Highlights
- •Creation of a database with realistically in shape irregular breast lesions.
- •Lesion models from breast tomosynthesis and whole-body and cadaver CT images.
- •Irregular lesions obtained with mathematical algorithms.
Abstract
Purpose
We present the development and the current state of the MaXIMA Breast Lesions Models Database, which is intended to provide researchers with both segmented and mathematical computer-based
breast lesion models with realistic shape.
Methods
The database contains various 3D images of breast lesions of irregular shapes, collected
from routine patient examinations or dedicated scientific experiments. It also contains
images of simulated tumour models. In order to extract the 3D shapes of the breast
cancers from patient images, an in-house segmentation algorithm was developed for
the analysis of 50 tomosynthesis sets from patients diagnosed with malignant and benign
lesions. In addition, computed tomography (CT) scans of three breast mastectomy cases
were added, as well as five whole-body CT scans. The segmentation algorithm includes
a series of image processing operations and region-growing techniques with minimal
interaction from the user, with the purpose of finding and segmenting the areas of
the lesion. Mathematically modelled computational breast lesions, also stored in the
database, are based on the 3D random walk approach.
Results
The MaXIMA Imaging Database currently contains 50 breast cancer models obtained by segmentation
of 3D patient breast tomosynthesis images; 8 models obtained by segmentation of whole
body and breast cadavers CT images; and 80 models based on a mathematical algorithm.
Each record in the database is supported with relevant information. Two applications
of the database are highlighted: inserting the lesions into computationally generated
breast phantoms and an approach in generating mammography images with variously shaped
breast lesion models from the database for evaluation purposes. Both cases demonstrate
the implementation of multiple scenarios and of an unlimited number of cases, which
can be used for further software modelling and investigation of breast imaging techniques.
The created database interface is web-based, user friendly and is intended to be made
freely accessible through internet after the completion of the MaXIMA project.
Conclusions
The developed database will serve as an imaging data source for researchers, working
on breast diagnostic imaging and on improving early breast cancer detection techniques,
using existing or newly developed imaging modalities.
Keywords
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Article info
Publication history
Published online: August 03, 2019
Accepted:
July 22,
2019
Received in revised form:
July 1,
2019
Received:
December 5,
2018
Identification
Copyright
© 2019 Published by Elsevier Ltd on behalf of Associazione Italiana di Fisica Medica.
