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Improving the contrast of breast cancer masses in ultrasound using an autoregressive model based filter.

Abstract:

The assessment and diagnosis of breast cancer with ultrasound is a challenging problem due to the low contrast between cancer masses and benign tissue. Due to this low contrast it has proven to be difficult to achieve reliable segmentation results on breast cancer masses. An autoregressive model has been employed to filter out of the backscattered RF-signal from a tissue harmonic image which is not degraded by harmonic leakage. Measurements on the filtered image have shown a significant (up t...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention More from this journal
Volume:
10
Issue:
Pt 1
Pages:
153-160
Publication date:
2007-01-01
ISSN:
0302-9743
Language:
English
Keywords:
Pubs id:
pubs:62548
UUID:
uuid:ad5334fa-6996-4e05-979c-78c6c304d52f
Local pid:
pubs:62548
Source identifiers:
62548
Deposit date:
2013-11-17

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