Generating cortical constraints for MEG inverse procedures using MR volume data

被引：0
作者：
Sandor, SR [1 ]
Leahy, RM [1 ]
Timsari, B [1 ]
机构：
[1] TRW Inc, Redondo Beach, CA USA
来源：
BIOMAG 96: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON BIOMAGNETISM, VOLS I & II | 2000年
关键词：
D O I：
暂无
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
引用
收藏
页码：1166 / 1169
页数：4
相关论文
共 38 条
  • [11] Circulation and volume flux of the North Atlantic using synoptic hydrographic data in a Bernoulli inverse
    Cunningham, SA
    JOURNAL OF MARINE RESEARCH, 2000, 58 (01) : 1 - 35
  • [12] Inflationary spectra with inverse-volume corrections in loop quantum cosmology and their observational constraints from Planck 2015 data
    Zhu, Tao
    Wang, Anzhong
    Kirsten, Klaus
    Cleaver, Gerald
    Sheng, Qin
    Wu, Qiang
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2016, (03):
  • [13] Using volume segmentation of cine MR data to evaluate dynamic motion of the airway in pediatric patients
    Abbott, MB
    Dardzinski, BJ
    Donnelly, LF
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2003, 181 (03) : 857 - 859
  • [14] Segmentation of cardiac MR volume data using 3D active appearance models
    Mitchell, SC
    Lelieveldt, BPF
    Bosch, JG
    van den Geest, R
    Reiber, JHC
    Sonka, M
    MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 2002, 4684 : 433 - 443
  • [15] An ABAQUS® plug-in for generating virtual data required for inverse analysis of unidirectional composites using artificial neural networks
    Ismail, Yaser
    Wan, Lei
    Chen, Jiayun
    Ye, Jianqiao
    Yang, Dongmin
    ENGINEERING WITH COMPUTERS, 2022, 38 (05) : 4323 - 4335
  • [16] An ABAQUS® plug-in for generating virtual data required for inverse analysis of unidirectional composites using artificial neural networks
    Yaser Ismail
    Lei Wan
    Jiayun Chen
    Jianqiao Ye
    Dongmin Yang
    Engineering with Computers, 2022, 38 : 4323 - 4335
  • [17] Automatic segmentation of blood vessels from MR angiography volume data by using fuzzy logic technique
    Kobashi, S
    Hata, Y
    Tokimoto, Y
    Ishikawa, M
    MEDICAL IMAGING 1999: IMAGE PROCESSING, PTS 1 AND 2, 1999, 3661 : 968 - 976
  • [18] Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data
    Bikia, Vasiliki
    Adamopoulos, Dionysios
    Roffi, Marco
    Rovas, Georgios
    Noble, Stephane
    Mach, Francois
    Stergiopulos, Nikolaos
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, 8
  • [19] A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts
    Ivanovska, Tatyana
    Jentschke, Thomas G.
    Daboul, Amro
    Hegenscheid, Katrin
    Voelzke, Henry
    Woergoetter, Florentin
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2019, 14 (10) : 1627 - 1633
  • [20] A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts
    Tatyana Ivanovska
    Thomas G. Jentschke
    Amro Daboul
    Katrin Hegenscheid
    Henry Völzke
    Florentin Wörgötter
    International Journal of Computer Assisted Radiology and Surgery, 2019, 14 : 1627 - 1633
1234