Partial volume correction in arterial spin labeling using a Look‐Locker sequence

Petr, Jan; Schramm, Georg; Hofheinz, Frank; Langner, Jens; Hoff, Joerg van den

doi:10.1002/mrm.24601

Cited by 26 publications

(38 citation statements)

References 33 publications

(76 reference statements)

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“…Moreover, such a simple model eliminates PV effects introduced by quantification based on T1 segmentation, due to the possibility of registration mismatches. Alternatively, tissue probability maps can be acquired using the same ASL readout module, which enables separate GM- and WM-quantification that is not affected by registration mismatches (Petr et al, 2013). In the current study, these mismatches may be increased by echo-planar imaging distortions in regions that are close to air-tissue transitions, which are predominantly GM areas (Deichmann et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

Gray matter contamination in arterial spin labeling white matter perfusion measurements in patients with dementia

Mutsaerts

Richard

Heijtel

et al. 2014

NeuroImage: Clinical

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IntroductionWhite matter (WM) perfusion measurements with arterial spin labeling can be severely contaminated by gray matter (GM) perfusion signal, especially in the elderly. The current study investigates the spatial extent of GM contamination by comparing perfusion signal measured in the WM with signal measured outside the brain.Material and methodsFour minute 3T pseudo-continuous arterial spin labeling scans were performed in 41 elderly subjects with cognitive impairment. Outward and inward geodesic distance maps were created, based on dilations and erosions of GM and WM masks. For all outward and inward geodesic distances, the mean CBF was calculated and compared.ResultsGM contamination was mainly found in the first 3 subcortical WM voxels and had only minor influence on the deep WM signal (distances 4 to 7 voxels). Perfusion signal in the WM was significantly higher than perfusion signal outside the brain, indicating the presence of WM signal.ConclusionThese findings indicate that WM perfusion signal can be measured unaffected by GM contamination in elderly patients with cognitive impairment. GM contamination can be avoided by the erosion of WM masks, removing subcortical WM voxels from the analysis. These results should be taken into account when exploring the use of WM perfusion as micro-vascular biomarker.

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Section: Discussionmentioning

confidence: 99%

Gray matter contamination in arterial spin labeling white matter perfusion measurements in patients with dementia

Mutsaerts

Richard

Heijtel

et al. 2014

NeuroImage: Clinical

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show abstract

“…Many ASL partial volume correction methods assume that white matter has perfusion that is 40% of a comparable unit of gray matter [25], based on quantitative in vivo measures of ASL perfusion [11], even though this ratio is almost certainly dependent on image resolution. More sophisticated models include partial volume correction based on locally determined gray matter activation [26, 27], a kinetic equation for multiple inversion time ASL [28], and specially designed pulse sequences [29]. In addition, some studies have incorporated the presence of brain lesions for partial volume correction of ASL images [30].…”

Section: Introductionmentioning

confidence: 99%

Decomposing cerebral blood flow MRI into functional and structural components: A non-local approach based on prediction

et al. 2015

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We present RIPMMARC (Rotation Invariant Patch-based Multi-Modality Analysis aRChitecture), a flexible and widely applicable method for extracting information unique to a given modality from a multi-modal data set. We use RIPMMARC to improve interpretation of arterial spin labeling (ASL) perfusion images by removing the component of perfusion that is predicted by the underlying anatomy. Using patch-based, rotation invariant descriptors derived from the anatomical image, we learn a predictive relationship between local neuroanatomical structure and the corresponding perfusion image. This relation allows us to produce an image of perfusion that would be predicted given only the underlying anatomy and a residual image that represents perfusion information that cannot be predicted by anatomical features. Our learned structural features are significantly better at predicting brain perfusion than tissue probability maps, which are the input to standard partial volume correction techniques. Studies in test-retest data show that both the anatomically predicted and residual perfusion signal are highly replicable for a given subject. In a pediatric population, both the raw perfusion and structurally predicted images are tightly linked to age throughout adolescence throughout the brain. Interestingly, the residual perfusion also shows a strong correlation with age in select regions including the hippocampi (corr= 0.38, p-value < 10−6), precuneus (corr= −0.44, p < 10−5), and combined default mode network regions (corr= −0.45, p < 10−8) that is independent of global anatomy-perfusion trends. This finding suggests that there is a regionally heterogeneous pattern of functional specialization that is distinct from that of cortical structural development.

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“…An advantage of the method of Dai et al is that

M_{0}

and

λ

do not need to be mapped, whereas an advantage of our approach is that we also obtain FSM‐based PV values. These native space tissue volume estimates can be used for generating ROIs, or for more advanced postprocessing procedures such as PV correction . The use of PV correction in ASL has gained increased interest in recent years, and the use of FSM‐enabled sequences is expected to increase, which strengthens the importance of this novel

M_{0 a}

method.…”

Section: Discussionmentioning

confidence: 99%

Improved calculation of the equilibrium magnetization of arterial blood in arterial spin labeling

Ahlgren¹,

Wirestam²,

Knutsson

et al. 2018

Magnetic Resonance in Med

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Compared with the conventional approach, the proposed method produced more homogenous M0a maps, corresponding to a more accurate calibration. The proposed method also yielded significantly different perfusion values across the whole brain, and performed consistently in all subjects. The new M0a method improves quantitative perfusion estimation with arterial spin labeling, and can therefore be of considerable value in perfusion imaging applications.

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Partial volume correction in arterial spin labeling using a Look‐Locker sequence

Abstract: PV maps extraction from LL-EPI is a viable, possibly superior alternative to the standard approach based on segmentation of high-resolution T1 -weighted images.

Cited by 26 publications

References 33 publications

Gray matter contamination in arterial spin labeling white matter perfusion measurements in patients with dementia

Gray matter contamination in arterial spin labeling white matter perfusion measurements in patients with dementia

Decomposing cerebral blood flow MRI into functional and structural components: A non-local approach based on prediction

Improved calculation of the equilibrium magnetization of arterial blood in arterial spin labeling

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