A fully automatic multi-atlas based segmentation method for prostate MR images

Proceedings of SPIE
Zhiqiang TianBaowei Fei

Abstract

Most of multi-atlas segmentation methods focus on the registration between the full-size volumes of the data set. Although the transformations obtained from these registrations may be accurate for the global field of view of the images, they may not be accurate for the local prostate region. This is because different magnetic resonance (MR) images have different fields of view and may have large anatomical variability around the prostate. To overcome this limitation, we proposed a two-stage prostate segmentation method based on a fully automatic multi-atlas framework, which includes the detection stage i.e. locating the prostate, and the segmentation stage i.e. extracting the prostate. The purpose of the first stage is to find a cuboid that contains the whole prostate as small cubage as possible. In this paper, the cuboid including the prostate is detected by registering atlas edge volumes to the target volume while an edge detection algorithm is applied to every slice in the volumes. At the second stage, the proposed method focuses on the registration in the region of the prostate vicinity, which can improve the accuracy of the prostate segmentation. We evaluated the proposed method on 12 patient MR volumes by performing a lea...Continue Reading

Citations

Jan 24, 2018·Journal of Otolaryngology - Head & Neck Surgery = Le Journal D'oto-rhino-laryngologie Et De Chirurgie Cervico-faciale·John E IyaniwuraSumit K Agrawal
Mar 30, 2020·Strahlentherapie und Onkologie : Organ der Deutschen Röntgengesellschaft ... [et al]·Olmo Zavala-RomeroRadka Stoyanova
Aug 25, 2018·Strahlentherapie und Onkologie : Organ der Deutschen Röntgengesellschaft ... [et al]·Kyle R PadgettRadka Stoyanova
Jun 23, 2020·Medical & Biological Engineering & Computing·Giovanni L F da SilvaElton A A de Cavalcanti

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