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A direct PCA-based approach for real-time description of physiological organ deformations
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
| hal.structure.identifier | Laboratoire des Sciences de l'Ingénieur pour l'Environnement - UMR 7356 [LaSIE] | |
| dc.contributor.author | EL HAMIDI, Abdallah | |
| hal.structure.identifier | Imaging Division | |
| dc.contributor.author | MOONEN, Chrit | |
| dc.date.accessioned | 2024-04-04T03:09:03Z | |
| dc.date.available | 2024-04-04T03:09:03Z | |
| dc.date.issued | 2015-03-01 | |
| dc.identifier.issn | 0278-0062 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193579 | |
| dc.description.abstractEn | Dynamic MR-imaging can provide functional and positional information in real-time, which can be conveniently used on-line to control a cancer therapy, e.g. using High Intensity Focused Ultrasound or Radio Therapy. However, a precise real-time correction for motion is fundamental in abdominal organs to ensure an optimal treatment dose associated with a limited toxicity in nearby organs at risk.This paper proposes a real-time direct PCA-based technique which offers a robust approach for motion estimation of abdominal organs and allows correcting motion related artifacts. The PCA was used to detect spatio-temporal coherences of the periodic organ motion in a learning step. During the interventional procedure, physiological contributions were characterized quantitatively using a small set of parameters. A coarse-to-fineresolution scheme is proposed to improve the stability of the algorithm and afford a predictable constant latency of 80 ms.The technique was evaluated on 12 free-breathing volunteers and provided an improved real-time description of motion related to both breathing and cardiac cycles. A reduced learning step of 10 s was sufficient without any need for patient-specific control parameters, rendering the method suitable for clinical use. | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.title.en | A direct PCA-based approach for real-time description of physiological organ deformations | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1109/TMI.2014.2371995 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| bordeaux.journal | IEEE Transactions on Medical Imaging | |
| bordeaux.page | 974-982 | |
| bordeaux.volume | 34 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.issue | 4 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01083281 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01083281v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE%20Transactions%20on%20Medical%20Imaging&rft.date=2015-03-01&rft.volume=34&rft.issue=4&rft.spage=974-982&rft.epage=974-982&rft.eissn=0278-0062&rft.issn=0278-0062&rft.au=DENIS%20DE%20SENNEVILLE,%20Baudouin&EL%20HAMIDI,%20Abdallah&MOONEN,%20Chrit&rft.genre=article |
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