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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Dce-MRI: Lesion Detection and Classification in Breast Cancer

Dce-MRI: Lesion Detection and Classification in Breast Cancer

Fusco Roberta
Sansone Mario
Petrillo Antonella

Paperback

Technology & Engineering

ISBN10: 3659427578
ISBN13: 9783659427572
Publisher: Lap Lambert Academic Pub
Published: Jul 19 2013
Pages: 160
Weight: 0.54
Height: 0.37 Width: 6.00 Depth: 9.00
Language: English
Dynamic contrast-enhanced MRI (DCE-MRI) is a well established, high-performance, imaging modality for the diagnosis and management of patients with solid tumors. In the last two decades, the diagnosis, grading and classification of tumours has considerably benefited from the development of DCE-MRI which is now essential for the adequate clinical management of many tumour types. The main aim of this work is to investigate the use of semi-quantitative and quantitative functional parameters for segmentation and classification of breast lesions via DCE-MRI. The objectives of the work can be detailed as follows: to review and describe the most diffused techniques for evaluating the time intensity curve in DCE-MRI with a focus on tracer kinetics models proposed in literature; to evaluate the influence of the parametrization of the classic bi-compartmental model; to assess the performance of simultaneous tracer kinetic modelling and pixel classification as either suspicious or not suspicious; to assess the performance of machine learning techniques using morphological, textural and dynamic features for segmentation and classification of breast lesions.

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