Difference between revisions of "Prostate segmentation and surface reconstruction"
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| − | This page contains instructions on how to perform MRI prostate segmentation and surface reconstruction in MIPAV. The algorithm facilities the validation of multi-parametric MRI with histopathology slides from radical prostatectomy specimens and targeted biopsy specimens. It employs the technique that combines image processing and computer aided design to construct a high resolution 3D prostate surface from MRI images in three orthogonal views with non-isotropic voxel resolution. | + | This page contains instructions on how to perform MRI prostate segmentation and surface reconstruction in [[MIPAV|Main Page]]. The algorithm facilities the validation of multi-parametric MRI with histopathology slides from radical prostatectomy specimens and targeted biopsy specimens. It employs the technique that combines image processing and computer aided design to construct a high resolution 3D prostate surface from MRI images in three orthogonal views with non-isotropic voxel resolution. |
The algorithm includes 3 major steps: | The algorithm includes 3 major steps: | ||
| − | + | # Semi-automatic [[B-Spline Automatic Registration]] | |
| − | + | # Ball-pivoting and Poisson based 3D surface reconstruction | |
| − | + | # 3D printing for prostate mold | |
The algorithm outline is shown below (TBD). | The algorithm outline is shown below (TBD). | ||
Revision as of 18:00, 20 February 2013
This page contains instructions on how to perform MRI prostate segmentation and surface reconstruction in Main Page. The algorithm facilities the validation of multi-parametric MRI with histopathology slides from radical prostatectomy specimens and targeted biopsy specimens. It employs the technique that combines image processing and computer aided design to construct a high resolution 3D prostate surface from MRI images in three orthogonal views with non-isotropic voxel resolution.
The algorithm includes 3 major steps:
- Semi-automatic B-Spline Automatic Registration
- Ball-pivoting and Poisson based 3D surface reconstruction
- 3D printing for prostate mold
The algorithm outline is shown below (TBD).
We present instructions on using the segmentation tool in step-wise order. An image dataset is also provided with the instruction, and the dataset can be obtained from: . For the image acquisition, the input data are MR images, which are obtained from a 3.0 T whole-body MRI system (Achieva, Philips Healthcare). T2-weighted MR images of the entire prostate were obtained in three orthogonal planes (sagittal, axial and coronal) at the scan resolution of 0.2734x0.2734x3.0 mm3; field of view 140 mm; image slice dimension 512x512. The center of the prostate is the focal point for the MRI scan. To reduce the scan time, a lower refocusing pulse of 100 degrees was used for sagittal and coronal images, which alters the contrast on these images compared to the axial images.
