title: Image quality assessment via segmentation of breast lesion in X-ray and ultrasound phantom images from Fischer's full field digital mammography and ultrasound (FFDMUS) system.
abstract: Fischer has been developing a fused full-field digital mammography and ultrasound (FFDMUS) system funded by the National Institute of Health (NIH). In FFDMUS, two sets of acquisitions are performed: 2-D X-ray and 3-D ultrasound. The segmentation of acquired lesions in phantom images is important: (i) to assess the image quality of X-ray and ultrasound images; (ii) to register multi-modality images; and (iii) to establish an automatic lesion detection methodology to assist the radiologist. In this paper we developed lesion segmentation strategies for ultrasound and X-ray images acquired using FFDMUS. For ultrasound lesion segmentation, a signal-to-noise (SNR)-based method was adapted. For X-ray segmentation, we used gradient vector flow (GVF)-based deformable model. The performance of these segmentation algorithms was evaluated. We also performed partial volume correction (PVC) analysis on the segmentation of ultrasound images. For X-ray lesion segmentation, we also studied the effect of PDE smoothing on GVF's ability to segment the lesion. We conclude that ultrasound image qualities from FFDMUS and Hand-Held ultrasound (HHUS) are comparable. The mean percentage error with PVC was 4.56% (4.31%) and 6.63% (5.89%) for 5 mm lesion and 3 mm lesion respectively. The mean average error from the segmented X-ray images with PDE yielded an average error of 9.61%. We also tested our program on synthetic datasets. The system was developed for Linux workstation using C/C++.
authors.affiliation: Fischer Imaging Corporation, 12300 North Grant St., Denver, CO, 80241 USA. jsuri@fischerimaging.com
authors.forename: Jasjit
authors.initials: J
authors.lastname: Suri
authors.forename: Yujun
authors.initials: Y
authors.lastname: Guo
authors.forename: Cara
authors.initials: C
authors.lastname: Coad
authors.forename: Tim
authors.initials: T
authors.lastname: Danielson
authors.forename: Idris
authors.initials: I
authors.lastname: Elbakri
authors.forename: Roman
authors.initials: R
authors.lastname: Janer
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods* / Q000592:standards*; D008327:Mammography / Q000295:instrumentation / Q000379:methods* / Q000592:standards*; D019047:Phantoms, Imaging; D014463:Ultrasonography; D014965:X-Rays