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Proceedings Paper

Statistical 3D prostate imaging atlas construction via anatomically constrained registration
Author(s): Mirabela Rusu; B. Nicolas Bloch; Carl C. Jaffe; Neil M. Rofsky; Elizabeth M. Genega; Ernest Feleppa; Robert E. Lenkinski; Anant Madabhushi
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Paper Abstract

Statistical imaging atlases allow for integration of information from multiple patient studies collected across different image scales and modalities, such as multi-parametric (MP) MRI and histology, providing population statistics regarding a specific pathology within a single canonical representation. Such atlases are particularly valuable in the identification and validation of meaningful imaging signatures for disease characterization in vivo within a population. Despite the high incidence of prostate cancer, an imaging atlas focused on different anatomic structures of the prostate, i.e. an anatomic atlas, has yet to be constructed. In this work we introduce a novel framework for MRI atlas construction that uses an iterative, anatomically constrained registration (AnCoR) scheme to enable the proper alignment of the prostate (Pr) and central gland (CG) boundaries. Our current implementation uses endorectal, 1.5T or 3T, T2-weighted MRI from 51 patients with biopsy confirmed cancer; however, the prostate atlas is seamlessly extensible to include additional MRI parameters. In our cohort, radical prostatectomy is performed following MP-MR image acquisition; thus ground truth annotations for prostate cancer are available from the histological specimens. Once mapped onto MP-MRI through elastic registration of histological slices to corresponding T2-w MRI slices, the annotations are utilized by the AnCoR framework to characterize the 3D statistical distribution of cancer per anatomic structure. Such distributions are useful for guiding biopsies toward regions of higher cancer likelihood and understanding imaging profiles for disease extent in vivo. We evaluate our approach via the Dice similarity coefficient (DSC) for different anatomic structures (delineated by expert radiologists): Pr, CG and peripheral zone (PZ). The AnCoR-based atlas had a CG DSC of 90.36%, and Pr DSC of 89.37%. Moreover, we evaluated the deviation of anatomic landmarks, the urethra and veromontanum, and found 3.64 mm and respectively 4.31 mm. Alternative strategies that use only the T2-w MRI or the prostate surface to drive the registration were implemented as comparative approaches. The AnCoR framework outperformed the alternative strategies by providing the lowest landmark deviations.

Paper Details

Date Published: 13 March 2013
PDF: 9 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866913 (13 March 2013); doi: 10.1117/12.2006941
Show Author Affiliations
Mirabela Rusu, Case Western Reserve Univ. (United States)
B. Nicolas Bloch, Boston Univ. School of Medicine (United States)
Carl C. Jaffe, Boston Univ. School of Medicine (United States)
Neil M. Rofsky, The Univ. of Texas Southwestern Medical Ctr. (United States)
Elizabeth M. Genega, Beth Israel Deaconess Medical Ctr. (United States)
Ernest Feleppa, Riverside Research Institute (United States)
Robert E. Lenkinski, The Univ. of Texas Southwestern Medical Ctr. (United States)
Anant Madabhushi, Case Western Reserve Univ. (United States)


Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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