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Dive into the research topics where Gert Van Gompel is active.

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Featured researches published by Gert Van Gompel.


Radiotherapy and Oncology | 2013

Initial assessment of tumor tracking with a gimbaled linac system in clinical circumstances: A patient simulation study

Tom Depuydt; K. Poels; Dirk Verellen; Benedikt Engels; C. Collen; Chloe Haverbeke; T. Gevaert; Nico Buls; Gert Van Gompel; Truus Reynders; M Duchateau; Koen Tournel; M. Boussaer; Femke Steenbeke; Frederik Vandenbroucke; Mark De Ridder

PURPOSE To have an initial assessment of the Vero Dynamic Tracking workflow in clinical circumstances and quantify the performance of the tracking system, a simulation study was set up on 5 lung and liver patients. METHODS AND MATERIALS The preparatory steps of a tumor tracking treatment, based on fiducial markers implanted in the tumor, were executed allowing pursuit of the tumor with the gimbaled linac and monitoring X-rays acquisition, however, without activating the 6 MV beam. Data were acquired on workflow time-efficiency, tracking accuracy and imaging exposure. RESULTS The average time between the patient entering the treatment room and the first treatment field was about 9 min. The time for building the correlation model was 3.2 min. Tracking errors of 0.55 and 0.95 mm (1σ) were observed in PAN/TILT direction and a 2D range of 3.08 mm. A skin dose was determined of 0.08 mGy/image, with a source-to-skin distance of 900 mm and kV exposure of 1 mAs. On average 1.8 mGy/min kV skin dose was observed for 1 Hz monitoring. CONCLUSION The Vero tracking solution proved to be fully functional and showed performance comparable with other real-time tracking systems.


Radiology | 2014

Pulmonary Disease in Cystic Fibrosis: Assessment with Chest CT at Chest Radiography Dose Levels

Caroline Ernst; Ines A. Basten; Bart Ilsen; Nico Buls; Gert Van Gompel; Elke De Wachter; Koenraad Nieboer; Filip Verhelle; Anne Malfroot; Danny Coomans; Michel De Maeseneer; Johan De Mey

PURPOSE To investigate a computed tomographic (CT) protocol with iterative reconstruction at conventional radiography dose levels for the assessment of structural lung abnormalities in patients with cystic fibrosis ( CF cystic fibrosis ). MATERIALS AND METHODS In this institutional review board-approved study, 38 patients with CF cystic fibrosis (age range, 6-58 years; 21 patients <18 years and 17 patients >18 years) underwent investigative CT (at minimal exposure settings combined with iterative reconstruction) as a replacement of yearly follow-up posteroanterior chest radiography. Verbal informed consent was obtained from all patients or their parents. CT images were randomized and rated independently by two radiologists with use of the Bhalla scoring system. In addition, mosaic perfusion was evaluated. As reference, the previous available conventional chest CT scan was used. Differences in Bhalla scores were assessed with the χ(2) test and intraclass correlation coefficients ( ICC intraclass correlation coefficient s). Radiation doses for CT and radiography were assessed for adults (>18 years) and children (<18 years) separately by using technical dose descriptors and estimated effective dose. Differences in dose were assessed with the Mann-Whitney U test. RESULTS The median effective dose for the investigative protocol was 0.04 mSv (95% confidence interval [ CI confidence interval ]: 0.034 mSv, 0.10 mSv) for children and 0.05 mSv (95% CI confidence interval : 0.04 mSv, 0.08 mSv) for adults. These doses were much lower than those with conventional CT (median: 0.52 mSv [95% CI confidence interval : 0.31 mSv, 3.90 mSv] for children and 1.12 mSv [95% CI confidence interval : 0.57 mSv, 3.15 mSv] for adults) and of the same order of magnitude as those for conventional radiography (median: 0.012 mSv [95% CI confidence interval : 0.006 mSv, 0.022 mSv] for children and 0.012 mSv [95% CI confidence interval : 0.005 mSv, 0.031 mSv] for adults). All images were rated at least as diagnostically acceptable. Very good agreement was found in overall Bhalla score ( ICC intraclass correlation coefficient , 0.96) with regard to the severity of bronchiectasis ( ICC intraclass correlation coefficient , 0.87) and sacculations and abscesses ( ICC intraclass correlation coefficient , 0.84). Interobserver agreement was excellent ( ICC intraclass correlation coefficient , 0.86-1). CONCLUSION For patients with CF cystic fibrosis , a dedicated chest CT protocol can replace the two yearly follow-up chest radiographic examinations without major dose penalty and with similar diagnostic quality compared with conventional CT.


Radiotherapy and Oncology | 2015

Feasibility of markerless tumor tracking by sequential dual-energy fluoroscopy on a clinical tumor tracking system

J. Dhont; Dirk Verellen; K. Poels; Koen Tournel; M. Burghelea; T. Gevaert; C. Collen; Benedikt Engels; Robbe Van den Begin; Nico Buls; Gert Van Gompel; Toon Van Cauteren; Guy Storme; Mark De Ridder

A novel approach to dual-energy imaging for markerless tumor tracking was proposed consisting of sequential dual-energy fluoroscopy, omitting the need for fast-switching kV generators. The implementation of this approach on a clinical tumor tracking system and its efficacy is shown feasible through optimization of the imaging parameters.


Insights Into Imaging | 2015

Dual-energy CT after radiofrequency ablation of liver, kidney, and lung lesions: a review of features

Frederik Vandenbroucke; Steven Van Hedent; Gert Van Gompel; Nico Buls; Gordon Craggs; Jef Vandemeulebroucke; Pablo R. Ros; Johan De Mey

AbstractEarly detection of residual tumour and local tumour progression (LTP) after radiofrequency (RF) ablation is crucial in the decision whether or not to re-ablate. In general, standard contrast-enhanced computed tomography (CT) is used to evaluate the technique effectiveness; however, it is difficult to differentiate post-treatment changes from residual tumour. Dual-energy CT (DECT) is a relatively new technique that enables more specific tissue characterisation of iodine-enhanced structures because of the isolation of iodine in the imaging data. Necrotic post-ablation zones can be depicted as avascular regions by DECT on greyscale- and colour-coded iodine images. Synthesised monochromatic images from dual-energy CT with spectral analysis can be used to select the optimal keV to achieve the highest contrast-to-noise ratio between tissues. This facilitates outlining the interface between the ablation zone and surrounding tissue. Post-processing of DECT data can lead to an improved characterisation and delineation of benign post-ablation changes from LTP. Radiologists need to be familiar with typical post-ablation image interpretations when using DECT techniques. Here, we review the spectrum of changes after RF ablation of liver, kidney, and lung lesions using single-source DECT imaging, with the emphasis on the additional information obtained and pitfalls encountered with this relatively new technique. Teaching Points•Technical success of RF ablation means complete destruction of the tumour.•Assessment of residual tumour on contrast-enhanced CT is hindered by post-ablative changes.•DECT improves material differentiation and may improve focal lesion characterisation.•Iodine maps delineate the treated area from the surrounding parenchyma well.


Acta Orthopaedica | 2016

Development and validation of an automated and marker-free CT-based spatial analysis method (CTSA) for assessment of femoral hip implant migration In vitro accuracy and precision comparable to that of radiostereometric analysis (RSA)

Thierry Scheerlinck; Mathias Polfliet; Rudi Deklerck; Gert Van Gompel; Nico Buls; Jef Vandemeulebroucke

Background and purpose — We developed a marker-free automated CT-based spatial analysis (CTSA) method to detect stem-bone migration in consecutive CT datasets and assessed the accuracy and precision in vitro. Our aim was to demonstrate that in vitro accuracy and precision of CTSA is comparable to that of radiostereometric analysis (RSA). Material and methods — Stem and bone were segmented in 2 CT datasets and both were registered pairwise. The resulting rigid transformations were compared and transferred to an anatomically sound coordinate system, taking the stem as reference. This resulted in 3 translation parameters and 3 rotation parameters describing the relative amount of stem-bone displacement, and it allowed calculation of the point of maximal stem migration. Accuracy was evaluated in 39 comparisons by imposing known stem migration on a stem-bone model. Precision was estimated in 20 comparisons based on a zero-migration model, and in 5 patients without stem loosening. Results — Limits of the 95% tolerance intervals (TIs) for accuracy did not exceed 0.28 mm for translations and 0.20° for rotations (largest standard deviation of the signed error (SDSE): 0.081 mm and 0.057°). In vitro, limits of the 95% TI for precision in a clinically relevant setting (8 comparisons) were below 0.09 mm and 0.14° (largest SDSE: 0.012 mm and 0.020°). In patients, the precision was lower, but acceptable, and dependent on CT scan resolution. Interpretation — CTSA allows detection of stem-bone migration with an accuracy and precision comparable to that of RSA. It could be valuable for evaluation of subtle stem loosening in clinical practice.


Proceedings of SPIE | 2013

Automated Estimation of Hip Prosthesis Migration: a Feasibility Study

Jef Vandemeulebroucke; Rudi Deklerck; Frederik Temmermans; Gert Van Gompel; Nico Buls; Thierry Scheerlinck; Johan De Mey

A common complication associated with hip arthoplasty is prosthesis migration, and for most cemented components a migration greater than 0.85 mm within the first six months after surgery, are an indicator for prosthesis failure. Currently, prosthesis migration is evaluated using X-ray images, which can only reliably estimate migrations larger than 5 mm. We propose an automated method for estimating prosthesis migration more accurately, using CT images and image registration techniques. We report on the results obtained using an experimental set-up, in which a metal prosthesis can be translated and rotated with respect to a cadaver femur, over distances and angles applied using a combination of positioning stages. Images are first preprocessed to reduce artefacts. Bone and prosthesis are extracted using consecutive thresholding and morphological operations. Two registrations are performed, one aligning the bones and the other aligning the prostheses. The migration is estimated as the difference between the found transformations. We use a robust, multi-resolution, stochastic optimization approach, and compare the mean squared intensity differences (MS) to mutual information (MI). 30 high-resolution helical CT scans were acquired for prosthesis translations ranging from 0.05 mm to 4 mm, and rotations ranging from 0.3° to 3° . For the translations, the mean 3D registration error was found to be 0.22 mm for MS, and 0.15 mm for MI. For the rotations, the standard deviation of the estimation error was 0.18° for MS, and 0.08° for MI. The results show that the proposed approach is feasible and that clinically acceptable accuracies can be obtained. Clinical validation studies on patient images will now be undertaken.


Archive | 2018

Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography

Pieter Thomas Boonen; Nico Buls; Gert Van Gompel; Yannick De Brucker; Dimitri Aerden; Johan De Mey; Jef Vandemeulebroucke

Contrast-enhanced computed tomography angiography (CE-CTA) provides valuable, non-invasive assessment of lower extremity peripheral arterial disease (PAD). The advent of wide beam CT scanners has enabled multiple CT acquisitions over the same structure at a high frame rate, facilitating time-resolved CTA acquisitions. In this study, we investigate the technical feasibility of automatically quantifying the bolus arrival time and blood velocity in the arteries below the knee from time-resolved CTA. Our approach is based on arterial segmentation and local estimation of the bolus arrival time. The results are compared to values obtained through manual reading of the datasets and show good agreement. Based on a small patient study, we explore initial utility of these quantitative measures for the diagnosis of lower extremity PAD.


Archive | 2015

Estimation of Hip Prosthesis Migration: A Study of Zero Migration

Mathias Polfliet; Jef Vandemeulebroucke; Gert Van Gompel; Nico Buls; Rudi Deklerck; Thierry Scheerlinck

We present a method for automatically estimating prosthesis migration from previous and follow-up CT image data. The method consists of the segmentation of the bone and prosthesis in both images, followed by a registration of both substructures. The migration is found by computing the difference between both transforms. In this work we assess the accuracy of the method for zero migration. The method was applied on data from a mechanical phantom and on patient data, both with zero migration. Our experiments show that an accuracy of less than 0.3 mm can be achieved in a clinical setting.


international conference on digital mammography | 2010

Image quality phantom in close compliance with the ICRU-44 breast tissue substitute standard and realistic background noise pattern for digital breast tomosynthesis

Steven Raeymaeckers; Nico Buls; Gert Van Gompel; Catherine Breucq; Johan De Mey

Digital breast tomosynthesis (DBT) is an emerging technique that allows for slices parallel with the detector to be constructed through the breast, as opposed to two dimensional mammography Present phantoms for use on mammography systems are two dimensional in nature and focus mainly on differences in contrast Since tomosynthesis is a three-dimensional-technique, a suitable phantom for use on a DBT-system should contain different overlying structures, as is the case within a real breast We present a method to construct such a three dimensional phantom from a liquid polyurethane-basis that contains overlapping masses, microcalcifications and a representative anatomical background This way a representative quantitative phantom could be constructed for image quality control on a DBT-system.


European Radiology | 2015

Contrast agent and radiation dose reduction in abdominal CT by a combination of low tube voltage and advanced image reconstruction algorithms

Nico Buls; Gert Van Gompel; Toon Van Cauteren; Koenraad Nieboer; Inneke Willekens; Guy Verfaillie; Paul Evans; Sven Macholl; Ben Newton; Johan De Mey

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Johan De Mey

Vrije Universiteit Brussel

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Nico Buls

VU University Amsterdam

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Nico Buls

VU University Amsterdam

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Koenraad Nieboer

Vrije Universiteit Brussel

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Caroline Ernst

Vrije Universiteit Brussel

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Filip Verhelle

Vrije Universiteit Brussel

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Rudi Deklerck

Vrije Universiteit Brussel

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