Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Weili Lin"'
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions and scales. As a result, the acquisition time can be prohibitive for i
Externí odkaz:
https://doaj.org/article/8e5023876a97418390dedb0bfd1074c5
Dynamic perfusion and diffusion MRI of cortical spreading depolarization in photothrombotic ischemia
Publikováno v:
Neurobiology of Disease, Vol 71, Iss , Pp 131-139 (2014)
Cortical spreading depolarization (CSD) is known to exacerbate ischemic damage, as the number of CSDs correlates with the final infarct volumes and suppressing CSDs improves functional outcomes. To investigate the role of CSD in ischemic damage, we d
Externí odkaz:
https://doaj.org/article/bfbfd906944e42a995c5f7dbb9cb42db
Publikováno v:
IEEE transactions on medical imaging
Fast and automated image quality assessment (IQA) for diffusion MR images is a crucial step for swiftly making a rescan decision during or after the scanning session. However, learning a model for this task is challenging as the number of annotated d
Publikováno v:
IEEE Trans Med Imaging
Missing data is a common problem in longitudinal studies due to subject dropouts and failed scans. We present a graph-based convolutional neural network to predict missing diffusion MRI data. In particular, we consider the relationships between sampl
Publikováno v:
IEEE Trans Med Imaging
Diffusion magnetic resonance imaging (DMRI) suffers from lower signal-to-noise-ratio (SNR) due to MR signal attenuation associated with the motion of water molecules. To improve SNR, the non-local means (NLM) algorithm has demonstrated state-of-the-a
Publikováno v:
Med Image Anal
Diffusion MRI (DMRI) is a powerful tool for studying early brain development and disorders. However, the typically low spatio-angular resolution of DMRI diminishes structural details and limits quantitative analysis to simple diffusion models. This p
Publikováno v:
Computational Diffusion MRI ISBN: 9783030730178
We present a reconstruction scheme for diffusion MRI data acquired using slice-interleaved diffusion encoding (SIDE). We show that, when combined with multi-band imaging, the method is capable of reducing the amount of data that needs to be acquired
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41d008af06310aea719919762f046f38
https://doi.org/10.1007/978-3-030-73018-5_1
https://doi.org/10.1007/978-3-030-73018-5_1
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
Diffusion MRI (dMRI) is typically time consuming as it involves acquiring a series of 3D volumes, each associated with a wave-vector in q-space that determines the diffusion direction and strength. The acquisition time is further increased when “bl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9017145624bfbf407e2473b9b2ea8ff0
https://europepmc.org/articles/PMC8386512/
https://europepmc.org/articles/PMC8386512/
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597276
MICCAI (7)
Med Image Comput Comput Assist Interv
MICCAI (7)
Med Image Comput Comput Assist Interv
In this paper, we propose an efficient framework for parcellation of white matter tractograms using discriminative dictionary learning. Key to our framework is the learning of a compact dictionary for each fiber bundle so that the streamlines within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::819e6eb2b68f06c5359f78a897405e7c
https://doi.org/10.1007/978-3-030-59728-3_25
https://doi.org/10.1007/978-3-030-59728-3_25
Autor:
Pew Thian Yap, Jiquan Ma, Weili Lin, Khoi Minh Huynh, Dinggang Shen, Yongqin Zhang, Yoonmi Hong, Jaeil Kim, Geng Chen
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597276
MICCAI (7)
Med Image Comput Comput Assist Interv
MICCAI (7)
Med Image Comput Comput Assist Interv
Advanced diffusion models for tissue microstructure are widely employed to study brain disorders. However, these models usually require diffusion MRI (DMRI) data with densely sampled q-space, which is prohibitive in clinical settings. This problem ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f043252b37789d5e713e87a86c9a743
https://doi.org/10.1007/978-3-030-59728-3_28
https://doi.org/10.1007/978-3-030-59728-3_28