Motion estimation in ultrasound imaging applied to the diagnostic of pelvic floor disorders
| Autor: | Fabien Vidal, Philippe Delachartre, Pierre Leguevaque, Denis Kouame, Adrian Basarab, Remi Abbal, Christophe Vayssière |
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| Přispěvatelé: | Traitement et Compréhension d’Images (IRIT-TCI), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), Weill Cornell Medicine [Qatar], Weill Medical College of Cornell University [New York], CHU Toulouse [Toulouse], Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), IEEE Engineering in Medicine and Biology Society |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
medicine.medical_specialty
Valsalva Maneuver diagnostic imaging [SDV]Life Sciences [q-bio] Urinary Bladder Physics::Medical Physics MESH: Algorithms algorithms 01 natural sciences Signal Pelvic Floor Disorders Pelvis 03 medical and health sciences Motion 0302 clinical medicine Motion estimation 0103 physical sciences [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Medicine Humans Computer vision 010301 acoustics Pelvic organ 030219 obstetrics & reproductive medicine MESH: Humans MESH: Middle Aged Orientation (computer vision) business.industry MESH: Pelvic Floor Disorders / diagnostic imaging ultrasonography Middle Aged Subpixel rendering MESH: Artifacts MESH: Pelvis / diagnostic imaging Ultrasound imaging Female MESH: Urinary Bladder / diagnostic imaging Radiology Artificial intelligence business Artifacts MESH: Female MESH: Valsalva Maneuver Interpolation MESH: Ultrasonography |
| Zdroj: | Proceedings of EMBC 2011 (17 Vol.) ; ISBN : 978-1424441211 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), IEEE Engineering in Medicine and Biology Society, Aug 2011, Boston, Massachusetts, United States. pp.8058--8061, ⟨10.1109/IEMBS.2011.6091987⟩ EMBC |
| DOI: | 10.1109/IEMBS.2011.6091987⟩ |
| Popis: | International audience; The main purpose of this paper is to show the potential of tissue motion estimation in ultrasound imaging for the diagnostic of pelvic floor disorders. We propose to evaluate the tissue motion using a method based on a local deformable model and on image features (local phase and orientation) extracted from the monogenic signal. The proposed method is well adapted to the pelvic organ deformations and estimates motion with subpixel precision without the need for interpolation. The estimated motion is used to visualize the bladder local deformation and to extract quantitative figures such as the deformation parameters and the bladder angle variation. These results could potentially be interesting to characterize the degree of the pelvic organ prolapse. |
| Databáze: | OpenAIRE |
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