Welcome!

This is the online ePortfolio of Jun Hu, Justin Shek (0842536), and Arthur Wong (0957192), students in the Medical Radiation Sciences [Radiography] program with McMaster University and Mohawk College.

Radiographic imaging is a fundamental component of diagnosis in the clinical setting. However, there are various potential sources of error that can produce images that are unusable for diagnosis. The aim of quality control in the radiographic imaging setting is to minimize errors made because of human or apparatus error.

The content of this ePortfolio pertains to the labs, modules, assignments, and assessments of our quality control course, MEDRADSC 3H03: Quality Control in Radiography. By discussing the expectations, goals, and achievements of the aforementioned material, we hope to show how our understanding and appreciation of quality control practices in a radiographic setting will progress.

We have chosen to create this ePortfolio through an online blog format over other formats for three reasons:

1. Various media formats (text, audio, video, images, etc.) are supported
2. Online hosting makes updates and posts possible from virtually anywhere
3. Updates can be added at the poster's leisure and are not restricted to any one user's computer

Furthermore, by posting directly online it is our hope that information and knowledge in this ePortfolio can be more rapidly shared with the world than through conventional means.

Friday, March 23, 2012

Cluster 3 Introduction

In cluster 3 of 3H03 course, we are considering the following quality control features:
 
  1. Linearity
  2. Reproducibility
  3. Dark noise
  4. Leeds test tool
  5. CR technique chart


In this e-portfolio, we will talk about three of labs more in detail. The three labs are Dark Noise, Linearity, and Reproducibility which are presented by Justin, Arthur, and Jun respectively.
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