, and angle of approach. Conventionally, the surgeon determines tumor borders using neuronavigation with a tracked pointer. However, interpr...
BACKGROUND
When preparing for the resection of an intracranial lesion, its borders and optimal approach are often determined using neuronavigation with a tracked pointer. This can sometimes prove challenging, especially for deep-seated lesions. Augmented reality (AR) can simplify and improve this step by directly displaying the lesion on the patien...
Background
When preparing for the resection of an intracranial lesion, neuronavigation with a tracked pointer is most often used to determine lesion borders and the optimal approach. This can sometimes prove challenging, especially for deep-seated lesions. Augmented Reality (AR), directly displaying the lesion on the patient’s skin, can simplify an...
Objective:
The traditional freehand technique for external ventricular drain (EVD) placement is most frequently used, but remains the primary risk factor for inaccurate drain placement. As this procedure could benefit from image guidance, the authors set forth to demonstrate the impact of augmented-reality (AR) assistance on the accuracy and learn...
Background:
Many surgical procedures, such as placement of intracranial drains, are currently being performed blindly, relying on anatomical landmarks. As a result, accuracy results still have room for improvement. Neuronavigation could address this issue, but its application in an urgent setting is often impractical. Augmented reality (AR) provid...
Chronic lymphocytic leukemia (CLL) is a low-grade B-cell proliferative disease with a generally indolent course. In a few cases, it undergoes transformation and becomes a more aggressive malignancy, such as diffuse large B-cell lymphoma (DLBCL). This process, which is called Richter transformation (RT), is often detected too late and is associated...
The field of biomedical imaging has made significant advances in recent times. This includes extremely high-resolution anatomic imaging and functional imaging of physiologic and pathologic processes as well as novel modalities in optical imaging to evaluate molecular features within the cellular environment. The latter has made it possible to image...
Questions
Question (1)
What kind of statistical approach is best to analyse lesions caused by 4 different pathologies, in which I have measured lesion volume (with segmentation software; [cm³]) & lesion wall thickness (mean value of 3 measurement points; [mm])? Especially the latter is quite observer-dependent, so I'd wish to implement measurement error as well.
The comparison goes between lesions of the 4 pathologies (4 different groups), as well as to the total dataset of all 4 pathologies combined. Each group has a sample size of 20 lesions, thus a total of 80 in the dataset. Lesion volume and lesion wall thickness were measured in all lesions of the dataset. These characteristics are not directly related to each other, but are both related to the specific pathology (or at least, that is what I'm trying to prove) and thusly interconnected to each other.
Goal:
1. Prove that the extent of lesion volume and lesion wall thickness is related to a specific pathology
2. Compare these characteristics between the four groups, and between each group (n = 20) and the total dataset (n = 80).
Thank you.
