Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI for Parkinson’s disease

被引:0
|
作者
Yiming Xiao
Vladimir S. Fonov
Silvain Beriault
Ian Gerard
Abbas F. Sadikot
G. Bruce Pike
D. Louis Collins
机构
[1] Montreal Neurological Institute and Hospital,McConnell Brain Imaging Center
[2] McGill University,Division of Neurosurgery
[3] Montreal Neurological Institute and Hospital,Department of Radiology and Clinical Neurosciences, Hotchkiss Brain Institute
[4] McGill University,undefined
[5] University of Calgary,undefined
关键词
Patch-based label-fusion; Subthalamic nucleus; Substantia nigra; Red nucleus; Susceptibility-weighted imaging; Parkinson’s disease;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1029 / 1041
页数:12
相关论文
共 39 条
  • [21] MRI Measurements of Brainstem Structures in Patients with Richardson's Syndrome, Progressive Supranuclear Palsy-Parkinsonism, and Parkinson's Disease
    Arabia, Gennarina
    Quattrone, Aldo
    MOVEMENT DISORDERS, 2011, 26 (08) : 1575 - 1576
  • [22] MRI Measurements of Brainstem Structures in Patients with Richardson's Syndrome, Progressive Supranuclear Palsy-Parkinsonism, and Parkinson's Disease
    Longoni, Giulia
    Agosta, Federica
    Kostic, Vladimir S.
    Stojkovic, Tanja
    Pagani, Elisabetta
    Stosic-Opincal, Tatjana
    Filippi, Massimo
    MOVEMENT DISORDERS, 2011, 26 (02) : 247 - 255
  • [23] MRI measurements of brainstem structures in patients with Richardson's syndrome, progressive supranuclear palsy-parkinsonism, and Parkinson's disease
    Stojkovic, T.
    Lukic, M. Jecmenica
    Tomic, A.
    Markovic, V.
    Petrovic, I.
    Dragasevic-Miskovic, N.
    Stefanova, E.
    Svetel, M.
    Agosta, F.
    Filippi, M.
    Kostic, V.
    EUROPEAN JOURNAL OF NEUROLOGY, 2010, 17 : 102 - 102
  • [24] Rapid Automatic Segmentation of the Human Cerebellum and its Lobules (RASCAL)-Implementation and Application of the Patch-based Label-fusion Technique With a Template Library to Segment the Human Cerebellum
    Weier, Katrin
    Fonov, Vladimir
    Lavoie, Karyne
    Doyon, Julien
    Collins, D. Louis
    HUMAN BRAIN MAPPING, 2014, 35 (10) : 5026 - 5039
  • [25] Diagnosis of Parkinson's disease based on feature fusion on T2 MRI images
    Cui, Xinchun
    Xu, Yubang
    Lou, Yue
    Sheng, Qinghua
    Cai, Miao
    Zhuang, Liying
    Sheng, Gang
    Yang, Jiahu
    Liu, Jinxing
    Feng, Yue
    Liu, Xiaoli
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (12) : 11362 - 11381
  • [26] Exploring the cognitive assessment potential of MRI-based volumetric hippocampal segmentation in Parkinson's disease
    Tarhan, Merve
    Atalay, Basak
    Yasar, Aysenur Buz
    Ozdilek, Fatma Betul
    BRAIN AND BEHAVIOR, 2024, 14 (07):
  • [27] sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI
    Zhang, Xin
    Han, Liangxiu
    Han, Lianghao
    Chen, Haoming
    Dancey, Darren
    Zhang, Daoqiang
    IEEE ACCESS, 2023, 11 : 108603 - 108616
  • [28] Effective R2 relaxation rate, derived from dual-contrast fast-spin-echo MRI, enables detection of hemisphere differences in iron level and dopamine function in Parkinson's disease and healthy individuals
    Luo, Jierong
    Collingwood, Joanna F.
    JOURNAL OF NEUROSCIENCE METHODS, 2022, 382
  • [29] Adaptive deep CNN: an effective Alzheimer's affected MRI image registration using heuristic-aided deep learning model and patch-based level fusion
    Deshmukh, Vaidehi
    Chapadgaonkar, Shilpa
    Kowdiki, Manisha
    Khaparde, Arti
    PATTERN ANALYSIS AND APPLICATIONS, 2025, 28 (02)
  • [30] A Parkinson's disease-related nuclei segmentation network based on CNN-Transformer interleaved encoder with feature fusion
    Chen, Hongyi
    Fu, Junyan
    Liu, Xiao
    Zheng, Zhiji
    Luo, Xiao
    Zhou, Kun
    Xu, Zhijian
    Geng, Daoying
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2024, 118