Optical Flow as a Tool for Cardiac Motion Estimation

Ibarra, Emiro; Medina, Rubén; Morocho, Villie; Vanegas, Pablo

doi:10.1109/apcase.2015.38

Cited by 4 publications

(8 citation statements)

References 26 publications

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“…Table 1 shows the average AE retained by applying the optical flow estimation methods on the Yosemite sequence with clouds and without clouds. The results obtained by [27,28] were better than those produced by [26] but the obtained optical flow seemed sparse. Therefore, they were missing many useful details especially local moving information.…”

Section: Comparisonmentioning

confidence: 75%

“…Therefore, they were missing many useful details especially local moving information. According to [28], the method of [27] in visual comparison shows that it could generate a higher robustness than [26]. The largest AE of each index shown given by [26] was an expected result of the measurement of the dense optical flow with low robustness.…”

Section: Comparisonmentioning

confidence: 97%

“…According to [28], the method of [27] in visual comparison shows that it could generate a higher robustness than [26]. The largest AE of each index shown given by [26] was an expected result of the measurement of the dense optical flow with low robustness. Therefore, we can say that the estimated optical flow used in [27,28] was almost close and presented good accuracy.…”

Section: Comparisonmentioning

confidence: 97%

“…In this table, the comparison of the average AE of our method with three others of [26][27][28] is given. The performance of optical flow estimation of these algorithms was given using the Middlebury dataset image sequences.…”

Section: Comparisonmentioning

confidence: 99%

See 3 more Smart Citations

Accurate Realtime Motion Estimation Using Optical Flow on an Embedded System

2021

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Motion estimation has become one of the most important techniques used in realtime computer vision application. There are several algorithms to estimate object motions. One of the most widespread techniques consists of calculating the apparent velocity field observed between two successive images of the same scene, known as the optical flow. However, the high accuracy of dense optical flow estimation is costly in run time. In this context, we designed an accurate motion estimation system based on the calculation of the optical flow of a moving object using the Lucas–Kanade algorithm. Our approach was applied on a local treatment region implemented into Raspberry Pi 4, with several improvements. The efficiency of our accurate realtime implementation was demonstrated by the experimental results, showing better performance than with the conventional calculation.

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Section: Comparisonmentioning

confidence: 75%

Section: Comparisonmentioning

confidence: 97%

Section: Comparisonmentioning

confidence: 97%

Section: Comparisonmentioning

confidence: 99%

See 2 more Smart Citations

Accurate Realtime Motion Estimation Using Optical Flow on an Embedded System

2021

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“…Several studies based on the optical flow approach have been developed in the literature to estimate the movement and the displacement of the myocardium [30,31]. This approach is a representation of the apparent movement of objects from a sequence of images.…”

Section: Optical Flow Methodsmentioning

confidence: 99%

The Assessment of left ventricular Function in MRI using the detection of myocardial borders and optical flow approaches: A Review

Benameur

Kraim

Arous

et al. 2017

ijcp

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The evaluation of left ventricular wall motion in Magnetic Resonance Imaging (MRI) clinical practice is based on a visual assessment of cine-MRI sequences. In fact, clinical interpreters (radiologists) proceed with a global visual evaluation of multiple cine-MRI sequences acquired in the three standard views. In addition, some functional parameters are quantified following a manual or a semi-automatic contouring of the myocardial borders. Although these parameters give information about the functional state of the left ventricle, they are not able to provide the location and the extent of wall motion abnormalities, which are associated with many cardiovascular diseases. In the past years, several approaches were developed to overcome the limitations of the classical evaluation techniques of left ventricular function. The aim of this article is to present an overview of the different methods and to summarize the relevant techniques based on myocardial contour detection and optical flow for regional assessment of left ventricular abnormalities.

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