Task-oriented lossy compression of magnetic resonance images

Mark C. Anderson; M. Stella Atkins; Jacques Vaisey

doi:10.1117/12.238451

15 April 1996 Task-oriented lossy compression of magnetic resonance images

Mark C. Anderson, M. Stella Atkins, Jacques Vaisey

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238451
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

A new task-oriented image quality metric is used to quantify the effects of distortion introduced into magnetic resonance images by lossy compression. This metric measures the similarity between a radiologist's manual segmentation of pathological features in the original images and the automated segmentations performed on the original and compressed images. The images are compressed using a general wavelet-based lossy image compression technique, embedded zerotree coding, and segmented using a three-dimensional stochastic model-based tissue segmentation algorithm. The performance of the compression system is then enhanced by compressing different regions of the image volume at different bit rates, guided by prior knowledge about the location of important anatomical regions in the image. Application of the new system to magnetic resonance images is shown to produce compression results superior to the conventional methods, both subjectively and with respect to the segmentation similarity metric.

Citation Download Citation

Mark C. Anderson, M. Stella Atkins, and Jacques Vaisey "Task-oriented lossy compression of magnetic resonance images", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238451

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