Robust optimal design of diffusion-weighted magnetic resonance experiments for skin microcirculation

Choi, Jongeun; Raguin, L. Guy

doi:10.1016/j.jmr.2010.07.014

Cited by 4 publications

(3 citation statements)

References 61 publications

(110 reference statements)

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“…Previous attempts to design optimal b-values have been reported in [2][3][4][12][13][14][15][16][17][18][19][20]. Mainly, they have tackled the problem using a Cramer-Rao-lower-bound approach by means of Monte Carlo simulations.…”

Section: Introductionmentioning

confidence: 99%

D-optimal design of b-values for precise intra-voxel incoherent motion imaging

Sansone¹,

Fusco²,

Petrillo³

2019

Biomed. Phys. Eng. Express

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The aim of this paper is to optimally design the set of b-values for diffusion weighted MRI with the aim of accurate estimation of intravoxel incoherent motion (IVIM) parameters (f perfusion fraction, D s slow diffusion, D f fast diffusion) according to the model developed by Le Bihan.Previous studies have addressed the design in a Monte Carlo fashion. Due to huge computation times, this approach is feasible only for a limited number of values of the parameters (local design): however, as the parameters of a specific exam are not known a priori, it would be desirable to optimise b-values over a region of parameters.In order to overcome this issue, we propose to use a D-optimal design approach. The optimal combination of b-values can be chosen from a candidate set of predefined values taken from the literature. Our study has two key results: first, the optimal design does not depend on perfusion fraction: this allow to perform a search over a 2D parameter space instead of 3D; second, as an exhaustive search over all possible designs would still be time consuming, we proposed an algorithm to find an approximate solution can be found very quickly.

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Section: Introductionmentioning

confidence: 99%

D-optimal design of b-values for precise intra-voxel incoherent motion imaging

Sansone¹,

Fusco²,

Petrillo³

2019

Biomed. Phys. Eng. Express

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“…The evaluation of the microcirculatory status is challenging and time consuming [5,11]. The sole method for the quantification of venous pressure is intravasal acquisition with placing a needle in the dorsal vein of the foot [14].…”

Section: Introductionmentioning

confidence: 99%

Non-invasive pressure measurement of the great saphenous vein in healthy controls and patients with venous insufficiency

Köster

Amann-Vesti

Husmann

et al. 2013

Clinical Hemorheology and Microcirculation

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OBJECTIVES: Venous pressure measurement using an intravenous catheter is the sole method for the diagnosis of venous hypertension in patients with chronic venous insufficiency. A noninvasive tool to quantify increased venous pressure is essential for studying venous pathophysiology. Aim of the study was to investigate the value of controlled compression ultrasound (CCU) for noninvasive assessment of venous pressure (VP) of the great saphenous vein (GSV) in healthy persons and patients with venous insufficiency to quantify venous hypertension. METHODS: An optimal visible part of the GSV directly above the ankle was marked on the skin and compressed under ultrasound control and pressure needed for complete compression of the vein was recorded using a pressure manometer with a translucent silicone membrane. Complete insufficiency of the GSV (Hach IV) was documented by duplex ultrasound by an independent investigator before start of the study. VP measurement was performed while normal breathing, deep inspiration and expiration and during a standardized Valsalva maneuver. RESULTS: Twenty controls and 19 patients with complete insufficiency of the GSV were included. Valsalva maneuver induced a slight increase in VP in controls (20.1 ± 4.5 vs 25.1 ± 6.6 mbar) but a significant higher increase in patients from 26 to 37 mbar (IQR 18.5-28.0 vs 31.5-43.0; p < 0.001). CONCLUSION: Noninvasive venous pressure measurement of the great saphenous vein using CCU is feasible and documents an increased pressure during Valsalva maneuver in Hach IV patients compared to healthy controls.

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“…models [11][12][13] ; bias and/or variance-minimising metrics are used to select both acquisition protocols 4,9,[21][22][23][24][25][26][27]10,[14][15][16][17][18][19][20] and parameter-estimation methods [28][29][30][31] .…”

mentioning

confidence: 99%

Task-driven assessment of experimental designs in diffusion MRI: A computational framework

Bray

Hall‐Craggs

et al. 2021

PLoS ONE

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This paper proposes a task-driven computational framework for assessing diffusion MRI experimental designs which, rather than relying on parameter-estimation metrics, directly measures quantitative task performance. Traditional computational experimental design (CED) methods may be ill-suited to experimental tasks, such as clinical classification, where outcome does not depend on parameter-estimation accuracy or precision alone. Current assessment metrics evaluate experiments’ ability to faithfully recover microstructural parameters rather than their task performance. The method we propose addresses this shortcoming. For a given MRI experimental design (protocol, parameter-estimation method, model, etc.), experiments are simulated start-to-finish and task performance is computed from receiver operating characteristic (ROC) curves and associated summary metrics (e.g. area under the curve (AUC)). Two experiments were performed: first, a validation of the pipeline’s task performance predictions against clinical results, comparing in-silico predictions to real-world ROC/AUC; and second, a demonstration of the pipeline’s advantages over traditional CED approaches, using two simulated clinical classification tasks. Comparison with clinical datasets validates our method’s predictions of (a) the qualitative form of ROC curves, (b) the relative task performance of different experimental designs, and (c) the absolute performance (AUC) of each experimental design. Furthermore, we show that our method outperforms traditional task-agnostic assessment methods, enabling improved, more useful experimental design. Our pipeline produces accurate, quantitative predictions of real-world task performance. Compared to current approaches, such task-driven assessment is more likely to identify experimental designs that perform well in practice. Our method is not limited to diffusion MRI; the pipeline generalises to any task-based quantitative MRI application, and provides the foundation for developing future task-driven end-to end CED frameworks.

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Robust optimal design of diffusion-weighted magnetic resonance experiments for skin microcirculation

Cited by 4 publications

References 61 publications

D-optimal design of b-values for precise intra-voxel incoherent motion imaging

D-optimal design of b-values for precise intra-voxel incoherent motion imaging

Non-invasive pressure measurement of the great saphenous vein in healthy controls and patients with venous insufficiency

Task-driven assessment of experimental designs in diffusion MRI: A computational framework

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