Ilaria Chimento
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ilaria Chimento has a total of 28 co-authors. Here are the top co-authors by number of shared publications:
- Aldo Quattrone
Neuroscience Research Center, University “Magna Graecia”, 88100 Catanzaro, Italy
2 shared publications AL-108-231 Investigators
1 shared publicationAL-108-231 Study Group
1 shared publicationAdam Boxer
Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, Calif
1 shared publication- Alisea Sacilotti
Neuroscience Research Center, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
1 shared publication - Alisea Sacilotti
Neuroscience Research Center, Magna Graecia University, Viale Europa Germaneto, Catanzaro 88100, Italy
1 shared publication
Latest Publications
- Open Access
- 5 June 2026
- Published by MDPI AG in Neuroimaging
- Vol. 1 (2) , 10
Reproducibility of Brain Morphometry Measurements Across Different Head Coils and Acceleration Factors on a PET/MR Scanner
Background/Objectives: This study evaluated the reproducibility of brain morphometric measurements obtained with different head coils and acceleration factors on a PET/MR scanner, with the aim of supporting reliability in longitudinal neuroimaging studies following major scanner hardware upgrades and introduction of higher-channel-density coils for improved image quality and shorter acquisition times. Methods: Fifteen healthy subjects underwent MPRAGE imaging on a 3T PET/MR scanner using a 16 channel head/neck coil with acceleration factor 2 and a 32 channel PET-transparent head coil with acceleration factors 2 and 4. Cortical thickness and subcortical volumes were measured with FreeSurfer. We performed correlation analyses to test the association between the values of cortical thickness and subcortical volumes derived from MPRAGE images acquired with either the 16- or the 32 channel coil. Test–retest variability and intraclass correlation coefficient were calculated to assess the reproducibility of the measurements for each brain region generated by each sequence and coil. Results: Cortical thickness and subcortical volume measurements from images acquired with different coils and acceleration factors showed high correlation (R = 0.96–1.00, p < 0.001) between protocols, with median test–retest variability below 4% for cortical thickness and a structure-dependent pattern for subcortical volumes, with higher variability in smaller structures such as the accumbens, reaching approximately 7.9% in cross-coil comparisons. Conclusions: Overall, brain morphometry measurements were reproducible across acquisition conditions. Coils with a higher number of channels were associated with improved signal-to-noise ratio, shorter acquisition times, and maintained quantitative consistency.
- 5 June 2026
- Published by MDPI AG in Neuroimaging
- Vol. 1 (2) , 10
Open AccessReproducibility of Brain Morphometry Measurements Across Different Head Coils and Acceleration Factors on a PET/MR Scanner
Background/Objectives: This study evaluated the reproducibility of brain morphometric measurements obtained with different head coils and acceleration factors on a PET/MR scanner, with the aim of supporting reliability in longitudinal neuroimaging studies following major scanner hardware upgrades and introduction of higher-channel-density coils for improved image quality and shorter acquisition times. Methods: Fifteen healthy subjects underwent MPRAGE imaging on a 3T PET/MR scanner using a 16 channel head/neck coil with acceleration factor 2 and a 32 channel PET-transparent head coil with acceleration factors 2 and 4. Cortical thickness and subcortical volumes were measured with FreeSurfer. We performed correlation analyses to test the association between the values of cortical thickness and subcortical volumes derived from MPRAGE images acquired with either the 16- or the 32 channel coil. Test–retest variability and intraclass correlation coefficient were calculated to assess the reproducibility of the measurements for each brain region generated by each sequence and coil. Results: Cortical thickness and subcortical volume measurements from images acquired with different coils and acceleration factors showed high correlation (R = 0.96–1.00, p < 0.001) between protocols, with median test–retest variability below 4% for cortical thickness and a structure-dependent pattern for subcortical volumes, with higher variability in smaller structures such as the accumbens, reaching approximately 7.9% in cross-coil comparisons. Conclusions: Overall, brain morphometry measurements were reproducible across acquisition conditions. Coils with a higher number of channels were associated with improved signal-to-noise ratio, shorter acquisition times, and maintained quantitative consistency.
- 1 June 2026
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 319 (3) , e251394
Planimetric and Linear MRI Markers for Progressive Supranuclear Palsy Classification: A Large Multicohort International Study
Comparison of several MRI markers revealed that a simple, generalizable midbrain linear measure and midbrain area accurately support routine differential diagnosis between progressive supranuclear palsy (PSP) and non-PSP parkinsonisms.
- 1 June 2026
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 319 (3) , e251394
Planimetric and Linear MRI Markers for Progressive Supranuclear Palsy Classification: A Large Multicohort International Study
Comparison of several MRI markers revealed that a simple, generalizable midbrain linear measure and midbrain area accurately support routine differential diagnosis between progressive supranuclear palsy (PSP) and non-PSP parkinsonisms.