Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis

Author

Cheng, Russell ; Bernardo, Marcelino ; Senseney, Justin ; Bokinsky, Alexandra ; Gandler, William ; Turkbey, Baris ; Pohida, Thomas ; Choyke, Peter ; McAuliffe, Matthew J.

Author_Institution

Image Sci. Lab., Nat. Inst. of Health, Bethesda, MD, USA

fYear

2013

fDate

7-11 April 2013

Firstpage

185

Lastpage

189

Abstract

This work presents a MRI prostate segmentation and surface reconstruction model that facilities the validation of multiparametric MRI with histopathology slides from radical prostatectomy specimens and targeted biopsy specimens. Application of this technique combines image processing and computer aided design to provide a generalized solution to construct a high resolution 3D prostate surface from MRI images in three orthogonal views with non-isotropic voxel resolution. The performance of the segmentation is evaluated with 45 MR image datasets, yielding an average segmentation accuracy of 90%.

Keywords

biological organs; biomedical MRI; cancer; image reconstruction; image segmentation; medical image processing; MRI images; MRI prostate segmentation model; MRI prostate surface reconstruction model; computer aided design; high resolution 3D prostate surface; histopathology slide; image processing; multiparametric MRI validation; nonisotropic voxel resolution; orthogonal view; prostate cancer diagnosis; radical prostatectomy specimen; targeted biopsy specimen; Image reconstruction; Image resolution; Image segmentation; Magnetic resonance imaging; Splines (mathematics); Surface reconstruction; Surface treatment; Prostate Segmentation; Registration; Surface Reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on

Conference_Location

San Francisco, CA

ISSN

1945-7928

Print_ISBN

978-1-4673-6456-0

Type

conf

DOI

10.1109/ISBI.2013.6556443

Filename

6556443