ROI-based multiresolution compression of heart MR images

Patrick Piscaglia; Vincent Vaerman; Carmen de Sola Fabregas; Jean-Philippe Thiran; Benoit M. M. Macq

doi:10.1117/12.312536

26 June 1998 ROI-based multiresolution compression of heart MR images

Patrick Piscaglia, Vincent Vaerman, Carmen de Sola Fabregas, Jean-Philippe Thiran, Benoit M. M. Macq

Proceedings Volume 3335, Medical Imaging 1998: Image Display; (1998) https://doi.org/10.1117/12.312536
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

In this paper, we present an image compression scheme based on the automatic segmentation of regions of interest (RoI) and a lossy wavelet compression algorithm adapted to this segmentation. Quasi-lossless compression is applied to the RoI while lossy compression is allowed outside the RoI, preserving at best the visual quality of the decoded image within a defined RoI. In fact, for diagnostic accuracy purposes, quasi- lossless compression is often mandatory, while high compression ratio can only be achieved by lossy compression methods. The proposed technique is applied to heart MR images where the RoI is the entire heart. First, an unsupervised segmentation of the heart is performed in the original MR images, and the RoI is modeled by an ellipse fitted by means of a genetic algorithm. This model is defined by only 5 parameters, providing an efficient representation of the surrounding shape of the RoI. Compression is then applied using a wavelet-based multiresolution scheme. The quantization factor applied to the wavelet coefficients is adapted to the region and the subband, leading to the quasi-lossless compression in the RoI and lossy compression outside this RoI. The quantization difference between inside and outside RoI is also optimized for the desired compression ratio. Finally, the compressed bitstream is transmitted to the decoder together with the parameters of the RoI, allowing the reconstruction of the RoI surrounding shape in the decoder. Results of this RoI- based compression scheme are presented and further compared with the JPEG standard.

Citation Download Citation

Patrick Piscaglia, Vincent Vaerman, Carmen de Sola Fabregas, Jean-Philippe Thiran, and Benoit M. M. Macq "ROI-based multiresolution compression of heart MR images", Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); https://doi.org/10.1117/12.312536

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