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OPTIMIZATION TECHNIQUE FOR POST PROCESSING OF COMPUTER TOMOGRAPHY IMAGES BASED ON DISPLAY FIELD OF VIEW

IP.com Disclosure Number: IPCOM000237329D
Publication Date: 2014-Jun-13
Document File: 4 page(s) / 69K

Publishing Venue

The IP.com Prior Art Database

Abstract

The invention proposes a technique to define boundary of a circle at starting of post processing, and limit computation only with a circle in CT image domain. Size of the circle depends on size of the image and on an algorithm specific parameter applied on the image. This optimization approach does not compromise the image quality of the CT images -while reducing the computational overload. Detecting area of interest allows reduction in storage space requirements and data transfer rates. The reduced storage space requirement can be utilized in picture archiving and communication system (PACS).

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OPTIMIZATION TECHNIQUE FOR POST PROCESSING OF COMPUTER TOMOGRAPHY IMAGES BASED ON DISPLAY FIELD OF VIEW

FIELD OF INVENTION

The invention generally relates to a computer tomography image domain and more particularly to optimization technique for post processing of the computer tomography images domain.

BACKGROUND OF THE INVENTION

An image in a computer tomography (CT) scanner is always circular owing to acquisition technique. Circular data is superimposed on a square matrix with sides equal to diameter of circle to acquire final image. Diameter of circle is scan field of view (SFOV) or as specified by a user as display field of view (DFOV). This approach does not distinguish between the relevant data inside the circle and irrelevant ones outside. As a result, every pixel of the image is processed and at the last step, the pixel outside the circle is set to zero.

A conventional technique includes an approach to determine and eliminate background in CT image reconstruction. But, in a conventional way, this is not focused on the post-processing part of reconstruction. Hence there exists a need for an efficient optimization technique for post processing only the relevant pixels in a CT image.

BRIEF DESCRIPTION OF THE INVENTION

The invention proposes a technique to define boundary of a circle at starting of post processing, and limit computation only with the circle in a CT image. Size of the circle depends on size of the image and on an algorithm specific parameter applied on the image. This optimization approach does not compromise the image quality of the CT images and reduces computational overload.

DETAILED DESCRIPTION OF THE INVENTION

The invention proposes a technique to define boundary of a circle at the starting of a post processing, and limit computation only with the circle in a CT image. Size of the circle depends on size of the image and on an algorithm specific parameter applied on the image. This optimization approach does not compromise image quality of the CT images while reducing the computational overload. Detecting area of interest allows reduction in requirement for storage space and data transfer rates. The reduced storage space requirement can be utilized in picture archiving and communication system (PACS).

If, X_size represents the maximum x-dimension

Y_size represents the maximum y-direction

(XC, YC) represent the center of image, where

Xc = ⌊X_size/2⌋ and Yc = ⌊Y_size/2⌋

D_FOV represents the diameter of FOV in number of pixels, which is X_size.

R_FOV=⌈D_FOV/2⌉ represents the radius of FOV in number of pixels and depicted as inner circle in FIG.1.

R_P is a padded radius in number of pixels and depicted as outer circle in FIG.1.

N_WND is maximum window size utilized in any of the algorithms for any operation.

β is ⌈√2⌉ for even sized images as center of the image is shifted or, 0 for odd sized images.

τ is tolerance distance in number of pixels, based on the algorithmic requirements.

(x, y) represents an...