Radiologist evaluation of a multispectral image compression algorithm for magnetic resonance images

Area of Science:

• Medical Imaging
• Radiology
• Image Compression

Background:

• Teleradiology and Picture Archiving and Communication Systems (PACS) increase the importance of efficient image transmission and long-term archiving.
• Image compression algorithms offer a solution to reduce the costs associated with image storage and transmission.

Purpose of the Study:

• To evaluate the diagnostic integrity of lossy, multispectral image compression for magnetic resonance (MR) images.
• To determine if radiologic interpretation varies between original and compressed/decompressed (CD) MR image sets.

Main Methods:

• A lossy, multispectral image compression scheme was applied to 26 patient MR exams at compression ratios (CR) of 25:1 and 32:1.
• Original and CD image sets were evaluated in a blinded manner by four radiologists in two phases.

Main Results:

• A slight decrease in image quality was observed with the compression algorithm.
• Radiologic interpretation of pathology remained consistent between original and CD image sets in most cases.
• Only one instance out of many interpretations showed a change in pathology interpretation at the maximum CR of 32:1.

Conclusions:

• Lossy multispectral image compression at CR 25:1 maintains diagnostic integrity for MR images.
• This compression technique can significantly reduce costs for image storage and communication in teleradiology and PACS.
• The findings support the use of validated image compression algorithms for efficient medical imaging workflows.