Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?

Duchateau, Nicolás; Craene, Mathieu De; Pennec, Xavier; Merino, Beatriz; Sitges, Marta; Bijnens, Bart

doi:10.1007/978-3-642-33555-6_3

Cited by 9 publications

(9 citation statements)

References 21 publications

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“…Based on the atlas, the cardiac shape or function of a popula- Rougon et al (2004) Tagged MR 11 healthy Statistical motion model Suinesiaputra et al (2009) 2D cine MR 44 healthy Statistical contour model Fonseca et al (2011) 2D cine MR 2864 healthy, 470 patients Statistical shape model Duchateau et al (2011) 2D US 21 healthy Statistical motion model Duchateau et al (2012) 2D Ecabert et al (2008) CT 13 patients Statistical shape model Zhuang et al (2010) Whole-heart MR 10 healthy - Hoogendoorn et al (2013) CT 138 patients Statistical shape model tion can be analysed and compared in a common space. The statistical shape model is the most commonly used tool for shape analysis.…”

Section: Related Workmentioning

confidence: 99%

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A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

Bai

Shi

Marvao

et al. 2015

Medical Image Analysis

126

116

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Section: Related Workmentioning

confidence: 99%

“…We use the change of coordinates method here due to its simplicity, which regards the the transport of the vector field as a re-orientation process by the Jacobian matrix. De Craene and Duchateau et al applied similar techniques in Duchateau et al, 2012).…”

Section: Statistical Motion Modelmentioning

confidence: 99%

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

Bai

Shi

Marvao

et al. 2015

Medical Image Analysis

126

116

View full text Add to dashboard Cite

“…This requires to normalize the studied data to a reference system of spatiotemporal coordinates, as settled in statistical atlas applications (Duchateau et al, 2011). Anatomical normalization generally builds upon parallel transport techniques Duchateau et al, 2012a;. Temporal normalization addresses possible variations in the length of the cardiac cycle and its intrinsic physiological phases (Perperidis et al, 2005;Duchateau et al, 2011;Russell et al, 2012).…”

Section: General Context and Methodsmentioning

confidence: 99%

“…Thus, there is equivalence between the two following processes, considering the displacement vector of a given subject at a given spatiotemporal location: (i) looking at its radial/longitudinal components at this location or at its corresponding location in the reference anatomy; and (ii) rotating it, from the radial/longitudinal system of coordinates at this location to the radial/longitudinal system of coordinates of the reference anatomy at this anatomical location, and looking at its radial/longitudinal components. Given this, our implementation is equivalent to the rotation-only scheme in a Lagrangian point-of-view described in Duchateau et al (2012a).…”

Section: Spatiotemporal Resampling and Normalizationmentioning

confidence: 99%

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Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences

Duchateau¹,

Giraldeau²,

Gabrielli³

et al. 2015

Medical Image Analysis

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Time-to-peak measurements and single-parameter observations are cumbersome and often confusing for quantifying local changes in myocardial function. Recent spatiotemporal normalization techniques can provide a global picture of myocardial motion and strain patterns and overcome some of these limitations. Despite these advances, the quantification of pattern changes remains descriptive, which limits their relevance for longitudinal studies. Our paper provides a new perspective to the longitudinal analysis of myocardial motion. Non-rigid registration (diffeomorphic registration via currents) is used to match pairs of patterns, and pattern changes are inferred from the registration output. Scalability is added to the different components of the input patterns in order to tune up the contributions of the spatial, temporal and magnitude dimensions to data changes, which are of interest for our application. The technique is illustrated on 2D echocardiographic sequences from 15 patients with hypertrophic obstructive cardiomyopathy. These patients underwent biventricular pacing, which aims at provoking mechanical dyssynchrony to reduce left ventricular outflow tract (LVOT) obstruction. We demonstrate that our method can automatically quantify timing and magnitude changes in myocardial motion between baseline (non-paced) and 1 year follow-up (pacing on), resulting in a more robust analysis of complex patterns and subtle changes. Our method helps confirming that the reduction of LVOT pressure gradient actually comes from the induction of the type of dyssynchrony that was expected.

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Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain

Ahmad

et al. 2019

Lecture Notes in Computer Science

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Infant brain atlases are essential for characterizing structural changes in the developing brain. Volumetric and cortical atlases are typically constructed independently, potentially causing discrepancies between tissue boundaries and cortical surfaces. In this paper, we present a method for surface-volume consistent construction of longitudinal brain atlases of infants from 2 weeks to 12 months of age. We first construct the 12-month atlas via groupwise surface-constrained volumetric registration. The longitudinal displacements of each subject with respect to different time points are then transported parallelly to the 12-month atlas space. The 12-month corticovolumetric atlas is finally warped temporally to each month prior to the 12th month using the transported displacements. Experimental results indicate that the longitudinal atlases generated are consistent in terms of tissue boundaries and cortical surfaces, hence allowing joint surface-volume analysis to be performed in a common space.

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Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?

Cited by 9 publications

References 21 publications

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain

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