Attenuation correction with region growing method used in the positron emission mammography imaging system

Get Citation
GU Xiao-Yue, LI Lin, YIN Peng-Fei, YUN Ming-Kai, CHAI Pei, HUANG Xian-Chao, SUN Xiao-Li and WEI Long. Attenuation correction with region growing method used in the positron emission mammography imaging system[J]. Chinese Physics C, 2015, 39(10): 108202. doi: 10.1088/1674-1137/39/10/108202
GU Xiao-Yue, LI Lin, YIN Peng-Fei, YUN Ming-Kai, CHAI Pei, HUANG Xian-Chao, SUN Xiao-Li and WEI Long. Attenuation correction with region growing method used in the positron emission mammography imaging system[J]. Chinese Physics C, 2015, 39(10): 108202.  doi: 10.1088/1674-1137/39/10/108202 shu
Milestone
Received: 2014-12-18
Revised: 2015-06-15
Article Metric

Article Views(1712)
PDF Downloads(78)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Attenuation correction with region growing method used in the positron emission mammography imaging system

    Corresponding author: GU Xiao-Yue,

Abstract: The Positron Emission Mammography imaging system (PEMi) provides a novel nuclear diagnosis method dedicated for breast imaging. With a better resolution than whole body PET, PEMi can detect millimeter-sized breast tumors. To address the requirement of semi-quantitative analysis with a radiotracer concentration map of the breast, a new attenuation correction method based on a three-dimensional seeded region growing image segmentation (3DSRG-AC) method has been developed. The method gives a 3D connected region as the segmentation result instead of image slices. The continuity property of the segmentation result makes this new method free of activity variation of breast tissues. The threshold value chosen is the key process for the segmentation method. The first valley in the grey level histogram of the reconstruction image is set as the lower threshold, which works well in clinical application. Results show that attenuation correction for PEMi improves the image quality and the quantitative accuracy of radioactivity distribution determination. Attenuation correction also improves the probability of detecting small and early breast tumors.

    HTML

Reference (1)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return