STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis

Zheng Yuanjie; Sarah Englander; Mitchell D. Schnall; Dinggang Shen

doi:10.1109/ISBI.2007.356903

STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis

Zheng Yuanjie^*
, Sarah Englander
, Mitchell D. Schnall
, Dinggang Shen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

This paper demonstrates the importance of capturing SpatialTemporal Enhancement Pattern (STEP) for completely characterizing breast tumor in contrast-enhanced MR images. STEP captures not only the dynamic enhancement and architectural features of tumor, but also the spatial variations of pixel-wise temporal enhancement of tumor. Although the latter has been widely used by radiologist during diagnosis, it is rarely considered as important features for computer-aided tumor diagnosis. Notice that, by regarding serial contrast-enhanced images as a single spatial-temporal image, STEP can capture all types of the features within a single framework. In particular, a Fourier transformation is used to extract various temporal enhancement features, followed by moment invariants to capture spatial patterns of each temporal enhancement feature. Experimental results show the better performance of our designed STEP features than many other features available in the literature. The area under ROC curve can reach 0.96 with our STEP features in tumor diagnosis.

Original language	English
Title of host publication	2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Pages	520-523
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2007.356903
Publication status	Published - 2007
Event	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States Duration: 2007 Apr 12 → 2007 Apr 15

Publication series

Name	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country/Territory	United States
City	Arlington, VA
Period	07/4/12 → 07/4/15

Keywords

Breast tumor diagnosis
Feature extraction
Magnetic resonance imaging

ASJC Scopus subject areas

Electrical and Electronic Engineering
General Medicine

Access to Document

10.1109/ISBI.2007.356903

Cite this

Yuanjie, Z., Englander, S., Schnall, M. D., & Shen, D. (2007). STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 520-523). Article 4193337 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). https://doi.org/10.1109/ISBI.2007.356903

STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis. / Yuanjie, Zheng; Englander, Sarah; Schnall, Mitchell D. et al.
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 520-523 4193337 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yuanjie, Z, Englander, S, Schnall, MD & Shen, D 2007, STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193337, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 520-523, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, Arlington, VA, United States, 07/4/12. https://doi.org/10.1109/ISBI.2007.356903

Yuanjie Z, Englander S, Schnall MD, Shen D. STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 520-523. 4193337. (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). doi: 10.1109/ISBI.2007.356903

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title = "STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis",

abstract = "This paper demonstrates the importance of capturing SpatialTemporal Enhancement Pattern (STEP) for completely characterizing breast tumor in contrast-enhanced MR images. STEP captures not only the dynamic enhancement and architectural features of tumor, but also the spatial variations of pixel-wise temporal enhancement of tumor. Although the latter has been widely used by radiologist during diagnosis, it is rarely considered as important features for computer-aided tumor diagnosis. Notice that, by regarding serial contrast-enhanced images as a single spatial-temporal image, STEP can capture all types of the features within a single framework. In particular, a Fourier transformation is used to extract various temporal enhancement features, followed by moment invariants to capture spatial patterns of each temporal enhancement feature. Experimental results show the better performance of our designed STEP features than many other features available in the literature. The area under ROC curve can reach 0.96 with our STEP features in tumor diagnosis.",

keywords = "Breast tumor diagnosis, Feature extraction, Magnetic resonance imaging",

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AB - This paper demonstrates the importance of capturing SpatialTemporal Enhancement Pattern (STEP) for completely characterizing breast tumor in contrast-enhanced MR images. STEP captures not only the dynamic enhancement and architectural features of tumor, but also the spatial variations of pixel-wise temporal enhancement of tumor. Although the latter has been widely used by radiologist during diagnosis, it is rarely considered as important features for computer-aided tumor diagnosis. Notice that, by regarding serial contrast-enhanced images as a single spatial-temporal image, STEP can capture all types of the features within a single framework. In particular, a Fourier transformation is used to extract various temporal enhancement features, followed by moment invariants to capture spatial patterns of each temporal enhancement feature. Experimental results show the better performance of our designed STEP features than many other features available in the literature. The area under ROC curve can reach 0.96 with our STEP features in tumor diagnosis.

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STEP: Spatial-temporal enhancement pattern, for MR-based breast tumor diagnosis

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Keywords

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