Medical Ultrasound2.5-dimensional Extended Field-of-view Imaging Research Based On Bezier Interpolation

There are three main techniques to obtain US EFOV(ultrasound extensive field of view)image in the existing medical B-mode imaging technology, including2D US EFOV imaging,3D imaging and3D US EFOV imaging. Although these techniques improve the diagnosis,there still exist some shortcomings.These imaging techniques are insufficient, in recent years, the medical2.5D US EFOVimaging entering people’s vision gradually.2.5D EFOV imaging overcomes the shortcomingsof traditional2D imaging registration time consuming, results interfere. Meanwhile2.5DEFOV imaging also overcomes the shortcomings of3D imaging and3D EFOV imaging, suchas imaging time consuming and bad human-computer interaction.This paper mainly talks about the background and development of the medical ultrasoundimaging techniques, the characteristics and basic principles of ultrasound imaging. Thetraditional2.5D US EFOV imaging include calibration, data collection and image generation,where the image generation is the key step. In the traditional2.5D US EFOV imaging, aposition sensor is attached on the ultrasound probe to track the space position of eachultrasound image, the ultrasound image is acquired at the same time through the dataacquisition card,2.5US EFOV image can be finally generated by cutting off the occlusionareas among the image sequences according the position information. Traditional2.5D USEFOV imaging technique is not very satisfactory, because the image surface is not smoothand has obvious stitching streaks, which makes2.5D US EFOV imaging not suitable forclinical application. So that, we propose a new2.5D US EFOV imaging technique based onBezier interpolation.To overcome the shortcoming of traditional2.5D image surface is not smooth, wereconstruct a blank2.5D image based on cubic Bezier interpolation before we reconstruct thereal2.5D image. Meanwhile, we also use image fusion technology to get optimal results.araanntggAt last, experimental result shows that the overall average errors for the distance andell eew mamse eiaansscuurrereeammseeednn tbtssy a a7rer et i0m.00e.66s83a±%n0d±.0202.t28im4c7me%s,a nraedns dp0e.4c02t.i73v7±e5l0y%..2±T3h40e.4d a6evg9er%reae,g, eww ehhriirccohhr fmmoeer aatnhnses tdthhieset aaancvccueerr aaangcdye error decline6times and2times, respectively. Meanwhile, the technique improves the imagequality obviously. We believe that the proposed2.5D US EFOV technique will furtherpromote the development of2.5D EFOV imaging techniques, which is suitable for humanforearm, thigh, spine, abdomen and other parts of human clinically.