Solving the Inclination Sign Ambiguity in Three Dimensional Polarized Light Imaging with a PDE-Based Method

Abstract : Three dimensional Polarized Light Imaging (3D-PLI) is a contrast-enhancing technique that measures the spatial fiber architecture in the human postmortem brain or heart at a submillimeter resolution. In a voxel, the 3D fiber orientation is defined by the direction angle and the inclination angle whose sign is unknown. To have an accurate explanation of fiber orientation, it is compulsory to clear up this sign ambiguity. A tilting process provides information about the true inclination sign, however the technique is highly sensitive to noise. In this work, a partial differential equations based method is proposed to reduce the noise: the total variation model of Rudin-Osher-Fatemi is extended to 3D orientation vector images to restore the sign. The proposed algorithm is evaluated on synthetic and human heart data and results show that the true sign of the inclination angle can be successfully extracted.
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal.inria.fr/hal-01533363
Contributor : Olu Dara <>
Submitted on : Tuesday, June 6, 2017 - 1:23:32 PM
Last modification on : Monday, April 30, 2018 - 3:42:02 PM
Long-term archiving on: Thursday, September 7, 2017 - 12:45:19 PM

Identifiers

  • HAL Id : hal-01533363, version 1

Collections

Citation

Abib O. Y. Alimi, Marco Pizzolato, Rutger Fick, Rachid Deriche. Solving the Inclination Sign Ambiguity in Three Dimensional Polarized Light Imaging with a PDE-Based Method. ISBI 2017 – IEEE International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨hal-01533363⟩

Share

Metrics

Record views

298

Files downloads

787