Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis

Wollny, Gert; Kellman, Peter; Santos, A.; Ledesma-Carbayo, María J.

doi:10.1016/j.media.2012.02.004

Cited by 50 publications

(56 citation statements)

References 34 publications

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“…In addition we give an overview of the provided data, as well as provide results of motion compensation experiments run with the data that replicate work presented elsewhere [13,20]. In these publications the experiments were executed with different data sets that could not be redistributed freely.…”

Section: Introductionmentioning

confidence: 80%

Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms

Wollny

Kellman

2014

GigaSci

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BackgroundPerfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium. The image series resulting from such acquisition usually exhibits a breathing motion that needs to be compensated for if a further automatic analysis of the perfusion is to be executed. Various algorithms have been presented to facilitate such a motion compensation, but the lack of publicly available data sets hinders a proper, reproducible comparison of these algorithms.MaterialFree breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect were acquired; for each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a virtual hard disk.FindingsTo illustrate the utility of the data set two motion compensation algorithms with publicly available implementations were applied to the data and earlier reported results about the performance of these algorithms could be confirmed.ConclusionThe data repository alongside the evaluation test bed provides the option to reliably compare motion compensation algorithms for myocardial perfusion MRI. In addition, we encourage that researchers add their own annotations to the data set, either to provide inter-observer comparisons of segmentations, or to make other applications possible, for example, the validation of segmentation algorithms.

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Section: Introductionmentioning

confidence: 80%

Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms

Wollny

Kellman

2014

GigaSci

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“…This is likely because the motion in the head–foot direction is the most dominant motion component attributed to breathing, especially when imaging in the short‐axis of the heart . The effect of RHD motion in the other two directions is minor, and could likely be corrected using image‐based registration methods , but we did not investigate these correction methods in our study.…”

Section: Discussionmentioning

confidence: 99%

Free‐breathing cardiac MR stress perfusion with real‐time slice tracking

Basha

Roujol

Kissinger

et al. 2013

Magnetic Resonance in Med

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Purpose To develop a free-breathing cardiac MR perfusion sequence with slice tracking for use after physical exercise. Methods We propose to use a leading navigator, placed immediately before each 2D slice acquisition, for tracking the respiratory motion and updating the slice location in real-time. The proposed sequence was used to acquire CMR perfusion datasets in 12 healthy adult subjects and 8 patients. Images were compared with the conventional perfusion (i.e. without slice tracking) results from the same subjects. The location and geometry of the myocardium were quantitatively analyzed, and the perfusion signal curves were calculated from both sequences to show the efficacy of the proposed sequence. Results The proposed sequence was significantly better compared to the conventional perfusion sequence in terms of qualitative image scores. Changes in the myocardial location and geometry decreased by ~50% in the slice tracking sequence. Furthermore, the proposed sequence had signal curves that are smoother and less noisy. Conclusion The proposed sequence significantly reduces the effect of the respiratory motion on the image acquisition in both rest and stress perfusion scans.

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“…Note that on one hand, the redistribution of the data used is restricted because of privacy laws, and on the other hand, that the authors no longer have access to this data. Also note that the implementation of the ICA-based motion compensation method [2] used in this work has since been changed in [3] to follow [4]. Nevertheless, since the claims made in the paper are only of a qualitative nature, it should still be possible to replicate the results.…”

Section: Preliminary Remarkmentioning

confidence: 93%

On Post-Acquisition Motion Compensation for Prostate Perfusion Analysis

Wollny¹,

Casanova

Ledesma-Carbayo

et al. 2016

Preprint

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Abstract-Dynamic Contrast enhance magnetic resonance imaging has been established as an accurate method to detect and localize prostate cancer. Time series of three-dimensional datasets of the prostate are acquired and used to obtain per-voxel signalintensity vs. time curves. These are then used to differentiate cancerous from non-cancerous tissue. However, rectal peristalsis and patient movement may result in spatial-mismatching of the serial datasets and therefore, incorrect enhancement curves. In this work, we discuss and test four methods based on image registration to compensate for these movements. These methods include a serial approach that uses the registration of consecutive images and the accumulation of the obtained transformations, an all-to one registration approach, an approach that first aligns a sub-set of images that are already closely aligned, and then uses synthetic references to register the remaining images, and an approach that uses independent component analysis (ICA) to create synthetic references and register the images to these. We conclude that the method based on ICA does not provide a viable approach for motion compensation in prostate perfusion imaging, and that the serial approach fails when motion artifacts are present in the series. The other two approaches provide qualitatively pleasing results.

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Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis

Cited by 50 publications

References 34 publications

Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms

Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms

Free‐breathing cardiac MR stress perfusion with real‐time slice tracking

On Post-Acquisition Motion Compensation for Prostate Perfusion Analysis

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