Abstract
Objectives: Images got from image intensifier to assess joint movements during surgery are usually distorted. This paper aims to get exact high resolution image from such low resolution (distorted, blurred) images using super resolution image reconstruction. Methods/Statistical analysis: This method uses different images taken from the video of the original procedure of studying a patient with stiff hip to assess his hip movement under image intensifier. The proposed method uses the Singular Value Decomposition (SVD) transformation model for the purpose of reconstruction. In this work two data sets of images extracted as video from a c-arm –image intensifier imaging of a patient with disease of left hip are analysed. Findings: While capturing a fast moving object needs a camera with more radiation. Image intensifiers-even with methods like gating have disadvantage of smear phenomenon when capturing fast moving objects. But clear, quick analysis is needed in operation room setting where time is vital. In this method details like the inferior cortex of the neck of femur or proximal end of the trochanter which is absent in captured figures are appreciated in output high resolution image. Thus the outputs generated without omitting essential details. Application/Improvements: Distorted images captured during real-time procedures in the operation theatre while patient’s part is moving is resolved using Super Resolution Image Reconstruction technique. Thus surgeon understand the patient’s bone better. Procedures like placing a screw or passing a guide wire to reduce a fracture can be easily done with such a methodology. Keywords: Bone Images, Image Intensifier, Image Reconstruction, Moving, Super Resolution
Highlights
Imaging is an integral part of management of patients
Passage of the implants within the patient’s body involves movements. Capturing such moving objects and producing them as images is routinely done by machines like image intensifiers[1]
Gating is a method employed in the image intensifier to reduce the motion blurr[3]. Even after such employing such methods still there are blur in the images which needed to analyse in the operation room setting, where time is important. It is in this background, we hypotheses that if images of good resolution are available to the surgeon even with moving limbs captured with the same image intensifier, the result of the surgery will be even better
Summary
Imaging is an integral part of management of patients. It is used in three areas viz 1. Passage of the implants within the patient’s body involves movements Capturing such moving objects and producing them as images is routinely done by machines like image intensifiers[1]. The disadvantages are that in the imaging intensifier there can be noise high gamma value – high contrast and more radiation exposure to the patient and the team which is operating. Even after such employing such methods still there are blur in the images which needed to analyse in the operation room setting, where time is important It is in this background, we hypotheses that if images of good resolution are available to the surgeon even with moving limbs captured with the same image intensifier, the result of the surgery will be even better. In this work we have applied an algorithm to simplify the work of the surgeon in understanding the image captured during the movement of the limb during a procedure
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