[Poster Presentation]Investigation of basis material decomposition imaging noise from different spectral CT parameters

Investigation of basis material decomposition imaging noise from different spectral CT parameters
ID:75 Submission ID:73 View Protection:ATTENDEE Updated Time:2021-10-30 18:53:13 Hits:453 Poster Presentation

Start Time:2021-11-14 22:30 (Asia/Shanghai)

Duration:25min

Session:[PS1] Plenary Session 1 » [CT1] Workshop on CT

No files

Abstract
We present a study of the influence of spectral CT parameters on image noise for different base-material decompositions observed by the variation of average standard deviation. The performances of the helical pitch, slice thickness, material density, ASiR algorithm, tube current and monochromatic energy have been discussed in general basis-material decomposition data acquired by a 64-row spectral computerized tomography. The image qualities for different base-material decompositions are presented. The results show that the monochromatic energy, ASiR algorithm and helical pitch influence the image noise at a certain low level, whereas the slice thickness and material density dominate the variation of the average SD value and the image noise. We demonstrate the image quality in current study is consistent with the standard water phantom research. The study indicates the importance of slice thickness as CT imaging parameter in the varied scan protocols for reducing image noise.
 
Keywords
spectral CT,helical pitch,slice thickness,ASiR ratio
Speaker
Li Hang
Dalian Medical University

Submission Author
Li Hang Dalian Medical University
Comment submit
Verification code Change another
All comments

Countdown

  • 00

    Days

  • 00

    Hours

  • 00

    Minutes

  • 00

    Seconds

Important Dates

Abstract submission date:

2021-08-31

2021-10-25

Full paper submission date:

2021-09-15

2021-10-25

Notification of acceptance date: 

2021-09-30

2021-11-01

Conference date: 2021-11-12~2021-11-14

 

Contact Us

Jinying Yang +86 13675518597
Debo Zhi +86 15056085235
Song Gao +86 13121880288
Le Cao +86 15910809908