Automatic slice selection and diagnosis of breast strain elastography
Journal
Medical Physics
Journal Volume
41
Journal Issue
10
Pages
102902
Date Issued
2014-10
Author(s)
Shao-Chien Chang
Yan-Wei Lee
Yi-Chen Lai
Chui-Mei Tiu
Hsin-Kai Wang
Hong-Jen Chiou
Yu-Wei Hsu
Yi-Hong Chou
Abstract
Purpose: Generally speaking, breast imaging experts and physicians select a representative slice from the strain elastographic image sequences to diagnose the tumor. Given the strain image qualities, it is difficult to make a successful diagnosis using human eyes only. The main purpose of this study is to develop an automatic and reliable method to select the representative slice from the elastography cine loops and/or video and then diagnose the tumor by means of the elastographic features generated from the selected slice. ? 2014 American Association of Physicists in Medicine.
Subjects
breast tumor; representative slice; sonoelastography; tumor segmentation
SDGs
Other Subjects
Diagnosis; Tumors; Breast imaging; Breast tumor; Elastography; Image sequence; Reliable methods; representative slice; Sonoelastography; Tumor segmentation; Medical imaging; adult; aged; algorithm; Article; atypical ductal hyperplasia; automatic slice selection method; breast carcinoma; breast fibroadenoma; breast papilloma; breast sclerosing adenosis; breast strain elastography; cancer diagnosis; computer language; controlled study; diagnostic accuracy; elastography; female; human; image analysis; intraductal carcinoma; major clinical study; sensitivity and specificity; algorithm; automated pattern recognition; biopsy; Breast Neoplasms; comparative study; computer assisted diagnosis; echomammography; elasticity; elastography; middle aged; procedures; receiver operating characteristic; young adult; Adult; Aged; Algorithms; Biopsy; Breast Neoplasms; Elasticity; Elasticity Imaging Techniques; Female; Humans; Image Interpretation, Computer-Assisted; Middle Aged; Pattern Recognition, Automated; ROC Curve; Sensitivity and Specificity; Ultrasonography, Mammary; Young Adult
Type
journal article