3D Nasal Magnetic Resonance Image Registration by Maximization of Mutual Information. Issue 2 (March 2020)
- Record Type:
- Journal Article
- Title:
- 3D Nasal Magnetic Resonance Image Registration by Maximization of Mutual Information. Issue 2 (March 2020)
- Main Title:
- 3D Nasal Magnetic Resonance Image Registration by Maximization of Mutual Information
- Authors:
- Tang, Jiawei
Lu, Wenhuan
Honda, Kiyoshi - Abstract:
- Abstract: The magnetic resonance image (MRI) is widely used in medical treatment, which is harmless for human body. However, more noise than the CT image sometimes can be a problem when doctor focus on details of some narrow structure of human body such as nasal. It is necessary to process the MRI like image fusion before using it. Subjects have to move head during a few MR scans. Image registration can help all corresponding points find their own correct position, so that it can be processed and give us more information from not only one time scan. Mutual information is a good mathematics tool in statistics and information theory. It can describe the relationship between input signal and output signal. In this paper, they are reference image data set and float image data set, and the process between them are some little bit head move and some other influence during scanning. The rigid body transformation is used to reduce the impact of head move because the nasal consisting of bones almost don't changes shape during scan. Registered images from another scan and reference image can get together to be used in image fusion and reconstruction.
- Is Part Of:
- IOP conference series. Volume 782:Issue 2(2020)
- Journal:
- IOP conference series
- Issue:
- Volume 782:Issue 2(2020)
- Issue Display:
- Volume 782, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 782
- Issue:
- 2
- Issue Sort Value:
- 2020-0782-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03
- Subjects:
- Materials science -- Periodicals
620.1105 - Journal URLs:
- http://iopscience.iop.org/1757-899X ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1757-899X/782/2/022009 ↗
- Languages:
- English
- ISSNs:
- 1757-8981
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25448.xml