Directional interpolation using neural networks

Chulhee Lee; Bongjun Lee; Kwanghoon Sohn

doi:10.1117/12.438261

28 August 2001 Directional interpolation using neural networks

Chulhee Lee, Bongjun Lee, Kwanghoon Sohn

Proceedings Volume 4388, Visual Information Processing X; (2001) https://doi.org/10.1117/12.438261
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

In this paper, we propose a 3D directional interpolation algorithm for brain magnetic resonance (MR) images using neural networks. Typically, brain images consist of a number of 2D images. Although the sequences of 2D images provide basic information on structure, abnormality and etc., further processing on the sequences provides far more information. In processing 3D images, interpolation operation is one of the most widely used operations. In most conventional interpolation algorithms in the 3D space, the interpolation operation is performed separately in each coordinate that is orthogonal to each other. However, since the shape of the brain is roughly a sphere, interpolation along three orthogonal coordinates may result in some distortion, particularly in the vicinity of the boundary. In order to address this problem, we propose a new 3D interpolation algorithm. In the proposed method, we first perform the interpolation along two orthogonal coordinates. In order to find the best interpolation in the remaining coordinate, we search various directions that are not orthogonal to the two orthogonal coordinates using a cost function. Then we use neural networks to determine the final direction for interpolation. Experiments with brain MR images show improved results.

Citation Download Citation

Chulhee Lee, Bongjun Lee, and Kwanghoon Sohn "Directional interpolation using neural networks", Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); https://doi.org/10.1117/12.438261

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available