Comparison of Optical Flow Methods: Study About Left Ventricular Tracking in Multi View Echocardiographic Images

Asyhari, Mohamad Walid; Sigit, Riyanto; Dewantara, Bima Sena Bayu; Anwar, M. S.

doi:10.1109/ies53407.2021.9593990

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…A presenting symmetric matrix, b is the vector, and c is used as a scalar. To consider respective quadratic polynomials, a refined signal

constructed for the global displacement ( d ) [ 64 ]. Using the global displacement concept shown in Equations (6) and (7), we equated the pixel with an iterative result to get the average blood flow velocity in each zebrafish video.…”

Section: Methodsmentioning

confidence: 99%

OpenBloodFlow: A User-Friendly OpenCV-Based Software Package for Blood Flow Velocity and Blood Cell Count Measurement for Fish Embryos

Farhan

Saputra

Suryanto

et al. 2022

Biology

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The transparent appearance of fish embryos provides an excellent assessment feature for observing cardiovascular function in vivo. Previously, methods to conduct vascular function assessment were based on measuring blood-flow velocity using third-party software. In this study, we reported a simple software, free of costs and skills, called OpenBloodFlow, which can measure blood flow velocity and count blood cells in fish embryos for the first time. First, videos captured by high-speed CCD were processed for better image stabilization and contrast. Next, the optical flow of moving objects was extracted from the non-moving background in a frame-by-frame manner. Finally, blood flow velocity was calculated by the Gunner Farneback algorithm in Python. Data validation with zebrafish and medaka embryos in OpenBloodFlow was consistent with our previously published ImageJ-based method. We demonstrated consistent blood flow alterations by either OpenBloodFlow or ImageJ in the dorsal aorta of zebrafish embryos when exposed to either phenylhydrazine or ractopamine. In addition, we validated that OpenBloodFlow was able to conduct precise blood cell counting. In this study, we provide an easy and fully automatic programming for blood flow velocity calculation and blood cell counting that is useful for toxicology and pharmacology studies in fish.

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“…A presenting symmetric matrix, b is the vector, and c is used as a scalar. To consider respective quadratic polynomials, a refined signal

Section: Methodsmentioning

confidence: 99%

OpenBloodFlow: A User-Friendly OpenCV-Based Software Package for Blood Flow Velocity and Blood Cell Count Measurement for Fish Embryos

Farhan

Saputra

Suryanto

et al. 2022

Biology

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show abstract

“…In this research, the good features of the left ventricular wall were used for optical flow monitoring using the Lucas-Kanade method. Reference [20], uses a good line obtained from a transverse line on the contour used for left ventricular monitoring. The proposed method provides calculation results with a sensitivity of 83.27%, accuracy of 91.51%.…”

Section: Trackingmentioning

confidence: 99%

New Method For Classifying Heart In Multiview Echocardiographic Images

Asyhari

Sigit

Dewantara

et al. 2022

ijcs

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Echocardiography is a test that uses high-frequency sound waves to describe the structure of the heart. Echocardiography is used by doctors to analyze the movement of the walls in the heart chambers and identify heart disease. Several images, including the long-axis, short-axis, 2-chamber and 4-chamber left ventricle, can be used to check heart function. Many studies that have been carried out, including cardiac evaluation, are still carried out conventionally and require a certain level of accuracy. In this research, several methods proposed to achieve object extraction are used to build a classification system, the steps start with image enhancement, segmentation, tracking, extraction, output characteristics, validation and classification. Imaging enhancement aims to improve the echocardiographic image, thereby clarifying the edges of the heart wall. In addition, the images are reprocessed to separate the left ventricle from the heart wall and generate ventricular contours, at the segmentation stage. The contours are obtained by looking for the good features on each heart wall. In this approach, good features are identified only on the first image of the left ventricular slice. The good feature points used are 24 point which will be grouped into 6 segments. In addition, all images will be processed using the optical flow method to track the movement of the walls of the heart. Optical flow tracing will generate direction and distance feature extraction values that can be used to describe the resulting data features and find a suitable classification algorithm that is combined using different validation techniques, namely K-fold and Leave-one-out. In its implementation, Classifier Support Vector Machine (SVM) with rbf core achieves the highest accuracy. The SVM classification algorithm with validation techniques, namely k-fold cross-validation and leave-one-out cross-validation, reaches an accuracy value of 100% and 100%.

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Comparison of Optical Flow Methods: Study About Left Ventricular Tracking in Multi View Echocardiographic Images

Cited by 2 publications

References 14 publications

OpenBloodFlow: A User-Friendly OpenCV-Based Software Package for Blood Flow Velocity and Blood Cell Count Measurement for Fish Embryos

OpenBloodFlow: A User-Friendly OpenCV-Based Software Package for Blood Flow Velocity and Blood Cell Count Measurement for Fish Embryos

New Method For Classifying Heart In Multiview Echocardiographic Images

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