FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896824716> ?p ?o ?g. }

• W2896824716 abstract "Pathological enlargement of perivascular spaces (ePVS) has historically been considered normal, though ePVS have recently been examined more carefully in the setting of Alzheimer's and cerebrovascular disease. We recently published a method to delimitate ePVS using multi-contrast MRI; however, retrospective datasets may not contain four weightings, and prospective datasets may find acquisition times infeasible. We report an ePVS segmentation method in T1 or T2-weighed MRI based on morphology to distinguish ePVS from features of similar intensity which has high reliability with respect to previously published and gold standard visual ratings. T1, T2, PD, and FLAIR MRI were acquired in two separate sessions from fourteen subjects. The published 4-sequence algorithm (mMAPS) was applied and three visual raters scored single slice sections. T1 and T2 were used for single sequence segmentation (MAPS). Inside a white matter (WM) mask, voxels were a) inverse frequency ranked (FRANK4) and b) mean difference scores (DIFF5) calculated (Figure 1). For T1, a voxel (with intensity i) was considered a possible ePVS if [FRANK4>0.95, DIFF5>.15*i]. For T2, [FRANK4<0.95, DIFF5<.15*i]. Each ≥5mm3 cluster was further subjected to morphological filtering on linearity and width; linearity was calculated as percent explained variance of the primary eigenvector of each cluster, width was calculated as the intersection of planes normal to that vector and the edges of each cluster. Graphic representation of the algorithm on a single ePVS in the superior frontal gyrus. There was a high correspondence between visual ePVS counts and mMAPS, T1, and T2 counts over all subjects; all methods were significantly correlated over repeated measurements in the single visually rated slice and over the whole brain (Figure 2). SNR and CNR of segmented ePVS using single sequence methods and all statistical results are available in Table 1. Results. Top left: SNR and CNR measurements Top right: method comparison of single slice averages chosen by visual raters. Bottom: within subject correlations. While consultation of several sequence weightings is preferred to ensure that a putative ePVS is isointense to CSF on all sequences, the single sequence automated method of segmentation, based largely on refined morphological constraints, is highly correlated to expert visual counts and previously published automated methods. This method may be applicable to large single sequence datasets such as ADNI, and would add valuable information regarding location and morphology of ePVS." @default.
• W2896824716 created "2018-10-26" @default.
• W2896824716 creator A5034270911 @default.
• W2896824716 creator A5039876398 @default.
• W2896824716 creator A5051808588 @default.
• W2896824716 creator A5087173048 @default.
• W2896824716 date "2018-07-01" @default.
• W2896824716 modified "2023-10-12" @default.
• W2896824716 title "IC‐P‐168: ENLARGED PERIVASCULAR SPACE SEGMENTATION USING ENHANCED MORPHOLOGICAL ASSESSMENT ON SINGLE SEQUENCE MRI" @default.
• W2896824716 doi "https://doi.org/10.1016/j.jalz.2018.06.2235" @default.
• W2896824716 hasPublicationYear "2018" @default.
• W2896824716 type Work @default.
• W2896824716 sameAs 2896824716 @default.
• W2896824716 citedByCount "0" @default.
• W2896824716 crossrefType "journal-article" @default.
• W2896824716 hasAuthorship W2896824716A5034270911 @default.
• W2896824716 hasAuthorship W2896824716A5039876398 @default.
• W2896824716 hasAuthorship W2896824716A5051808588 @default.
• W2896824716 hasAuthorship W2896824716A5087173048 @default.
• W2896824716 hasConcept C121332964 @default.
• W2896824716 hasConcept C126838900 @default.
• W2896824716 hasConcept C143409427 @default.
• W2896824716 hasConcept C153180895 @default.
• W2896824716 hasConcept C154945302 @default.
• W2896824716 hasConcept C2781192897 @default.
• W2896824716 hasConcept C2989005 @default.
• W2896824716 hasConcept C33923547 @default.
• W2896824716 hasConcept C41008148 @default.
• W2896824716 hasConcept C46141821 @default.
• W2896824716 hasConcept C54170458 @default.
• W2896824716 hasConcept C71924100 @default.
• W2896824716 hasConcept C89600930 @default.
• W2896824716 hasConceptScore W2896824716C121332964 @default.
• W2896824716 hasConceptScore W2896824716C126838900 @default.
• W2896824716 hasConceptScore W2896824716C143409427 @default.
• W2896824716 hasConceptScore W2896824716C153180895 @default.
• W2896824716 hasConceptScore W2896824716C154945302 @default.
• W2896824716 hasConceptScore W2896824716C2781192897 @default.
• W2896824716 hasConceptScore W2896824716C2989005 @default.
• W2896824716 hasConceptScore W2896824716C33923547 @default.
• W2896824716 hasConceptScore W2896824716C41008148 @default.
• W2896824716 hasConceptScore W2896824716C46141821 @default.
• W2896824716 hasConceptScore W2896824716C54170458 @default.
• W2896824716 hasConceptScore W2896824716C71924100 @default.
• W2896824716 hasConceptScore W2896824716C89600930 @default.
• W2896824716 hasIssue "7S_Part_2" @default.
• W2896824716 hasLocation W28968247161 @default.
• W2896824716 hasOpenAccess W2896824716 @default.
• W2896824716 hasPrimaryLocation W28968247161 @default.
• W2896824716 hasRelatedWork W1998563493 @default.
• W2896824716 hasRelatedWork W2016533837 @default.
• W2896824716 hasRelatedWork W2082728368 @default.
• W2896824716 hasRelatedWork W2383143032 @default.
• W2896824716 hasRelatedWork W2892386716 @default.
• W2896824716 hasRelatedWork W3027020613 @default.
• W2896824716 hasRelatedWork W3167885074 @default.
• W2896824716 hasRelatedWork W4306164210 @default.
• W2896824716 hasRelatedWork W4313316311 @default.
• W2896824716 hasRelatedWork W4362608745 @default.
• W2896824716 hasVolume "14" @default.
• W2896824716 isParatext "false" @default.
• W2896824716 isRetracted "false" @default.
• W2896824716 magId "2896824716" @default.
• W2896824716 workType "article" @default.