Detecting the Stages of Hyperplasia Formation in the Breast Ducts Using Ultrasound B-Scan Images

Taslidere, Ezgi; Cohen, Fernand S.; Γεωργίου, Γεωργία

doi:10.1109/isbi.2006.1625064

Cited by 2 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The parameter E is found to show no significant discriminative ability since only the duct region is considered for the window size used. 2 performed well for discrimination between only early and late stages of hyperplasia [3], however it did not perform well for discrimination between other pairs of stages. Hence, a normalization procedure is presented in order to increase the performance of the features.…”

Section: Features Related To Depthmentioning

confidence: 90%

“…In our previous work, we performed simulation of RF Echo from breast ducts mimicking epithelium hyperplastic growth [3]. Now, we perform simulations considering different depths.…”

Section: Simulation Of Rf Echo From Breast Ducts At Different Depthsmentioning

confidence: 99%

“…Now, we perform simulations considering different depths. We numbered the stages of hyperplasia formation inside the breast ducts starting from the normal duct [3]. Stage 1, 2, 3, 4, and 5 correspond to normal duct, hyperplasia, atypical hyperplasia, ductal carcinoma in situ, and infiltrating ductal carcinoma, respectively.…”

Section: Simulation Of Rf Echo From Breast Ducts At Different Depthsmentioning

confidence: 99%

“…Ultrasonic imaging can be used to classify various stages of hyperplastic evolution in the breast tissue in order to avoid painful procedures performed on patients. In our previous work, we obtained a quite good performance for detection of different stages of hyperplasia formation in the ducts [3]. The RF echo reflected from the breast ducts is simulated as there is no database of ultrasound images available where the cases of hyperplasia of different stages are present.…”

Section: Introductionmentioning

confidence: 99%

“…The extracted parameters are used for the classification of various stages of hyperplastic evolution in the breast ducts. The work in this paper uses our previous work [3] [5], and investigates parameters further considering simulations at different depths. A normalization procedure depending on depth is presented in order to increase the performance of the parameters.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Classification of the Stages of Hyperplasia in Breast Ducts by Analyzing Different Depths and Segmentation of Ultrasound Breast Scans into Ductal Areas

Taslidere¹,

Cohen²,

Γεωργίου³

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

In this paper, we study in depth the potential of detection of epithelium hyperplastic growth in the breast ducts leading to early breast cancer detection. Towards that end, we use a stochastic decomposition algorithm of the RF echo into its coherent and diffuse components that yields image parameters related to the structural parameters of the hyperplastic stages of the breast tissue. Previously, we proved that the two parameters, in particular the number of coherent scatterers and the Rayleigh scattering degree show very high ability to discriminate between various stages of hyperplasia even in cases of low resolution and low SNR values. In this paper, the discrimination power of the other parameters is studied further considering different depths using a point scatterer model simulator that mimics epithelium hyperplastic growth in the breast ducts. Significant improvement is obtained in the performance with the newly adopted method considering depth. Values of A z up to 0.974 are obtained when discriminating between pairs of stages using the parameter residual error variance. In addition, this paper presents a fast nonparametric segmentation procedure to locate the ducts illustrated using phantom data. The performance of the segmentation procedure is obtained as Az>0.948 for various regions of breast scans.

show abstract

Section: Features Related To Depthmentioning

confidence: 90%

“…In our previous work, we performed simulation of RF Echo from breast ducts mimicking epithelium hyperplastic growth [3]. Now, we perform simulations considering different depths.…”

Section: Simulation Of Rf Echo From Breast Ducts At Different Depthsmentioning

confidence: 99%

Section: Simulation Of Rf Echo From Breast Ducts At Different Depthsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Classification of the Stages of Hyperplasia in Breast Ducts by Analyzing Different Depths and Segmentation of Ultrasound Breast Scans into Ductal Areas

Taslidere¹,

Cohen²,

Γεωργίου³

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

show abstract

Classification of the Stages of Hyperplasia in Breast Ducts by Analyzing Different Depths and Segmentation of Ultrasound Breast Scans into Ductal Areas

Taslidere

Cohen²,

Γεωργίου³

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

In this paper, we study in depth the potential of detection of epithelium hyperplastic growth in the breast ducts leading to early breast cancer detection. Towards that end, we use a stochastic decomposition algorithm of the RF echo into its coherent and diffuse components that yields image parameters related to the structural parameters of the hyperplastic stages of the breast tissue. Previously, we proved that the two parameters, in particular the number of coherent scatterers and the Rayleigh scattering degree show very high ability to discriminate between various stages of hyperplasia even in cases of low resolution and low SNR values. In this paper, the discrimination power of the other parameters is studied further considering different depths using a point scatterer model simulator that mimics epithelium hyperplastic growth in the breast ducts. Significant improvement is obtained in the performance with the newly adopted method considering depth. Values of Az up to 0.974 are obtained when discriminating between pairs of stages using the parameter residual error variance. In addition, this paper presents a fast nonparametric segmentation procedure to locate the ducts illustrated using phantom data. The performance of the segmentation procedure is obtained as Az>0.948 for various regions of breast scans.

show abstract

Detecting the Stages of Hyperplasia Formation in the Breast Ducts Using Ultrasound B-Scan Images

Cited by 2 publications

References 7 publications

Classification of the Stages of Hyperplasia in Breast Ducts by Analyzing Different Depths and Segmentation of Ultrasound Breast Scans into Ductal Areas

Classification of the Stages of Hyperplasia in Breast Ducts by Analyzing Different Depths and Segmentation of Ultrasound Breast Scans into Ductal Areas

Classification of the Stages of Hyperplasia in Breast Ducts by Analyzing Different Depths and Segmentation of Ultrasound Breast Scans into Ductal Areas

Contact Info

Product

Resources

About