Utility of quantitative susceptibility mapping and diffusion kurtosis imaging in the diagnosis of early Parkinson’s disease

Autor: Septian Hartono, Fiona Setiawan, Samuel Ng, Tong San Koh, Soo Lee Lim, Ling Ling Chan, Thomas Welton, Chu Ning Ann, Nicole Shuang-Yu Chia, Louis C.S. Tan, Huihua Li, Eng-King Tan, Saifeng Liu, E. Mark Haacke, Samantha Tan

Publikováno v: NeuroImage : Clinical
NeuroImage: Clinical, Vol 32, Iss, Pp 102831-(2021)

Graphical abstract
Highlights • Putamen susceptibility value was higher in PD than controls one year into diagnosis. • Putamen susceptibility value was associated with clinical motor scores in early PD. • Mean diffusivity revealed greater

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50bac448dc0692b5ab9adda95e563c35
http://europepmc.org/articles/PMC8503579

White matter microstructural impairments in amyotrophic lateral sclerosis: A mean apparent propagator MRI study

Autor: Yan-Juan Lin, Jia-Hui Lin, Xu-Feng Yao, Hua-Jun Chen, Chuanyin Zhan, Li-Min Cai, Min-Xiong Zhou, Zhang-Yu Zou

Publikováno v: NeuroImage: Clinical, Vol 32, Iss, Pp 102863-(2021)
NeuroImage : Clinical

Background: White matter (WM) impairment is a hallmark of amyotrophic lateral sclerosis (ALS). This study evaluated the capacity of mean apparent propagator magnetic resonance imaging (MAP-MRI) for detecting ALS-related WM alterations. Methods: Diffu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ea006abe1b0f3e8ba693f833cacd4a3
http://www.sciencedirect.com/science/article/pii/S2213158221003077

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI

Autor: Marjan Acou, Jelle Veraart, Frederik Maes, Diana M. Sima, Uwe Himmelreich, Nicolas Sauwen, Eric Achten, S Van Cauter, S. Van Huffel

Publikováno v: NeuroImage : Clinical
NeuroImage: Clinical
NeuroImage: Clinical, Vol 12, Iss C, Pp 753-764 (2016)

Tumor segmentation is a particularly challenging task in high-grade gliomas (HGGs), as they are among the most heterogeneous tumors in oncology. An accurate delineation of the lesion and its main subcomponents contributes to optimal treatment plannin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9dd08278864bce6cde9317131e8e17b
https://pubmed.ncbi.nlm.nih.gov/27812502

Kinematic Measures of Bimanual Performance are Associated With Callosum White Matter Change in People With Chronic Stroke.

Autor: Lench DH; Departments of Psychiatry and Neurosciences, College of Medicine, Medical University of South Carolina, Charleston, SC., Hutchinson S; Department of Health Research, College of Health Professions, Medical University of South Carolina, Charleston, SC., Woodbury ML; Department of Health Research, College of Health Professions, Medical University of South Carolina, Charleston, SC., Hanlon CA; Departments of Psychiatry and Neurosciences, College of Medicine, Medical University of South Carolina, Charleston, SC.; Department of Health Research, College of Health Professions, Medical University of South Carolina, Charleston, SC.; Department of Cancer Biology, College of Medicine, Wake Forest Health Sciences, Winston-Salem, NC.

Publikováno v: Archives of rehabilitation research and clinical translation [Arch Rehabil Res Clin Transl] 2020 Jul 18; Vol. 2 (4), pp. 100075. Date of Electronic Publication: 2020 Jul 18 (Print Publication: 2020).

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.

Autor: Sauwen N; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium; iMinds, Department of Medical Information Technologies, Belgium., Acou M; Ghent University Hospital, Department of Radiology, Ghent, Belgium., Van Cauter S; University Hospitals of Leuven, Department of Radiology, Leuven, Belgium; Ziekenhuizen Oost-Limburg, Department of Radiology, Leuven, Belgium., Sima DM; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium; iMinds, Department of Medical Information Technologies, Belgium., Veraart J; University of Antwerp, iMinds Vision Lab, Department of Physics, Antwerp, Belgium., Maes F; KU Leuven, Department of Electrical Engineering (ESAT), PSI Centre for Processing Speech and Images, Leuven, Belgium., Himmelreich U; KU Leuven, Biomedical MRI/MoSAIC, Department of Imaging and Pathology, Leuven, Belgium., Achten E; Ghent University Hospital, Department of Radiology, Ghent, Belgium., Van Huffel S; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium; iMinds, Department of Medical Information Technologies, Belgium.

Publikováno v: NeuroImage. Clinical [Neuroimage Clin] 2016 Sep 30; Vol. 12, pp. 753-764. Date of Electronic Publication: 2016 Sep 30 (Print Publication: 2016).