Presentation 2009-05-28
Reconstruction of 4D MR image and application
Hideaki HANEISHI, Yoshitada MASUDA,
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Abstract(in English) Motion of thoracoabdominal region due to respiration causes image blur in nuclear imaging modalities such as PET and SPECT. On the other hand, capturing or monitoring such motion provides us useful information. For example, monitoring such motion makes respiration-gated PET and SPECT possible and thus yields less- blurred images. Furthermore, motion of thoracoabdominal region due to respiration may provide us effective information on lung or liver diseases. We have developed a method for estimating lung motion from respiration-gated PET and tried to relate the motion with lung diseases. Recently we have developed a method for reconstructing a four-dimensional magnetic resonance image (4DMRI) of respiratory organ motion from time sequential images of two-dimensional (2D) MR. Those images can also used for dynamic 3D image analysis of thoracoabdominal region. Those techniques are introduced.
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Keyword(in English) Four-dimensional magnetic resonance image / Time sequential MR images / Intersection profile method / Chest / Respiratory organ motion
Paper # IE2009-17,PRMU2009-8,MI2009-8
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Conference Information
Committee IE
Conference Date 2009/5/21(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reconstruction of 4D MR image and application
Sub Title (in English)
Keyword(1) Four-dimensional magnetic resonance image
Keyword(2) Time sequential MR images
Keyword(3) Intersection profile method
Keyword(4) Chest
Keyword(5) Respiratory organ motion
1st Author's Name Hideaki HANEISHI
1st Author's Affiliation Research Center for Frontier Medical Engineering, Chiba University()
2nd Author's Name Yoshitada MASUDA
2nd Author's Affiliation Department of Radiology, Chiba University Hospital
Date 2009-05-28
Paper # IE2009-17,PRMU2009-8,MI2009-8
Volume (vol) vol.109
Number (no) 63
Page pp.pp.-
#Pages 6
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