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Article: Strain Compounding: Improvement in Contour Extraction of Ultrasonic Breast Imaging

TitleStrain Compounding: Improvement in Contour Extraction of Ultrasonic Breast Imaging
Authors
KeywordsComputer Aided Diagnosis
Contour Extraction
Strain Compounding
Ultrasonic Imaging
Issue Date2003
Citation
Journal Of Medical And Biological Engineering, 2003, v. 23 n. 3, p. 103-109 How to Cite?
AbstractComputer-aided diagnosis for breast diseases has gained wide interest. In ultrasound, the automatic diagnosis typically requires knowledge of the shape of a lesion, thus making contour extraction a critical step. Unfortunately, the speckle noise inherent in an ultrasonic image not only lowers the contrast resolution but also limits the accuracy of contour extraction. Thus, speckle noise reduction is desired prior to contour extraction. Contour extraction with a speckle noise reduction technique called strain compounding is presented in this paper. Strain compounding reduces speckle noise by incoherently combing partially correlated measurements of the same image object. Efficacy of speckle reduction using strain compounding has been demonstrated on both simulated and clinical images under different strain conditions. It was shown that speckle noise can be effectively reduced without significant degradation in spatial resolution. In this paper, we further demonstrate its ability to improve accuracy of contour extraction. Simulations and clinical images are both included and the improvement is also quantified and discussed.
Persistent Identifierhttp://hdl.handle.net/10722/167053
ISSN
2015 Impact Factor: 1.018
2015 SCImago Journal Rankings: 0.387
References

 

DC FieldValueLanguage
dc.contributor.authorLee, WNen_US
dc.contributor.authorLi, PCen_US
dc.date.accessioned2012-09-28T04:02:23Z-
dc.date.available2012-09-28T04:02:23Z-
dc.date.issued2003en_US
dc.identifier.citationJournal Of Medical And Biological Engineering, 2003, v. 23 n. 3, p. 103-109en_US
dc.identifier.issn1609-0985en_US
dc.identifier.urihttp://hdl.handle.net/10722/167053-
dc.description.abstractComputer-aided diagnosis for breast diseases has gained wide interest. In ultrasound, the automatic diagnosis typically requires knowledge of the shape of a lesion, thus making contour extraction a critical step. Unfortunately, the speckle noise inherent in an ultrasonic image not only lowers the contrast resolution but also limits the accuracy of contour extraction. Thus, speckle noise reduction is desired prior to contour extraction. Contour extraction with a speckle noise reduction technique called strain compounding is presented in this paper. Strain compounding reduces speckle noise by incoherently combing partially correlated measurements of the same image object. Efficacy of speckle reduction using strain compounding has been demonstrated on both simulated and clinical images under different strain conditions. It was shown that speckle noise can be effectively reduced without significant degradation in spatial resolution. In this paper, we further demonstrate its ability to improve accuracy of contour extraction. Simulations and clinical images are both included and the improvement is also quantified and discussed.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Medical and Biological Engineeringen_US
dc.subjectComputer Aided Diagnosisen_US
dc.subjectContour Extractionen_US
dc.subjectStrain Compoundingen_US
dc.subjectUltrasonic Imagingen_US
dc.titleStrain Compounding: Improvement in Contour Extraction of Ultrasonic Breast Imagingen_US
dc.typeArticleen_US
dc.identifier.emailLee, WN: wnlee@hku.hken_US
dc.identifier.authorityLee, WN=rp01663en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0347363797en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0347363797&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume23en_US
dc.identifier.issue3en_US
dc.identifier.spage103en_US
dc.identifier.epage109en_US
dc.publisher.placeTaiwan, Republic of Chinaen_US
dc.identifier.scopusauthoridLee, WN=22634980600en_US
dc.identifier.scopusauthoridLi, PC=34875149900en_US

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