Search

Your search keyword '"de Senneville, B. Denis"' showing total 21 results
Start Over Author "de Senneville, B. Denis" Search Limiters Full Text
21 results on '"de Senneville, B. Denis"'

3. Technical Note: Intensity-based quality assurance criteria for deformable image registration in image-guided radiotherapy

Author

Cancer, Experimentele klinische fysica, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Bosma, L S, Zachiu, C, de Senneville, B Denis, Raaymakers, B W, Ries, M, Cancer, Experimentele klinische fysica, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Bosma, L S, Zachiu, C, de Senneville, B Denis, Raaymakers, B W, and Ries, M

Published
2023

4. Robust quality assurance criteria for deformable image registration for adaptive radiotherapy

Author

Experimentele klinische fysica, Cancer, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Bosma, L., Zachiu, C., de Senneville, B. Denis, Raaymakers, B., Ries, M., Experimentele klinische fysica, Cancer, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Bosma, L., Zachiu, C., de Senneville, B. Denis, Raaymakers, B., and Ries, M.

Published
2021

5. Deep correction of breathing-related artifacts in real-time MR-thermometry

Author

Researchgr. Beeldg. Moleculaire Interv., Cancer, Regenerative Medicine and Stem Cells, de Senneville, B Denis, Coupé, P, Ries, M, Facq, L, Moonen, C T W, Researchgr. Beeldg. Moleculaire Interv., Cancer, Regenerative Medicine and Stem Cells, de Senneville, B Denis, Coupé, P, Ries, M, Facq, L, and Moonen, C T W

Published
2021

6. Patch-based field-of-view matching in multi-modal images for electroporation-based ablations

Author

Experimentele klinische fysica, Cancer, Researchgr. Beeldg. Moleculaire Interv., Lafitte, L, Giraud, R, Zachiu, C, Ries, M, Sutter, O, Petit, A, Seror, O, Poignard, C, de Senneville, B Denis, Experimentele klinische fysica, Cancer, Researchgr. Beeldg. Moleculaire Interv., Lafitte, L, Giraud, R, Zachiu, C, Ries, M, Sutter, O, Petit, A, Seror, O, Poignard, C, and de Senneville, B Denis

Published
2020

7. Anatomically plausible models and quality assurance criteria for online mono- and multi-modal medical image registration

Author

Zachiu, Cornel, de Senneville, B Denis, Moonen, Chrit, Raaymakers, Bas, Ries, Mario, Denis De Senneville, Baudouin, Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie, and Université Bordeaux Segalen - Bordeaux 2-IFR8-Centre National de la Recherche Scientifique (CNRS)

Subjects
anatomically plausible registration models, Medical image registration, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, registration quality assurance criteria, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Medical imaging is currently employed in the diagnosis, planning, delivery and response monitoring of cancer treatments. Due to physiological motion and/or treatment response, the shape and location of the pathology and organs-at-risk may change over time. Establishing their location within the acquired images is therefore paramount for an accurate treatment delivery and monitoring. A feasible solution for tracking anatomical changes during an image-guided cancer treatment is provided by image registration algorithms. Such methods are, however, often built upon elements originating from the computer vision/graphics domain. Since the original design of such elements did not take into consideration the material properties of particular biological tissues, the anatomical plausibility of the estimated deformations may not be guaranteed. In the current work we adapt two existing variational registration algorithms, namely Horn-Schunck and EVolution, to online soft tissue tracking. This is achieved by enforcing an incompressibility constraint on the estimated deformations during the registration process. The existing and the modified registration methods were comparatively tested against several quality assurance criteria on abdominal in-vivo MR and CT data. These criteria included: the Dice Similarity Coefficient (DSC), the Jaccard index, the target registration error (TRE) and three additional criteria evaluating the anatomical plausibility of the estimated deformations. Results demonstrated that both the original and the modified registration methods have similar registration capabilities in high-contrast areas, with DSC and Jaccard index values predominantly in the 0.8-0.9 range and an average TRE of 1.6-2.0 mm. In contrast-devoid regions of the liver and kidneys, however, the three additional quality assurance criteria have indicated a considerable improvement of the anatomical plausibility of the deformations estimated by the incompressibility-constrained methods. Moreover, the proposed registration models maintain the potential of the original methods for online image-based guidance of cancer treatments.

Published
2018

8. Real-time auto-adaptive margin generation for MLC-tracked radiotherapy

Author

Glitzner, M, Fast, M F, de Senneville, B Denis, Nill, S, Oelfke, U, Lagendijk, J J W, Raaymakers, B W, and Crijns, S P M

Subjects
Journal Article, MLC, tracking, margins, error, statistics, real-time
Abstract

In radiotherapy, abdominal and thoracic sites are candidates for performing motion tracking. With real-time control it is possible to adjust the multileaf collimator (MLC) position to the target position. However, positions are not perfectly matched and position errors arise from system delays and complicated response of the electromechanic MLC system. Although, it is possible to compensate parts of these errors by using predictors, residual errors remain and need to be compensated to retain target coverage. This work presents a method to statistically describe tracking errors and to automatically derive a patient-specific, per-segment margin to compensate the arising underdosage on-line, i.e. during plan delivery. The statistics of the geometric error between intended and actual machine position are derived using kernel density estimators. Subsequently a margin is calculated on-line according to a selected coverage parameter, which determines the amount of accepted underdosage. The margin is then applied onto the actual segment to accommodate the positioning errors in the enlarged segment. The proof-of-concept was tested in an on-line tracking experiment and showed the ability to recover underdosages for two test cases, increasing [Formula: see text] in the underdosed area about [Formula: see text] and [Formula: see text], respectively. The used dose model was able to predict the loss of dose due to tracking errors and could be used to infer the necessary margins. The implementation had a running time of 23 ms which is compatible with real-time requirements of MLC tracking systems. The auto-adaptivity to machine and patient characteristics makes the technique a generic yet intuitive candidate to avoid underdosages due to MLC tracking errors.

Published
2017

9. Real-time auto-adaptive margin generation for MLC-tracked radiotherapy

Author

Cancer, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Fysica Radiotherapie Research, Experimentele klinische fysica, Glitzner, M, Fast, M F, de Senneville, B Denis, Nill, S, Oelfke, U, Lagendijk, J J W, Raaymakers, B W, Crijns, S P M, Cancer, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Fysica Radiotherapie Research, Experimentele klinische fysica, Glitzner, M, Fast, M F, de Senneville, B Denis, Nill, S, Oelfke, U, Lagendijk, J J W, Raaymakers, B W, and Crijns, S P M

Published
2017

16. An automated optimization tool for high-dose-rate (HDR) prostate brachytherapy with divergent needle pattern

Author

Fysica Radiotherapie Research, Cancer, Arts-assistenten Radiotherapie, Researchgr. Beeldg. Moleculaire Interv., Klinische Fysica RT, MS Radiotherapie, Borot, Maxence, Maenhout, M., de Senneville, B. Denis, Hautvast, G., Binnekamp, D., Lagendijk, J. J. W., van Vulpen, M., Moerland, M. A., Fysica Radiotherapie Research, Cancer, Arts-assistenten Radiotherapie, Researchgr. Beeldg. Moleculaire Interv., Klinische Fysica RT, MS Radiotherapie, Borot, Maxence, Maenhout, M., de Senneville, B. Denis, Hautvast, G., Binnekamp, D., Lagendijk, J. J. W., van Vulpen, M., and Moerland, M. A.

Published
2015

18. On the suitability of Elekta's Agility 160 MLC for tracked radiation delivery: closed-loop machine performance

Author

Experimentele klinische fysica, Cancer, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Fysica Radiotherapie Research, Glitzner, M., Crijns, S. P. M., de Senneville, B. Denis, Lagendijk, J. J. W., Raaymakers, B. W., Experimentele klinische fysica, Cancer, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Fysica Radiotherapie Research, Glitzner, M., Crijns, S. P. M., de Senneville, B. Denis, Lagendijk, J. J. W., and Raaymakers, B. W.

Published
2015

19. On-line 3D motion estimation using low resolution MRI

Author

Fysica Radiotherapie Research, Cancer, Experimentele klinische fysica, Researchgr. Beeldg. Moleculaire Interv., Klinische Fysica RT, Glitzner, M, de Senneville, B Denis, Lagendijk, J J W, Raaymakers, B W, Crijns, S P M, Fysica Radiotherapie Research, Cancer, Experimentele klinische fysica, Researchgr. Beeldg. Moleculaire Interv., Klinische Fysica RT, Glitzner, M, de Senneville, B Denis, Lagendijk, J J W, Raaymakers, B W, and Crijns, S P M

Published
2015

20. On-line MR imaging for dose validation of abdominal radiotherapy

Author

Fysica Radiotherapie Research, Cancer, Experimentele klinische fysica, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Onderzoek Radiotherapie, Glitzner, M, Crijns, S P M, de Senneville, B Denis, Kontaxis, C, Prins, F M, Lagendijk, J J W, Raaymakers, B W, Fysica Radiotherapie Research, Cancer, Experimentele klinische fysica, Klinische Fysica RT, Researchgr. Beeldg. Moleculaire Interv., Onderzoek Radiotherapie, Glitzner, M, Crijns, S P M, de Senneville, B Denis, Kontaxis, C, Prins, F M, Lagendijk, J J W, and Raaymakers, B W

Published
2015

21. Performance analysis of a dedicated breast MR-HIFU system for tumor ablation in breast cancer patients

Author

Researchgr. Beeldg. Moleculaire Interv., Cancer, Arts-assistenten Radiotherapie, Onderzoek Beeld, MS Radiologie, Divisie Beeld & Oncologie, Beeldverwerking ISI, Deckers, R., Merckel, L. G., de Senneville, B. Denis, Schubert, G., Koehler, M., Knuttel, F.M., Mali, W.P.Th.M., Moonen, C. T. W., van den Bosch, Maurice, Bartels, L. W., Researchgr. Beeldg. Moleculaire Interv., Cancer, Arts-assistenten Radiotherapie, Onderzoek Beeld, MS Radiologie, Divisie Beeld & Oncologie, Beeldverwerking ISI, Deckers, R., Merckel, L. G., de Senneville, B. Denis, Schubert, G., Koehler, M., Knuttel, F.M., Mali, W.P.Th.M., Moonen, C. T. W., van den Bosch, Maurice, and Bartels, L. W.

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results