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Comput Med Imaging Graph. 2015 Mar;40:70-87. doi: 10.1016/j.compmedimag.2014.10.003. Epub 2014 Oct 23.

Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy.

Author information

1
Department of Mathematics, Colorado State University, 841 Oval Drive, Fort Collins, CO 80523, United States. Electronic address: emerson@math.colostate.edu.
2
Department of Mathematics, Colorado State University, 841 Oval Drive, Fort Collins, CO 80523, United States. Electronic address: kirby@math.colostate.edu.
3
The Scripps Clinic, Department of Pathology, 10666 N Torrey Pines Road, La Jolla, CA 92037, United States. Electronic address: Bethel.Kelly@scrippshealth.org.
4
The Scripps Research Institute, The Kuhn Lab, 10550 N Torrey Pines Road, La Jolla, CA 92037, United States. Electronic address: anandk@scripps.edu.
5
The Scripps Research Institute, The Kuhn Lab, 10550 N Torrey Pines Road, La Jolla, CA 92037, United States. Electronic address: mluttgen@scripps.edu.
6
DigitalGlobe, Image Mining Group, 1601 Dry Creek Drive, Longmont, CO 80503, United States. Electronic address: svohara@ieee.org.
7
Department of Aerospace and Mechanical Engineering, University of Southern California Viterbi School of Engineering, Los Angeles, CA 90089, United States. Electronic address: newton@usc.edu.
8
The Kuhn Lab, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, United States. Electronic address: peter.kuhn@usc.edu.

Abstract

We address the problem of subclassification of rare circulating cells using data driven feature selection from images of candidate circulating tumor cells from patients diagnosed with breast, prostate, or lung cancer. We determine a set of low level features which can differentiate among candidate cell types. We have implemented an image representation based on concentric Fourier rings (FRDs) which allow us to exploit size variations and morphological differences among cells while being rotationally invariant. We discuss potential clinical use in the context of treatment monitoring for cancer patients with metastatic disease.

[Indexed for MEDLINE]

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