Robustness of spatio‐temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke

Giacalone, Mathilde; Frindel, Carole; Robini, Marc; Cervenansky, Frédéric; Grenier, Emmanuel; Rousseau, D.

doi:10.1002/mrm.26573

Cited by 9 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding was also reported by Giacalone et al. 26 who examined the robustness of a deconvolution algorithm with spatio‐temporal regularization in perfusion MRI. The TASs provide the radiologist with an intuitive and quantitative visualization whereas before, it could only be assessed separately in each arterial cross section and visualized in 2D.…”

Section: Discussionsupporting

confidence: 84%

Quantitative hemodynamic assessment of stenotic below‐the‐knee arteries using spatio‐temporal bolus tracking on 4D‐CT angiography

Boonen,

Buls,

van Gompel

et al. 2023

Medical Physics

View full text Add to dashboard Cite

BackgroundPeripheral arterial disease (PAD) is a chronic occlusive disease that restricts blood flow in the lower limbs, causing partial or complete blockages of the blood flow. While digital subtraction angiography (DSA) has traditionally been the preferred method for assessing blood flow in the lower limbs, advancements in wide beam Computed Tomography (CT), allowing successive acquisition at high frame rate, might enable hemodynamic measurements.PurposeTo quantify the arterial blood flow in stenotic below‐the‐knee (BTK) arteries. To this end, we propose a novel method for contrast bolus tracking and assessment of quantitative hemodynamic parameters in stenotic arteries using 4D‐CT.MethodsFifty patients with suspected PAD underwent 4D‐CT angiography in addition to the clinical run‐off computed tomography angiography (CTA). From these dynamic acquisitions, the BTK arteries were segmented and the region of maximum blood flow was extracted. Time attenuation curves (TAC) were estimated using 2D spatio‐temporal B‐spline regression, enforcing both spatial and temporal smoothness. From these curves, quantitative hemodynamic parameters, describing the shape of the propagating contrast bolus were automatically extracted. We evaluated the robustness of the proposed TAC fitting method with respect to interphase delay and imaging noise and compared it to commonly used approaches. Finally, to illustrate the potential value of 4D‐CT, we assessed the correlation between the obtained hemodynamic parameters and the presence of PAD.Results280 out of 292 arteries were successfully segmented, with failures mainly due to a delayed contrast arrival. The proposed method led to physiologically plausible hemodynamic parameters and was significantly more robust compared to 1D temporal regression. A significant correlation between the presence of proximal stenoses and several hemodynamic parameters was found.ConclusionsThe proposed method based on spatio‐temporal bolus tracking was shown to lead to stable and physiologically plausible estimation of quantitative hemodynamic parameters, even in the case of stenotic arteries. These parameters may provide valuable information in the evaluation of PAD and contribute to its diagnosis.

show abstract

Section: Discussionsupporting

confidence: 84%

Quantitative hemodynamic assessment of stenotic below‐the‐knee arteries using spatio‐temporal bolus tracking on 4D‐CT angiography

Boonen,

Buls,

van Gompel

et al. 2023

Medical Physics

View full text Add to dashboard Cite

show abstract

“…This is in accordance with the results from our forward-selection approach, ranking the DWI segmentation mask as the highest predictive component. In addition, the temporal signal of a PWI 4D image is often modeled in the literature by a gamma-function governed by four parameters [26]. This is in accordance with the results from our forward-selection approach, where the gain in predictability saturates after four components from the PWI have been integrated (C 5 ), corresponding to the intrinsic dimension of the PWI modality.…”

Section: Gain Of Predictability With Multicomponent Integrationsupporting

confidence: 83%

Multicomponent and Longitudinal Imaging Seen as a Communication Channel—An Application to Stroke

Giacalone

Frindel

Grenier

et al. 2017

Entropy

Self Cite

View full text Add to dashboard Cite

Abstract:In longitudinal medical studies, multicomponent images of the tissues, acquired at a given stage of a disease, are used to provide information on the fate of the tissues. We propose a quantification of the predictive value of multicomponent images using information theory. To this end, we revisit the predictive information introduced for monodimensional time series and extend it to multicomponent images. The interest of this theoretical approach is illustrated on multicomponent magnetic resonance images acquired on stroke patients at acute and late stages, for which we propose an original and realistic model of noise together with a spatial encoding for the images. We address therefrom very practical questions such as the impact of noise on the predictability, the optimal choice of an observation scale and the predictability gain brought by the addition of imaging components.

show abstract

“…Retrieval of the tissue impulse response function from the measured concentration curve and the AIF has been a persistent challenge in DSC-MRI, despite the introduction of a number of relevant mathematical methods. Recent studies include stable spline deconvolution [ 27 ], deconvolution with dispersion-compliant bases [ 28 ] assessment of the robustness of spatio-temporal deconvolution algorithms [ 29 ] as well as the introduction of machine learning approaches to DSC-MRI perfusion imaging [ 30 ]. In the present study, a non-parametric deconvolution method using Bézier curves for perfusion quantification in DSC-MRI was presented and evaluated.…”

Section: Discussionmentioning

confidence: 99%

Non-parametric deconvolution using Bézier curves for quantification of cerebral perfusion in dynamic susceptibility contrast MRI

Chakwizira

Ahlgren

Knutsson

et al. 2022

Magn Reson Mater Phy

View full text Add to dashboard Cite

Objective Deconvolution is an ill-posed inverse problem that tends to yield non-physiological residue functions R(t) in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI). In this study, the use of Bézier curves is proposed for obtaining physiologically reasonable residue functions in perfusion MRI. Materials and methods Cubic Bézier curves were employed, ensuring R(0) = 1, bounded-input, bounded-output stability and a non-negative monotonically decreasing solution, resulting in 5 parameters to be optimized. Bézier deconvolution (BzD), implemented in a Bayesian framework, was tested by simulation under realistic conditions, including effects of arterial delay and dispersion. BzD was also applied to DSC-MRI data from a healthy volunteer. Results Bézier deconvolution showed robustness to different underlying residue function shapes. Accurate perfusion estimates were observed, except for boxcar residue functions at low signal-to-noise ratio. BzD involving corrections for delay, dispersion, and delay with dispersion generally returned accurate results, except for some degree of cerebral blood flow (CBF) overestimation at low levels of each effect. Maps of mean transit time and delay were markedly different between BzD and block-circulant singular value decomposition (oSVD) deconvolution. Discussion A novel DSC-MRI deconvolution method based on Bézier curves was implemented and evaluated. BzD produced physiologically plausible impulse response, without spurious oscillations, with generally less CBF underestimation than oSVD.

show abstract

Robustness of spatio‐temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke

Cited by 9 publications

References 36 publications

Quantitative hemodynamic assessment of stenotic below‐the‐knee arteries using spatio‐temporal bolus tracking on 4D‐CT angiography

Quantitative hemodynamic assessment of stenotic below‐the‐knee arteries using spatio‐temporal bolus tracking on 4D‐CT angiography

Multicomponent and Longitudinal Imaging Seen as a Communication Channel—An Application to Stroke

Non-parametric deconvolution using Bézier curves for quantification of cerebral perfusion in dynamic susceptibility contrast MRI

Contact Info

Product

Resources

About