Title :
A PDE approach for measuring tissue thickness
Author :
Yezzi, Anthony ; Prince, Jerry L.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We outline an Eulerian framework for computing the thickness of tissues between two simply connected boundaries. Thickness is defined as the length of trajectories which follow a smooth vector field constructed in the region between the boundaries. A pair of partial differential equations (PDEs) are then solved and combined to yield length without requiring the explicit construction of the trajectories. An efficient, stable, and computationally fast solution to these PDEs is found by careful selection of finite differences according to an upwinding condition. The behavior and performance of the method is demonstrated on two simulations and two magnetic resonance imaging data sets in two and three dimensions. These experiments reveal very good performance and show strong potential for application in tissue thickness visualization and quantification.
Keywords :
biological tissues; biomedical MRI; finite difference methods; medical image processing; partial differential equations; thickness measurement; Eulerian framework; PDE approach; anatomical objects; computationally fast solution; explicit construction; finite differences; magnetic resonance imaging data sets; medical image analysis; partial differential equations; simply connected boundaries; smooth vector field; tissue thickness measurement; tissue thickness quantification; tissue thickness visualization; trajectory length; upwinding condition; Alzheimer´s disease; Biomedical imaging; Cardiac disease; Cardiovascular diseases; Data visualization; Image analysis; Image segmentation; Magnetic resonance imaging; Myocardium; Thickness measurement;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.990460