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Your search keyword '"Raaymakers, B.W."' showing total 119 results
Start Over Author "Raaymakers, B.W." Publication Type Academic Journals
119 results on '"Raaymakers, B.W."'

4. The transformation of radiation oncology using real-time magnetic resonance guidance: A review

Author

Hall, William A., Paulson, Eric S., van der Heide, Uulke A., Fuller, Clifton D., Raaymakers, B.W., Lagendijk, Jan J.W., Li, X. Allen, Jaffray, David A., Dawson, Laura A., Erickson, Beth, Verheij, Marcel, Harrington, Kevin J., Sahgal, Arjun, Lee, Percy, Parikh, Parag J., Bassetti, Michael F., Robinson, Clifford G., Minsky, Bruce D., Choudhury, Ananya, Tersteeg, Robert J.H.A., and Schultz, Christopher J.

Published
2019
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6. Treatment planning of brain implants using vascular information and a new template technique

Author

Bree, J. De, Lagendijk, J.J.W., Raaymakers, B.W., Bakker, C.J.G., Hulshof, M.C.C.M., Koot, R.W., Hanlo, P.W., Struikmans, H., Ramos, L.M.P., and Battermann, J.J.

Subjects
Implants, Artificial -- Research, Brain tumors -- Care and treatment, Medical imaging equipment -- Research, Hyperthermia treatment systems (Medical care) -- Research, Business, Electronics, Electronics and electrical industries, Health care industry
Abstract

A new template technique has been developed for implanting hyperthermia catheters in the treatment of brain tumors. The technique utilizes an imaging template and a drill template which can be rigidly secured to the head with three skull screws. The anatomic and vascular information needed for hyperthermia treatment planning may be assessed with three-dimensional magnetic resonance (MR) imaging and angiography acquisitions which use a surface coil. In the companioning treatment planning system the catheter positions and lengths and the electrodes in the catheter can be interactively manipulated relative to the anatomy and vasculature. The visualization of the blood vessels relative to the template allows the minimization of the risk on intracranial hemorrhages. This template technique is useful for any brain tumor implants, especially when a large number of catheters are involved. A phantom test has shown that this procedure has an accuracy in the order of 1 mm provided that the MR-related geometry distortions are minimized. Index Terms - Brain implants, implantation template, interstitial hyperthermia, treatment planning.

Published
1998

10. Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks.

Author

Eppenhof, K.A.J., Maspero, M., Savenije, M.H.F., de Boer, J.C.J., van der Voort van Zyp, J.R.N., Raaymakers, B.W., Raaijmakers, A.J.E., Veta, M., van den Berg, C.A.T., and Pluim, J.P.W.

Subjects
ARTIFICIAL neural networks, IMAGE registration, PROSTATE, MAGNETIC resonance imaging, IMAGE-guided radiation therapy, EXOCRINE glands, PROSTATE cancer patients
Abstract

Purpose: To quickly and automatically propagate organ contours from pretreatment to fraction images in magnetic resonance (MR)‐guided prostate external‐beam radiotherapy. Methods: Five prostate cancer patients underwent 20 fractions of image‐guided external‐beam radiotherapy on a 1.5 T MR‐Linac system. For each patient, a pretreatment T2‐weighted three‐dimensional (3D) MR imaging (MRI) scan was used to delineate the clinical target volume (CTV) contours. The same scan was repeated during each fraction, with the CTV contour being manually adapted if necessary. A convolutional neural network (CNN) was trained for combined image registration and contour propagation. The network estimated the propagated contour and a deformation field between the two input images. The training set consisted of a synthetically generated ground truth of randomly deformed images and prostate segmentations. We performed a leave‐one‐out cross‐validation on the five patients and propagated the prostate segmentations from the pretreatment to the fraction scans. Three variants of the CNN, aimed at investigating supervision based on optimizing segmentation overlap, optimizing the registration, and a combination of the two were compared to results of the open‐source deformable registration software package Elastix. Results: The neural networks trained on segmentation overlap or the combined objective achieved significantly better Hausdorff distances between predicted and ground truth contours than Elastix, at the much faster registration speed of 0.5 s. The CNN variant trained to optimize both the prostate overlap and deformation field, and the variant trained to only maximize the prostate overlap, produced the best propagation results. Conclusions: A CNN trained on maximizing prostate overlap and minimizing registration errors provides a fast and accurate method for deformable contour propagation for prostate MR‐guided radiotherapy. [ABSTRACT FROM AUTHOR]

Published
2020
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19. EP-1624 First clinical experiences with SBRT on the 1.5 T MR-linac for pelvic lymph node oligometastases

Author

Werensteijn-Honingh, A.M., Kroon, P.S., Winkel, D., Aalbers, E.M., Van Asselen, B., Bol, G.H., Brown, K.J., Eppinga, W.S.C., Glitzner, M., Breugel, E.N. De Groot-van, Hackett, S.L., Intven, M., Kok, J.G.M., Kotte, A.N., Lagendijk, J.J.W., Philippens, M.E.P., Tijssen, R.H.N., Wolthaus, J.W.H., Woodings, S.J., Raaymakers, B.W., and Jürgenliemk-Schulz, I.M.

Published
2019
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31. PO-0863: “First in Man” treatments with the MRI-linac provide clinical proof of the concept

Author

Jürgenliemk-Schulz, I.M., Raaymakers, B.W., Van Asselen, B., Bol, G.H., Brown, K.J., Doornaert, P., De Groot-van Breugel, E.N., Hackett, S.L., Kasperts, N., Kiekebosch, I.H., Kerkmeijer, L.G.W., Kok, J.G.M., Kotte, A.N.T., Meijers, L.T.C., Nomden, C.N., Pais, B.R., Philippens, M.E.P., Sikkes, G.G., Tersteeg, J.H.A., Tijssen, R.H.N., Wolthaus, J.W.H., Woodings, S.J., and Lagendijk, J.J.W.

Published
2018
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