A FAST MORPHING-BASED INTERPOLATION FOR MEDICAL IMAGES: APPLICATION TO CONFORMAL RADIOTHERAPY
| العنوان: | A FAST MORPHING-BASED INTERPOLATION FOR MEDICAL IMAGES: APPLICATION TO CONFORMAL RADIOTHERAPY |
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| المؤلفون: | Hussein Atoui, Serge Miguet, David Sarrut |
| المساهمون: | Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Léon Bérard [Lyon] |
| المصدر: | Image Analysis and Stereology Image Analysis and Stereology, International Society for Stereology, 2006, 25 (2), pp.95-103 Image Analysis and Stereology, Vol 25, Iss 2, Pp 95-103 (2011) |
| بيانات النشر: | Slovenian Society for Stereology and Quantitative Image Analysis, 2011. |
| سنة النشر: | 2011 |
| مصطلحات موضوعية: | Acoustics and Ultrasonics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Physics::Medical Physics, MathematicsofComputing_NUMERICALANALYSIS, Bilinear interpolation, 02 engineering and technology, image morphing, 030218 nuclear medicine & medical imaging, Multivariate interpolation, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Instrumentation, Mathematics, lcsh:R5-920, Stairstep interpolation, lcsh:QA1-939, [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [SDV.IB]Life Sciences [q-bio]/Bioengineering, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, lcsh:Medicine (General), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Biotechnology, Interpolation, Materials Science (miscellaneous), General Mathematics, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Linear interpolation, 03 medical and health sciences, block matching, Nearest-neighbor interpolation, registration, mesh warping, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 3D imagery, Radiology, Nuclear Medicine and imaging, ComputingMethodologies_COMPUTERGRAPHICS, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], business.industry, lcsh:Mathematics, Trilinear interpolation, interpolation, Signal Processing, Bicubic interpolation, Artificial intelligence, business |
| الوصف: | http://www.creatis.insa-lyon.fr/~dsarrut/mybib/2006/atoui-ias2006.pdfTest article; A method is presented for fast interpolation between medical images. The method is intended for both slice and projective interpolation. It allows offline interpolation between neighboring slices in tomographic data. Spatial correspondence between adjacent images is established using a block matching algorithm. Interpolation of image intensities is then carried out by morphing between the images. The morphing-based method is compared to standard linear interpolation, block-matching-based interpolation and registration-based interpolation in 3D tomographic data sets. Results show that the proposed method scored similar performance in comparison to registration-based interpolation, and significantly outperforms both linear and block-matching-based interpolation. This method is applied in the context of conformal radiotherapy for online projective interpolation between Digitally Reconstructed Radiographs (DRRs). |
| تدمد: | 1854-5165 1580-3139 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d3c4314230ea9230dd425ec8a18e32cTest https://doi.org/10.5566/ias.v25.p95-103Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....6d3c4314230ea9230dd425ec8a18e32c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18545165 15803139 |
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