@inproceedings{ccd548b9d0c24def93202addb23c6946,
title = "Segmentation of multispectral bladder MR images with inhomogeneity correction for virtual cystoscopy",
abstract = "Virtual cystoscopy (VC) is a developing noninvasive, safe, and low-cost technique for bladder cancer screening. Multispectral (T1- and T 2-weighted) magnetic resonance (MR) images provide a better tissue contrast between bladder wall and bladder lumen comparing with computed tomography (CT) images. The intrinsic T1 and T2 contrast of the urine against the bladder wall eliminates the invasive air insufflation procedure which is often used in CT-based VC. We propose a new partial volume (PV) segmentation scheme with inhomogeneity correction to segment multispectral MR images for tumor screening by virtual cystoscopy. The proposed PV segmentation algorithm automatically estimates the bias field and segments tissue mixtures inside each voxel of MR images, thus preserving texture information. Experimental results indicate that the present scheme is promising towards mass screening by virtual cystoscopy means.",
keywords = "Inhomogeneity correction, Multispectral MR images, Non-invasive screening, Partial volume segmentation, Virtual cystoscopy",
author = "Lihong Li and Zhengrong Liang and Su Wang and Hongyu Lu and Xinzhou Wei and Mark Wagshul and Marlene Zawin and Posniak, {Erica J.} and Lee, {Christopher S.}",
year = "2008",
doi = "10.1117/12.769914",
language = "English (US)",
isbn = "9780819471000",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2008 - Physiology, Function, and Structure from Medical Images",
note = "Medical Imaging 2008 - Physiology, Function, and Structure from Medical Images ; Conference date: 17-02-2008 Through 19-02-2008",
}
