Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach

Mahsa Torkaman; Romeil Sandhu; Allen Tannenbaum

doi:10.1117/12.2292654

2 March 2018 Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach

Mahsa Torkaman, Romeil Sandhu, Allen Tannenbaum

Proceedings Volume 10574, Medical Imaging 2018: Image Processing; 105742Y (2018) https://doi.org/10.1117/12.2292654
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

Breast cancer is one of the most commonly diagnosed neoplasms among American women and the second leading cause of death among women all over the world. In order to reduce the mortality rate and cost of treatment, early diagnosis and treatment are essential. Accurate and reliable diagnosis is required in order to ensure the most effective treatment and a second opinion is often advisable. In this paper, we address the problem of breast lesion detection from ultrasound imagery by means of active contours, whose evolution is driven by maximizing the Bhattacharyya distance¹ between the probability density functions (PDFs). The proposed method was applied to ultrasound breast imagery, and the lesion boundary was obtained by maximizing the distance-based energy functional such that the maximum (optimal contour) is attained at the boundary of the potential lesion. We compared the results of the proposed method quantitatively using the Dice coefficient (similarity index)² to well-known GrowCut segmentation method³ and demonstrated that Bhattacharyya approach outperforms GrowCut in most of the cases.

Citation Download Citation

Mahsa Torkaman, Romeil Sandhu, and Allen Tannenbaum "Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach", Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105742Y (2 March 2018); https://doi.org/10.1117/12.2292654

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