Indian Journal of Science and Technology

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