3D harmonic phase tracking with anatomical regularization

Autor: Pascal Allain, Alain Manrique, Olivier Bernard, Yitian Zhou, Mathieu De Craene, Eric Saloux, Sherif Makram-Ebeid
Přispěvatelé: Images et Modèles, 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)-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)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), MedisysResearch Lab (Medisys), Philips Research, Service de cardiologie et de pathologie vasculaire [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Signalisation, électrophysiologie et imagerie des lésions d’ischémie-reperfusion myocardique (SEILIRM), Normandie Université (NU)-Normandie Université (NU), GIP Cyceron (Cyceron), Normandie Université (NU)-Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Anatomical regularization
Heart Ventricles
Myocardium incompressibility
Health Informatics
Geometry
030204 cardiovascular system & hematology
Sensitivity and Specificity
Regularization (mathematics)
Ventricular Function
Left
Synthetic data
030218 nuclear medicine & medical imaging
03 medical and health sciences
Elasticity Imaging Techniques
Imaging
Three-Dimensional
0302 clinical medicine
Elastic Modulus
Monogenic phase
Image Interpretation
Computer-Assisted
Humans
Radiology
Nuclear Medicine and imaging
Mathematics
HARP
Radiological and Ultrasound Technology
Reproducibility of Results
3D tagged MR
Image Enhancement
Computer Graphics and Computer-Aided Design
Regression
Quartile
Subtraction Technique
Outlier
Computer Vision and Pattern Recognition
Radial stress
Algorithm
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Algorithms
Zdroj: Medical Image Analysis
Medical Image Analysis, 2015, 26 (1), pp.70-81. ⟨10.1016/j.media.2015.08.003⟩
Medical Image Analysis, Elsevier, 2015, 26 (1), pp.70-81. ⟨10.1016/j.media.2015.08.003⟩
ISSN: 1361-8415
1361-8423
DOI: 10.1016/j.media.2015.08.003⟩
Popis: International audience; This paper presents a novel algorithm that extends HARP to handle 3D tagged MRI images. HARP results were regularized by an original regularization framework defined in an anatomical space of coordinates. In the meantime, myocardium incompressibility was integrated in order to correct the radial strain which is reported to be more challenging to recover. Both the tracking and regularization of LV displacements were done on a volumetric mesh to be computationally efficient. Also, a window-weighted regression method was extended to cardiac motion tracking which helps maintain a low complexity even at finer scales. On healthy volunteers, the tracking accuracy was found to be as accurate as the best candidates of a recent benchmark. Strain accuracy was evaluated on synthetic data, showing low bias and strain errors under 5% (excluding outliers) for longitudinal and circumferential strains, while the second and third quartiles of the radial strain errors are in the (−5%,5%)(−5%,5%) range. In clinical data, strain dispersion was shown to correlate with the extent of transmural fibrosis. Also, reduced deformation values were found inside infarcted segments.
Databáze: OpenAIRE
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