Volumetric Cardiac Quantification by Using 3D Dual-Phase Whole-Heart MR Imaging

Uribe, Sergio; Tangchaoren, Tarinee; Parish, Victoria; Wolf, Ivo; Razavi, Reza; Greil, Gerald; Schaeffter, Tobias

doi:10.1148/radiol.2482071568

Cited by 35 publications

(37 citation statements)

References 19 publications

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“…Our method was evaluated on 22 3D SSFP MRI scans acquired at King's College London [13] and 8 3D CTA cases acquired in the Erasmus MC (Rotterdam, The Netherlands) [7]. MRI images had a size of 256 × 256 × 140 and the CTA mean size is 512 × 512 × 274.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion

Zuluaga

Cardoso

Modat

et al. 2013

Functional Imaging and Modeling of the Heart

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Abstract. Accurate segmentation of the whole heart from 3D image sequences is an important step in the developement of clinical applications. As manual delineation is a tedious task that is prone to errors and dependant on the expertise of the observer, fully automated segmentation methods are highly desirable. In this work, we present a fully automated method for the segmentation of the whole heart and the great vessels from 3D images. The method is based on a muti-atlas propagation segmentation scheme, that has been proven to be succesful in brain segmentation. Based on a cross correlation metric, our method selects the best atlases for propagation allowing the refinement of the segmentation at each iteration of the propagation. We show that our method allows segmentation from multiple image modalities by validating it on computed tomography angiography (CTA) and magnetic resonance images (MRI). Our results are comparable to state-of-the-art methods on CTA and MRI with average Dice scores of 90.9% and 89.0% for the whole heart when evaluated on a 23 and 8 cases, respectively.

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Section: Experiments and Resultsmentioning

confidence: 99%

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion

Zuluaga

Cardoso

Modat

et al. 2013

Functional Imaging and Modeling of the Heart

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show abstract

“…Twenty-three 3D ECG-and respiratory-gated MRI volumes, images size 256 × 256 × 140, were acquired at King's College London [11]. We denote this the set S 1 .…”

Section: Methodsmentioning

confidence: 99%

Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study

Biffi

Zuluaga

Ourselin

et al. 2016

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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Abstract. Mitral valve regurgitation replacement could be benefited by the use of pre-surgical 3D models that would allow the clinician to better understand the patient's structural and functional information before surgery. As no single image modality can provide all this information, it is necessary to fuse 3D transthoracic echo (TTE) and magnetic resonance imaging (MRI) to obtain a complete model. The registration of these two modalities, within the context of cardiac imaging, is a challenging task that requires manual intervention or the use of anatomical landmarks that can drive the registration. Within the context of mitral valve planning, the papillary muscles represent an ideal landmark set as they can be clearly identified in both modalities. However, to date little work has addressed the problem of papillary muscle segmentation. In this paper, we apply an atlas-based segmentation method for the automatic extraction of papillary muscles from MRI. Results show that a good quality segmentation (Dice score 0.67 ± 0.13) can be achieved within the straightforward pipeline provided by this approach. Hence, our atlas-based segmentation method could represent the first key step towards a novel TTE-MRI fusion algorithm.

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“…Generally, the inspection process is preceded by a tedious segmentation step, separating cardiovascular structures, and identifying the blood-flow regions. Amongst others, such pre-clinical studies are presented by Markl et al [17,18] and Uribe et al [26]. A number of tools facilitate inspection of the 4D MRI bloodflow data.…”

Section: Related Workmentioning

confidence: 99%

Interactive Virtual Probing of 4D MRI Blood-Flow

Pelt

Bescós

Breeuwer

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Interactive virtual probe with flow visualization approaches, enabling exploration of cardiovascular 4D MRI blood-flow data. Color in the leftmost rendition encodes the blood-flow vorticity, while color in other renditions conveys the local blood-flow speed.Abstract-Better understanding of hemodynamics conceivably leads to improved diagnosis and prognosis of cardiovascular diseases. Therefore, an elaborate analysis of the blood-flow in heart and thoracic arteries is essential. Contemporary MRI techniques enable acquisition of quantitative time-resolved flow information, resulting in 4D velocity fields that capture the blood-flow behavior. Visual exploration of these fields provides comprehensive insight into the unsteady blood-flow behavior, and precedes a quantitative analysis of additional blood-flow parameters. The complete inspection requires accurate segmentation of anatomical structures, encompassing a time-consuming and hard-to-automate process, especially for malformed morphologies. We present a way to avoid the laborious segmentation process in case of qualitative inspection, by introducing an interactive virtual probe. This probe is positioned semi-automatically within the blood-flow field, and serves as a navigational object for visual exploration. The difficult task of determining position and orientation along the view-direction is automated by a fitting approach, aligning the probe with the orientations of the velocity field. The aligned probe provides an interactive seeding basis for various flow visualization approaches. We demonstrate illustration-inspired particles, integral lines and integral surfaces, conveying distinct characteristics of the unsteady blood-flow. Lastly, we present the results of an evaluation with domain experts, valuing the practical use of our probe and flow visualization techniques.

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Volumetric Cardiac Quantification by Using 3D Dual-Phase Whole-Heart MR Imaging

Cited by 35 publications

References 19 publications

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion

Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study

Interactive Virtual Probing of 4D MRI Blood-Flow

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