A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI

Stefano Marrone, Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated in the last decades a great potential in screening of high-risk women for breast cancer, in staging newly diagnosed patients and in assessing therapy effects. The aim of this work is to propose a novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. The proposed measure is based on a compartmental model of blood plasma and of the extra vascular extra cellular space (EES) for tumour tissue. Its suitability for evaluating image registration techniques has been indirectly verified by considering the results obtained, after each image registration technique, by a CAD segmentation system, developed in our previous work. In particular, it has been shown that the ranking obtained by means of the proposed quality assessment measure is in agreement with the ranking of the CAD segmentation systems, proving that our measure can correctly evaluate image registration techniques in the DCE-MRI context.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computer-Based Medical Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-214
Number of pages6
ISBN (Print)9781479944354
DOIs
Publication statusPublished - 2014
Event27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, United States
Duration: May 27 2014May 29 2014

Other

Other27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
CountryUnited States
CityNew York, NY
Period5/27/145/29/14

Fingerprint

Image registration
Magnetic Resonance Imaging
Computer aided design
Neoplasm Staging
Blood Vessels
Breast Neoplasms
Tumors
Screening
Blood
Tissue
Plasmas
Neoplasms
Therapeutics

Keywords

  • DCE-MRI
  • Image Registration
  • Similarity Measures
  • Tofts Model

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging

Cite this

Marrone, S., Piantadosi, G., Fusco, R., Petrillo, A., Sansone, M., & Sansone, C. (2014). A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp. 209-214). [6881878] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2014.57

A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. / Marrone, Stefano; Piantadosi, Gabriele; Fusco, Roberta; Petrillo, Antonella; Sansone, Mario; Sansone, Carlo.

Proceedings - IEEE Symposium on Computer-Based Medical Systems. Institute of Electrical and Electronics Engineers Inc., 2014. p. 209-214 6881878.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Marrone, S, Piantadosi, G, Fusco, R, Petrillo, A, Sansone, M & Sansone, C 2014, A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. in Proceedings - IEEE Symposium on Computer-Based Medical Systems., 6881878, Institute of Electrical and Electronics Engineers Inc., pp. 209-214, 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014, New York, NY, United States, 5/27/14. https://doi.org/10.1109/CBMS.2014.57
Marrone S, Piantadosi G, Fusco R, Petrillo A, Sansone M, Sansone C. A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. In Proceedings - IEEE Symposium on Computer-Based Medical Systems. Institute of Electrical and Electronics Engineers Inc. 2014. p. 209-214. 6881878 https://doi.org/10.1109/CBMS.2014.57
Marrone, Stefano ; Piantadosi, Gabriele ; Fusco, Roberta ; Petrillo, Antonella ; Sansone, Mario ; Sansone, Carlo. / A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. Proceedings - IEEE Symposium on Computer-Based Medical Systems. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 209-214
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