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Motion estimation using the firefly algorithm in ultrasonic image sequence of soft tissue.

Chao CF, Horng MH, Chen YC - Comput Math Methods Med (2015)

Bottom Line: These images usually have a low signal-to-noise ratio presentation.The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors.The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Information Engineering, National Pingtung University, No. 4-18, Minsheng Road, Pingtung 90003, Taiwan.

ABSTRACT
Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors. In this paper, a new motion estimation algorithm is developed for assessing the velocity field of soft tissue in a sequence of ultrasonic B-mode images. The proposed iterative firefly algorithm (IFA) searches for few candidate points to obtain the optimal motion vector, and then compares it to the traditional iterative full search algorithm (IFSA) via a series of experiments of in vivo ultrasonic image sequences. The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method.

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An image of ultrasonic extensor tendon image sequence.
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fig2: An image of ultrasonic extensor tendon image sequence.

Mentions: Because of the substantial computational power of modern ultrasound systems, it is potential to evaluate muscle motion in real time [1]. The forearm extensors and extensor tendon are at the back of the forearm that typically cause pain at the outer aspect of the elbow. These muscles and tendon act to extend the wrist and fingers to bend the wrist backwards and straighten the fingers. In experiments, images were obtained by scanning the extensor tendon in longitudinal cross section. The images were taken from the tendon portions when the subject's wrist moved extension to flexion. Figure 2 shows an ultrasonic extensor tendon image sequence, whose frame rate is 39 frames of one second.


Motion estimation using the firefly algorithm in ultrasonic image sequence of soft tissue.

Chao CF, Horng MH, Chen YC - Comput Math Methods Med (2015)

An image of ultrasonic extensor tendon image sequence.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4383159&req=5

fig2: An image of ultrasonic extensor tendon image sequence.
Mentions: Because of the substantial computational power of modern ultrasound systems, it is potential to evaluate muscle motion in real time [1]. The forearm extensors and extensor tendon are at the back of the forearm that typically cause pain at the outer aspect of the elbow. These muscles and tendon act to extend the wrist and fingers to bend the wrist backwards and straighten the fingers. In experiments, images were obtained by scanning the extensor tendon in longitudinal cross section. The images were taken from the tendon portions when the subject's wrist moved extension to flexion. Figure 2 shows an ultrasonic extensor tendon image sequence, whose frame rate is 39 frames of one second.

Bottom Line: These images usually have a low signal-to-noise ratio presentation.The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors.The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Information Engineering, National Pingtung University, No. 4-18, Minsheng Road, Pingtung 90003, Taiwan.

ABSTRACT
Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors. In this paper, a new motion estimation algorithm is developed for assessing the velocity field of soft tissue in a sequence of ultrasonic B-mode images. The proposed iterative firefly algorithm (IFA) searches for few candidate points to obtain the optimal motion vector, and then compares it to the traditional iterative full search algorithm (IFSA) via a series of experiments of in vivo ultrasonic image sequences. The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method.

Show MeSH
Related in: MedlinePlus