Deformable B-Solids and Implicit Snakes for 3D Localization and Tracking of SPAMM MRI Data

Radeva, Petia; Amini, Amir A.; Huang, Jianling

doi:10.1006/cviu.1997.0611

Cited by 86 publications

(49 citation statements)

References 15 publications

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“…11 Epicardial and endocardial borders were manually and interactively traced throughout the entire cardiac cycle (starting at end-diastole) in each temporal frame of the cine images with the B-spline method. 12 The left ventricle was divided into 4 regions: anterior, lateral, inferior, and septum. Segmental ventricular wall thickness also was calculated.…”

Section: Discussionmentioning

confidence: 99%

Occult Cardiac Contractile Dysfunction in Dystrophin-Deficient Children Revealed by Cardiac Magnetic Resonance Strain Imaging

et al. 2005

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Background-Duchenne muscular dystrophy (DMD) is an inherited disease characterized by early onset of skeletal muscle degeneration and progressive weakness. Although dilated cardiomyopathy may occur during adolescence, it is often undetected early in its course because of physical inactivity and generalized debilitation. The purpose of this study was to apply the technique of cardiac magnetic resonance (CMR) tagging to detect occult cardiac dysfunction in young subjects with DMD by measuring myocardial strain and torsion. Methods and Results-Thirteen DMD pediatric subjects without clinically apparent heart disease and 9 age-matched healthy males were recruited. Each was scanned on a 1.5-T clinical scanner to acquire contiguous short-axis planes from the apex to the mitral valve plane and then 3 tagged images at base, midventricle, and apex. Global and segmental myocardial net twist and circumferential strain were computed with the use of 2D homogeneous strain analysis. Ventricular torsion was computed by normalizing net twist by the distance from apex to mitral valve plane. DMD patients exhibited normal left ventricular volumes and ejection fractions but manifested reduced midventricular and basal cross-sectional global circumferential strain compared with the reference group (PϽ0.005). These alterations also appeared in segmental analyses in the septal, anterior, lateral, and inferior walls (PϽ0.05). Conclusions-In patients predisposed to cardiomyopathies because of dystrophinopathy, occult regional cardiac dysfunction can be diagnosed with CMR tagging. This method of strain imaging analysis may offer a sensitive approach for delineating the presence and progression of cardiovascular disease and for assessing therapies designed to modulate the onset and course of heart failure.

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Section: Discussionmentioning

confidence: 99%

Occult Cardiac Contractile Dysfunction in Dystrophin-Deficient Children Revealed by Cardiac Magnetic Resonance Strain Imaging

et al. 2005

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“…The properties of B-splines have been largely proved to be very useful when modeling deformations in many biomedical imaging problems; such as tracking the movement of the left ventricle from MRI images [6], reconstructing the 3-D motion of the cardiac cycle [7] or modeling the motion of the breast by dynamic MR imaging [8].…”

Section: Methodsmentioning

confidence: 99%

Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization

Arganda‐Carreras

Sorzano

Marabini

et al. 2006

Lecture Notes in Computer Science

304

272

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El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Abstract. Here we present a new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image registration, to allow simultaneous registration of images in two directions (direct and inverse). In principle, deformations based on B-splines are not invertible. The consistency term overcomes this limitation and allows registration of two images in a completely symmetric way. This extension of the elastic registration method simplifies the search for the optimum deformation and allows registering with no information about landmarks or deformation regularization. This approach can also be used as the first step to solve the problem of group-wise registration. . . .

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“…In that study, to get the displacement information at any other image point a thin-plate spline based finite difference method has been proposed. They later provided a general framework for the extension of their approach to 3D (Radeva et al 1997). Although their method and ours use the same B-spline concept, there are several differences: (a) we employ a different parametrization method and (b) our starting point for the analysis is segmented tag points not images, so we need a separate tag segmentation algorithm.…”

Section: B-spline Based Tagged Mri Analysismentioning

confidence: 99%

Four-dimensional B-spline based motion analysis of tagged MR images: introduction andin vivovalidation

Ozturk¹,

McVeigh²

2000

Phys. Med. Biol.

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In MRI tagging, magnetic tags-spatially encoded magnetic saturation planes-are created within tissues acting as temporary markers. Their deformation pattern provides useful qualitative and quantitative information about the functional properties of underlying tissue and allows non-invasive analysis of mechanical function. The measured displacement at a given tag point contains only unidirectional information; in order to track the full 3D motion, these data have to be combined with information from other orthogonal tag sets over all time frames. Here, we provide a method to describe the motion of the heart using a four-dimensional tensor product of B-splines. In vivo validation of this tracking algorithm is performed using different tagging sets on the same heart. Using the validation results, the appropriate control point density was determined for normal cardiac motion tracking. Since our motion fields are parametric and based on an image plane based Cartesian coordinate system, trajectories or other derived values (velocity, acceleration, strains...) can be calculated for any desired point within the volume spanned by the control points. This method does not rely on specific chamber geometry, so the motion of any tagged structure can be tracked. Examples of displacement and strain analysis for both ventricles are also presented.

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Deformable B-Solids and Implicit Snakes for 3D Localization and Tracking of SPAMM MRI Data

Cited by 86 publications

References 15 publications

Occult Cardiac Contractile Dysfunction in Dystrophin-Deficient Children Revealed by Cardiac Magnetic Resonance Strain Imaging

Occult Cardiac Contractile Dysfunction in Dystrophin-Deficient Children Revealed by Cardiac Magnetic Resonance Strain Imaging

Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization

Four-dimensional B-spline based motion analysis of tagged MR images: introduction andin vivovalidation

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