lesson 4 Flashcards
refers to the specialized techniques and instrumentation used to create images or information of the human body for clinical purposes or medical science
medical imaging
is the process of examining and passing a judgment on the appropriateness or level of quality standards
Quality evaluation
most important basic distinction in evaluation types is
formative and summative evaluation
The concept of information entropy was introduced by Claude Shannon in BLANK paper. “A Mathematical Theory of Communication
1948
In information theory, the entropy of random variable is the average level of “ information”, “surprise”, or “uncertainty” inherent in the variable’s possible outcomes.
Entropy in Statistics
is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data.
Statistics
is the randomness collected by an system or application for use in cryptography or other uses that require random data. This randomness is often collected from hardware sources, either pre-existing ones such as mouse movements or socially provided randomness generators.
Entrophy
is a process used to encrypt a word, a number in a particular code or pattern based on some set of rules
Coding
- is process to decrypt the pattern into its original form from the given codes
- is the ability to break the secret code
Decoding
a dramatic change in form or appearance
Transformation
Refers to handling images by using the computer. This processing includes many types of techniques and operations such as image gaining, storage, presentation, and communication.
Medical Imaging Processing
Iterative reconstruction refers to iterative algorithms that reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography, an image must be reconstructed from projections of an object.
Image Reconstruction
is the process of removing noise from a signal
Noise reduction
Is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space
Image Compression
The ability of computer systems or software to exchange and make use of information
Interoperability
Radiology was formed in 1998 to address interoperability and information-sharing issues that impact the quality of care in medical imaging. It has developed and documented standards-based solutions to these problems and organized testing and education to foster their adoption
IHE (INTEGRATING the HEALTHCARE ENTERPRISE)
Pass (a liquid, gas, light, or sound) through a device to remove unwanted material. “the patient is hooked up to a dialysis machine twice a week to filter out the cholesterol in the blood”
Filtering
created by the energy savings trust to address Thermal Bridging performance in SAP calculations for build homes
Construction and Enhancement
acquires the image and then processes, archives, and displays it very differently from film-radiography
Digital radiography
- the term that was used to reflect exposure to the radiographic film
- the degree of overall blackening from the deposit of black metallic silver in the film emulsion as a result of exposure
Density
Four primary image quality factors:
- Image receptor exposure
- contrast
(are photographic or visibility of detail quality factors) - Spatial resolution
- distortion
(are geometric quality factor)
The majority of displays used in radiology today are liquid crystal display (LCDs) backlit with cold-cathode fluorescent lamps (CCFLs). New display options include light emitting diode (LED) – backlit displays.
Medical Image Displaying
In medical imaging, many applications require visualization and analysis of three-dimensional (3D) objects . Visualization is the process of exploring, transforming , and view data as images to gain understanding and insight into the data, which requires fast interactive speed and high image quality
Medical Image Visualization
Paper we discuss the impact of using algorithms for dictionary learning to build adaptive and sparse representations of medical images
Medical Image Representation