DocumentCode :
617290
Title :
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
Link To Document :
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