Marilyn Baird | PubMed Health

PubMed2006

Perceptually lossless medical image coding.

A novel perceptually lossless coder is presented for the compression of medical images. Built on the JPEG 2000 coding framework, the heart of the proposed coder is a visual pruning function, embedded with an advanced human vision model to identify and to remove visually insignificant/irrelevant information. The proposed coder offers the advantages of simplicity and modularity with bit-stream compliance. Current results have shown superior compression ratio gains over that of its information lossless counterparts without any visible distortion. In addition, a case study consisting of 31 medical experts has shown that no perceivable difference of statistical significance exists between the original images and the images compressed by the proposed coder.

Algorithms↗

PubMed2001

SOLAR: student oriented learning about radiography.

The success or otherwise of a radiographic examination is like other health-related interventions, crucially dependent upon the knowledge base of the radiographer and the quality of his/her clinical acumen. Traditional curricular approaches are limited in their ability to assist students to make vital connections between science and clinical decision making. This paper describes a computer-based case-oriented program called SOLAR (student oriented learning about radiography) that has been designed to achieve the necessary level of integration. The key feature of SOLAR is the requirement for students to construct a clinical action plan in response to a scenario provided. Upon submitting this plan, the student can then compare his/her plan to that prepared by an expert. The browsing configuration of SOLAR makes it highly attractive for other health professions as well. Student feedback indicates a high degree of approval for this approach.

Journal Article↗