Segmentation and three-dimensional reconstruction of lesions using the automated breast volume scanner (ABVS).
BACKGROUND
Ultrasound is an effective tool for breast cancer diagnosis. However, its relatively low image quality makes small lesion analysis challenging. This promotes the development of tools to help clinicians in the diagnosis.


METHODS
We propose a method for segmentation and three-dimensional (3D) reconstruction of lesions from ultrasound images acquired using the automated breast volume scanner (ABVS). Segmentation and reconstruction algorithms are applied to obtain the lesion's 3D geometry. A total of 140 artificial lesions with different sizes and shapes are reconstructed in gelatin-based phantoms and biological tissue. Dice similarity coefficient (DSC) is used to evaluate the reconstructed shapes. The algorithm is tested using a human breast phantom and clinical data from six patients.


RESULTS
DSC values are 0.86 ± 0.06 and 0.86 ± 0.05 for gelatin-based phantoms and biological tissue, respectively. The results are validated by a specialized clinician.


CONCLUSIONS
Evaluation metrics show that the algorithm accurately segments and reconstructs various lesions. Copyright © 2016 John Wiley & Sons, Ltd.
Department of Biomechanical Engineering, University of Twente, P. O. Box 217, 7500 AE, Enschede, Overijsel, Netherlands.|Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal.
Teresa
T
Araújo
Department of Biomechanical Engineering, University of Twente, P. O. Box 217, 7500 AE, Enschede, Overijsel, Netherlands.|Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02119, USA.
Momen
M
Abayazid
Department of Radiology, Jeroen Bosch Hospital, Nieuwstraat 34, 5211, NL's-Hertogenbosch, The Netherlands.
Matthieu J C M
MJCM
Rutten
Department of Biomechanical Engineering, University of Twente, P. O. Box 217, 7500 AE, Enschede, Overijsel, Netherlands.|Department of Biomedical Engineering, University of Groningen and University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
Sarthak
S
Misra
D000465:Algorithms; D001940:Breast / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003196:Computer Graphics; D003936:Diagnosis, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D019047:Phantoms, Imaging; D014463:Ultrasonography / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data; D014584:User-Computer Interface
breast lesion segmentation; computer-assisted diagnosis; three-dimensional reconstruction; ultrasound