Metrics for Assessing the Similarity of Microwave Breast Imaging Scans of Healthy Volunteers

Microwave radar imaging is promising as a complementary medical imaging modality. However, the unique nature of the images means interpretation can be difficult. As a result, it is important to understand the sources of image differences, and how much variability is inherent in the imaging system it...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on medical imaging 2018-08, Vol.37 (8), p.1788-1798
Main Authors: Lavoie, Benjamin R., Bourqui, Jeremie, Fear, Elise C., Okoniewski, Michal
Format: Article
Language:English
Subjects:
Antenna measurements
Breast
Breast cancer
Image acquisition
Medical imaging
Microwave imaging
Microwave radar
Microwaves
Phantoms
Radar
Radar imaging
Similarity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Microwave radar imaging is promising as a complementary medical imaging modality. However, the unique nature of the images means interpretation can be difficult. As a result, it is important to understand the sources of image differences, and how much variability is inherent in the imaging system itself. To address this issue, we compare the effectiveness of six different measures of image similarity for quantifying the similarity (or difference) between two microwave radar images. The structural similarity index has become the de facto standard for image comparison, but we propose that useful information can be acquired from a measure known as the Modified Hausdorff Distance. We apply each measure to image pairs from sequential scans of both phantoms and volunteers. We find that rather than using a single value to quantify the image similarity, by computing a number of values that are designed to capture different image aspects, we can better assess the ways in which the images differ.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2018.2806878