Aims and objectives
The Penumbra-Effect describes blurring at the margins of an image-profile due to the finite size of the energy source.
We used a computer aided detection (CAD) algorithm based on the De-Convolution Technique  to pinpoint true-edge positions to sub-pixel accuracy and remove the Penumbra-Effect via sub-pixel transfers without trade-off losses .
We assessed enhancement resulting from the removal of the Penumbra-Effect.
We used CR images,
Radial Circle of Willis angiogram MIP (Maximum...
Methods and materials
We used Composite phantom and New-York Catphan-500 images for calibration.
We analyzed 2 CR images,
30 radial MRA MIP images,
and 155 CT images and took measurements.
Phantom calibrations: Measurements: At 1% low-contrast,
distance accurate to 1/44th of a pixel,
and area/volume to 1/14th of a pixel. Field-Examples: (1) Computed Radiograph of a 2 year old female infant patient's left Tibia & Fibula were examined.
& 3 illustrated that,
(i) Fig.1 - the original image of Tibia & Fibula at one angle with ROI placed on the fracture,
2a and Fig.
2b - the 'before' and 'after' enhancement of 7x ROI,
which clearly showed the...
Accurate measurements of distance,
and volume in CR,
and CT obtained using this de-convolution CAD can be used to monitor disease response to therapy.
For further inquiries,
please contact Dr.
Kui Ming Chui,
either via website: www.iet.org.uk or via e-mail: firstname.lastname@example.org .
 “ A De-Convolution Technique used for NDT in X-ray and CT”,
Oral/Full paper presentation in 17 th World Conference on Non-Destructive Testing (17WCNDT),
2008 (NDT.net – The e-Journal & Database of Non-Destructive Testing – ISSN 1435-4934).  “The removal of the penumbra effect by a CAD based on the de-convolution technique”.
Several field examples were used to demonstrate the merits of this...