Format

Send to

Choose Destination
Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2384-7. doi: 10.1109/EMBC.2014.6944101.

Computer-aided detection of brain metastases using a three-dimensional template-based matching algorithm.

Abstract

The purpose of this work was to develop an algorithm for detecting brain metastases in magnetic resonance imaging (MRI), emphasizing the reduction of false positives. Firstly, three-dimensional templates were cross-correlated with the brain volume. Afterwards, each lesion candidate was segmented in the three orthogonal views as a previous step to remove elongated structures such as blood vessels. In a database containing 19 patients and 62 brain metastases, detection algorithm showed a sensitivity of 93.55%. After applying the method for false positive reduction, encouraging results were obtained: false positive rate per slice decreased from 0.64 to 0.15 and only one metastasis was removed, leading to a sensitivity of 91.94%.

PMID:
25570469
DOI:
10.1109/EMBC.2014.6944101
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for IEEE Engineering in Medicine and Biology Society
Loading ...
Support Center