Abstract

Image registration plays a significant role in the medical image processing field. This paper proposes a development on the accuracy and performance of the Speeded-Up Robust Surf (SURF) algorithm to create Extended Field of View (EFoV) Ultrasound (US) images through applying different matching measures. These measures include Euclidean distance, cityblock distance, variation, and correlation in the matching stage that was built in the SURF algorithm. The US image registration (fusion) was implemented depending on the control points obtained from the used matching measures. The matched points with higher frequency algorithm were proposed in this work to perform and enhance the EFoV for the US images, since the maximum accurate matching points would have been selected. The resulted fused images of these applied methods were evaluated subjectively and objectively. The objective assessment was conducted by calculating the execution time, peak signal to noise ratio (PSNR), and signal to noise ratio (SNR) of the registered images and the reference image which was fused manually by a physician. The results showed that the cityblock distance has the best result since it has the highest PSNR and SNR in addition to the lowest execution time.

Highlights

  • Ultrasound (US) medical image is one of the generally applied modalities nowadays because of its many advantages

  • The proposed methodology was applied as illustrated below in order to have accurate an Extended field of view (EFoV) US image when there are enough correct matching lines, and even if there are some errors in the matching lines . 1

  • The ultrasound method is widely used in medical imaging recently, but the US images suffer from several types of artifacts such as shadowing, reverberation, mirror image, poor enhancement, and comet-tail

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Summary

Introduction

Ultrasound (US) medical image is one of the generally applied modalities nowadays because of its many advantages. A main disadvantage of the sonographer transducers is that they are unsuitable for the documentation of comparatively enormous apparent structures [3]. In this consideration, the anatomic textures that have measurements surpassing those of the sonographer transducer can be authenticated just by sequential images. Due to the fact that the linear transducers field of view (FoV), which is restricted by the ideal 4–6 cm width of probe, is unsuitable for describing these structures in one image, an expansive US FoV is used to show extended anatomic portions of abnormally enlarged organs or massive lesions. Traditional US is restricted in the whole glands depiction, such as that of the hyperplastic thyroid gland, since the thyroid has thickness and distance that cannot be contained in one image

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