Finding lesion correspondences in different views of automated 3D breast ultrasound

Tao Tan, Bram Platel, Michael Hicks, Ritse M. Mann, Nico Karssemeijer

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)


Screening with automated 3D breast ultrasound (ABUS) is gaining popularity. However, the acquisition of multiple views required to cover an entire breast makes radiologic reading time-consuming. Linking lesions across views can facilitate the reading process. In this paper, we propose a method to automatically predict the position of a lesion in the target ABUS views, given the location of the lesion in a source ABUS view. We combine features describing the lesion location with respect to the nipple, the transducer and the chestwall, with features describing lesion properties such as intensity, spiculation, blobness, contrast and lesion likelihood. By using a grid search strategy, the location of the lesion was predicted in the target view. Our method achieved an error of 15.64 mm±16.13 mm. The error is small enough to help locate the lesion with minor additional interaction.

主出版物標題Medical Imaging 2013
主出版物子標題Computer-Aided Diagnosis
出版狀態Published - 2013
事件Medical Imaging 2013: Computer-Aided Diagnosis - Lake Buena Vista, FL, United States
持續時間: 12 2月 201314 2月 2013


名字Proceedings of SPIE - The International Society for Optical Engineering


ConferenceMedical Imaging 2013: Computer-Aided Diagnosis
國家/地區United States
城市Lake Buena Vista, FL


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