Improvement of Breast Elastogram Quality in Static Ultrasound Elastography using Biophysical Parameters

Taher Slimi^1*, Ines Marzouk Moussa^2,3, Tarek Kraiem^1,3,4 and Halima Mahjoubi¹

¹Tunis El Manar University, High Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, 9th Dr. Zouhair Essafi Street, 1006 Tunis, Tunisia

²University Hospital Center of Monji Slim, Department of Medical Imaging and Radiology, 2046 Marsa, Tunisia

³Tunis El Manar University, Faculty of Medicine of Tunis, Department of Biophysics, 1007 Rabta, Tunisia

⁴Department of National Radiation Protection Center, Bab Sadoun Children’s Hospital, 1006 Tunisia

*Corresponding Author : Taher Slimi
Tunis El Manar University, High Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, Tunisia
Tel: 00216 22 352 994
E-mail: Slimi.taher@hotmail.com

Received: February 02, 2016 Accepted: April 26, 2017 Published: May 02, 2017

Citation: Slimi T, Moussa IM, Kraiem T, Mahjoubi H (2017) Improvement of Breast Elastogram Quality in Static Ultrasound Elastography using Biophysical Parameters. J Diagn Tech Biomed Anal 6:1. ddoi: 10.4172/2469-5653.1000118

Static ultrasound elastography is a technique that provides information on local tissue elasticity. However, it is known that the quality of the image in static ultrasound breast elastography is significantly degraded by speckle noise, artifacts and poor information accuracy. In this context, the implementation of an optimum technique for treating the elastogram is then indispensable. In this article, the study focuses on the research for a strategy that reduces the propagation of speckle noise and artifact; biophysical parametric tools have been introduced to improve the quality of breast elastogram. The study was performed on 40 patients with malignant tumors. Accurate and excellent breast elastogram was observed in proposed method results. By configuring the rate of probe movement in the range from 90 to 120 cycles/ min, the dynamic elasticity in the scale from 1 to 9, the persistence at level 8, smoothing at level 4, and rejection at level 3, we obtain a higher performance for breast elastogram, it gives a better values in term of Standard Deviation (SD), better Contrast to Noise Ratio (CNR) and better Signal to Noise Ratio (SNR). The results of the proposed model are encouraging, allowing quick and reliable estimation.