{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T07:11:48Z","timestamp":1781075508077,"version":"3.54.1"},"reference-count":23,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2015,6,10]],"date-time":"2015-06-10T00:00:00Z","timestamp":1433894400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Ultrason Imaging"],"published-print":{"date-parts":[[2016,5]]},"abstract":"<jats:p>Breast ultrasound (BUS) imaging has become a crucial modality, especially for providing a complementary view when other modalities (i.e., mammography) are not conclusive in the task of assessing lesions. The specificity in cancer detection using BUS imaging is low. These false-positive findings often lead to an increase of unnecessary biopsies. In addition, increasing sensitivity is also challenging given that the presence of artifacts in the B-mode ultrasound (US) images can interfere with lesion detection. To deal with these problems and improve diagnosis accuracy, ultrasound elastography was introduced. This paper validates a novel lesion segmentation framework that takes intensity (B-mode) and strain information into account using a Markov Random Field (MRF) and a Maximum a Posteriori (MAP) approach, by applying it to clinical data. A total of 33 images from two different hospitals are used, composed of 14 cancerous and 19 benign lesions. Results show that combining both the B-mode and strain data in a unique framework improves segmentation results for cancerous lesions (Dice Similarity Coefficient of 0.49 using B-mode, while including strain data reaches 0.70), which are difficult images where the lesions appear with blurred and not well-defined boundaries.<\/jats:p>","DOI":"10.1177\/0161734615589287","type":"journal-article","created":{"date-parts":[[2015,6,10]],"date-time":"2015-06-10T20:35:19Z","timestamp":1433968519000},"page":"209-224","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":20,"title":["Breast-lesion Segmentation Combining B-Mode and Elastography Ultrasound"],"prefix":"10.1177","volume":"38","author":[{"given":"Gerard","family":"Pons","sequence":"first","affiliation":[{"name":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joan","family":"Mart\u00ed","sequence":"additional","affiliation":[{"name":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Mart\u00ed","sequence":"additional","affiliation":[{"name":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergi","family":"Ganau","sequence":"additional","affiliation":[{"name":"Radiology Department, UDIAT-Centre Diagn\u00f2stic, Corporaci\u00f3 Parc Taul\u00ed, Sabadell, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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