Is It Possible for MRI Screening of Breast Cancer to be Available to Many More Women by Greatly Reducing its False Positive Detections via Ultrafast Time to Enhancement Measurements?

Autor: Keith S. Cover

Publikováno v: Journal of Magnetic Resonance Imaging. 55:1633-1635

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1865a5a7dd3cb29569ceb265a8abf658
https://doi.org/10.1002/jmri.27969

Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods

Autor: Jette L. Frederiksen, Mike P. Wattjes, Ana Rovira, Charles R.G. Guttmann, P. C. de Witt Hamer, I. Brouwer, R.A. van Schijndel, Hugo Vrenken, Marjolein Visser, Massimo Filippi, L Kappos, Marnix G. Witte, Olga Ciccarelli, Stefan Ropele, Frederik Barkhof, A. de Sitter, Keith S. Cover, Roelant S Eijgelaar, Alzheimer’s Disease Neuroimaging Initiative, Christian Enzinger, D. M. J. Müller

Publikováno v: de Sitter, A, Visser, M, Brouwer, I, Cover, K S, van Schijndel, R A, Eijgelaar, R S, Müller, D M J, Ropele, S, Kappos, L, Rovira, Á, Filippi, M, Enzinger, C, Frederiksen, J, Ciccarelli, O, Guttmann, C R G, Wattjes, M P, Witte, M G, de Witt Hamer, P C, Barkhof, F, Vrenken, H & MAGNIMS Study Group and Alzheimer’s Disease Neuroimaging Initiative 2020, ' Facing privacy in neuroimaging : removing facial features degrades performance of image analysis methods ', European Radiology, vol. 30, no. 2, pp. 1062-1074 . https://doi.org/10.1007/s00330-019-06459-3
European Radiology
de Sitter, A, Visser, M, Brouwer, I, Cover, K S, van Schijndel, R A, Eijgelaar, R S, Müller, D M J, Ropele, S, Kappos, L, Rovira, Filippi, M, Enzinger, C, Frederiksen, J, Ciccarelli, O, Guttmann, C R G, Wattjes, M P, Witte, M G, de Witt Hamer, P C, Barkhof, F, Vrenken, H, MAGNIMS Study Group & Alzheimer’s Disease Neuroimaging Initiative 2020, ' Facing privacy in neuroimaging : removing facial features degrades performance of image analysis methods ', European Radiology, vol. 30, no. 2, pp. 1062-1074 . https://doi.org/10.1007/s00330-019-06459-3
European Radiology, 30(2), 1062-1074. Springer Verlag
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
on behalf of the MAGNIMS Study Group and Alzheimer’s Disease Neuroimaging Initiative 2020, ' Facing privacy in neuroimaging : removing facial features degrades performance of image analysis methods ', European Radiology, vol. 30, no. 2, pp. 1062-1074 . https://doi.org/10.1007/s00330-019-06459-3

Background Recent studies have created awareness that facial features can be reconstructed from high-resolution MRI. Therefore, data sharing in neuroimaging requires special attention to protect participants’ privacy. Facial features removal (FFR)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c8366c40eaea0a5e0a7ca93deaa852
https://doi.org/10.1007/s00330-019-06459-3

Summarizing the 4D image stack of ultrafast dynamic contrast enhancement MRI of breast cancer in 3D using color intensity projections

Autor: Keith S. Cover, Ruth Smit, Rianne Wittenberg, Katya M Duvivier, Ben J. Slotman, Mark B.M. Hofman, Joost P.A. Kuijer, Pim de Graaf, Ruud M Verdaasdonk

Publikováno v: Journal of Magnetic Resonance Imaging. 49:1391-1399

Background Each ultrafast dynamic contrast-enhanced (DCE) MRI sequence for breast cancer generates thousands of images in a 4D stack that need to be reviewed by a radiologist. Purpose To assess whether color intensity projections (CIP) effectively su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66c616c71857b4c45dc1d6318c77d61e
https://doi.org/10.1002/jmri.26521

Lifespan normative data on rates of brain volume changes

Autor: Olga Ciccarelli, Massimo Filippi, Alvino Bisecco, Giordano Gentile, Antonio Giorgio, Jacqueline Palace, Renxin Chu, Christian Enzinger, Nicola De Stefano, Serena Ruggieri, Marco Battaglini, Antonio Gallo, Dana Horakova, Paolo Preziosa, Manuela Vaneckova, Frederik Barkhof, Claudio Gasperini, Claudia A. M. Wheeler-Kingshott, Hugo Vrenken, Maria Pia Sormani, Ludovico Luchetti, Yazhuo Kong, Maria A. Rocca, Marios C. Yiannakas, Keith S. Cover, Rohit Bakshi, Stefan Ropele

Publikováno v: Battaglini, M, Gentile, G, Luchetti, L, Giorgio, A, Vrenken, H, Barkhof, F, Cover, K S, Bakshi, R, Chu, R, Sormani, M P, Enzinger, C, Ropele, S, Ciccarelli, O, Wheeler-Kingshott, C, Yiannakas, M, Filippi, M, Rocca, M A, Preziosa, P, Gallo, A, Bisecco, A, Palace, J, Kong, Y, Horakova, D, Vaneckova, M, Gasperini, C, Ruggeri, S, de Stefano, N & MAGNIMS Study Group 2019, ' Lifespan normative data on rates of brain volume changes ', Neurobiology of Aging, vol. 81, pp. 30-37 . https://doi.org/10.1016/j.neurobiolaging.2019.05.010
Neurobiology of Aging
Neurobiology of Aging, 81, 30-37. Elsevier Inc.

We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eb55f4c1f598b1b45b01337a7275970
http://hdl.handle.net/11573/1408828

Can measuring hippocampal atrophy with a fully automatic method be substantially less noisy than manual segmentation over both 1 and 3 years?

Autor: Soheil Damangir, Alberto Redolfi, Ronald A. van Schijndel, Keith S. Cover, Alzheimer's Disease Neuroimaging Initiative, Paolo Bosco

Publikováno v: Cover, K S, van Schijndel, R A, Bosco, P, Damangir, S, Redolfi, A & Alzheimer's Disease Neuroimaging Initiative 2018, ' Can measuring hippocampal atrophy with a fully automatic method be substantially less noisy than manual segmentation over both 1 and 3 years? ', Psychiatry Research: Neuroimaging, vol. 280, pp. 39-47 . https://doi.org/10.1016/j.pscychresns.2018.06.011
Psychiatry Research: Neuroimaging, 280, 39-47. Elsevier Ireland Ltd

To quantify the "segmentation noise" of several widely used fully automatic methods for measuring longitudinal hippocampal atrophy in Alzheimer's disease and compare the results to the segmentation noise of manual segmentation over both 1 and 3 years

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9c47c958a9cd1f33844d0dfdcc2ae16
https://research.vumc.nl/en/publications/c0531c48-94e6-4719-ac72-79c550861444