Perelman School of Medicine at the University of Pennsylvania

Shen Lab

SPHARM-MAT

SPHARM-MAT is implemented based on a powerful 3D Fourier surface representation method called SPHARM, which creates parametric surface models using spherical harmonics. It is a matlab-based 3D shape modeling and analysis toolkit, and is designed to aid statistical shape analysis for relating morphometric changes in 3D structures of interest to different conditions. The project is supported by NIBIB R03EB008674.

SPHARM-MAT v1.0.0 is released: DownloadDocumentation (PDF)

References

Shen L, Cong S, Inlow M. Statistical shape analysis for brain structures. In Zheng G, Li S, Szekely G, editors. Statistical Shape and Deformation Analysis (1st Edition): Methods, Implementation and Applications, Elsevier Inc., 2017.

Shen L, Kim S, Wan J, West JD, Saykin AJ. Fourier methods for 3D surface modeling and analysis. Emerging Topics in Computer Vision and Its Applications, World Scientific Pub Co Inc, 2011.

Shen L, Kim S, Saykin AJ. Fourier method for large scale surface modeling and registration. Computers and Graphics (Special Issue on Shape Modeling International 2009), 33(3):299-311.

Shen L, Firpi HA, Saykin AJ, West JD. Parametric surface modeling and registration for comparison of manual and automated segmentation of the hippocampus. Hippocampus, 19(6):588-95, 2009.

Shen L, Farid H, and McPeek MA. Modeling 3-dimensional morphological structures using spherical harmonics. Evolution, 63(4):1003-1016, 2009.

Shen L, Huang H, Makedon FS, and Saykin AJ. Efficient registration of 3D SPHARM surfaces. CRV 2007: Fourth Canadian Conference on Computer and Robot Vision, Montreal, QC, pages 81-88, May 28-30, 2007.

Shen L and Chung MK. Large-scale modeling of parametric surfaces using spherical harmonics. IEEE 3DPVT 2006: Third International Symposium on 3D Data Processing, Visualization and Transmission, UNC, Chapel Hill, USA, June 14-16, 2006.

Shen L, and Makedon FS. Spherical mapping for processing of 3-D closed surfaces. Image and Vision Computing, 24(7): 743-761, 2006.