Editorial for "Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping"

Jean-Pierre Laissy^{1

2}, Monique Boukobza³

Affiliations

¹ Laboratory for Vascular Translational Science (LVTS), INSERM U1148, Paris, France.
² DMU (DREAM) Diagnostic Radiologie Explorations fonctionnelles Anatomopathologie Médecine nucléaire, University de Paris, Paris, France.
³ Radiology, Bichat University Hospital, Paris, France.

Editorial

Jean-Pierre Laissy et al. J Magn Reson Imaging. 2024 Sep.

. 2024 Sep;60(3):1176-1177.

doi: 10.1002/jmri.29193. Epub 2023 Dec 29.

Jean-Pierre Laissy^{1

2}, Monique Boukobza³

¹ Laboratory for Vascular Translational Science (LVTS), INSERM U1148, Paris, France.
² DMU (DREAM) Diagnostic Radiologie Explorations fonctionnelles Anatomopathologie Médecine nucléaire, University de Paris, Paris, France.
³ Radiology, Bichat University Hospital, Paris, France.

No abstract available

References

1. Greenberg SM, Vernooij MW, Cordonnier C, et al. Cerebral microbleeds: A guide to detection and interpretation. Lancet Neurol 2009;8(2):165‐174. https://doi.org/10.1016/S1474-4422(09)70013-4.
1. Liu C, Li W, Tong KA, Yeom KW, Kuzminski S. Susceptibility‐weighted imaging and quantitative susceptibility mapping in the brain. J Magn Reson Imaging 2015;42(1):23‐41. https://doi.org/10.1002/jmri.24768.
1. Wang Y, Liu T. Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magn Reson Med 2015;73:82‐101. https://doi.org/10.1002/mrm.25358.
1. Gregoire SM, Chaudhary UJ, Brown MM, et al. The Microbleed Anatomical Rating Scale (MARS): Reliability of a tool to map brain microbleeds. Neurology 2009;73(21):1759‐1766. https://doi.org/10.1212/WNL.0b013e3181c34a7d.
1. Xia P, Hui ES, Chua BJ, et al. Deep‐learning‐based MRI microbleeds detection for cerebral small vessel disease on quantitative susceptibility mapping. J Magn Reson Imaging 2024;60(3):1165‐1175.