Data-driven selection of motion correction techniques in breast DCE-MRI

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

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

6 Citations (Scopus)

Abstract

It is well known that some sort of motion correction technique (MCT) should be performed before DCE-MRI data analysis in order to reduce movement artefacts. However, it is not clear if a single MCT can produce optimum results for every single examination, since for example different movements can occur. In this paper we investigated the possibility of choosing the best MCT per each specific patient, before performing further data analysis (e.g. tumour segmentation). In particular, our aim is the proposal of some physiological model-based quality indexes (QIs) for ranking different MCT on a patient basis. Moreover, for practical feasibility, we investigated the performance of our proposal when only a small fraction of the available data was used. We performed tests on a dataset of patients with breast tumour. Specifically, for each patient we compared the 'reference ranking' of different MCT obtained by using the results of tumour segmentation with the rankings produced with each QI. Our results indicate that the ranking obtained by using the QI based on the Extended Tofts-Kermode model (with the Parker arterial input function) are in accordance with the 'reference ranking'. Moreover, computational load can be significantly reduced without affecting the overall performance by using only 5% of the available data.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages273-278
Number of pages6
ISBN (Print)9781479964765
DOIs
Publication statusPublished - Jun 30 2015
Event2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Torino, Italy
Duration: May 7 2015May 9 2015

Other

Other2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015
CountryItaly
CityTorino
Period5/7/155/9/15

Fingerprint

Magnetic resonance imaging
Tumors
Physiological models

Keywords

  • DCE-MRI
  • Extended Tofts Model
  • Hyton-Brady Model
  • Image Registration
  • Motion Correction
  • Quality Index
  • Tofts Model

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications

Cite this

Piantadosi, G., Marrone, S., Fusco, R., Petrillo, A., Sansone, M., & Sansone, C. (2015). Data-driven selection of motion correction techniques in breast DCE-MRI. In 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings (pp. 273-278). [7145212] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeMeA.2015.7145212

Data-driven selection of motion correction techniques in breast DCE-MRI. / Piantadosi, Gabriele; Marrone, Stefano; Fusco, Roberta; Petrillo, Antonella; Sansone, Mario; Sansone, Carlo.

2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 273-278 7145212.

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

Piantadosi, G, Marrone, S, Fusco, R, Petrillo, A, Sansone, M & Sansone, C 2015, Data-driven selection of motion correction techniques in breast DCE-MRI. in 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings., 7145212, Institute of Electrical and Electronics Engineers Inc., pp. 273-278, 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015, Torino, Italy, 5/7/15. https://doi.org/10.1109/MeMeA.2015.7145212
Piantadosi G, Marrone S, Fusco R, Petrillo A, Sansone M, Sansone C. Data-driven selection of motion correction techniques in breast DCE-MRI. In 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 273-278. 7145212 https://doi.org/10.1109/MeMeA.2015.7145212
Piantadosi, Gabriele ; Marrone, Stefano ; Fusco, Roberta ; Petrillo, Antonella ; Sansone, Mario ; Sansone, Carlo. / Data-driven selection of motion correction techniques in breast DCE-MRI. 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 273-278
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