牙髓不对称往复旋转的计算机辅助相位识别和帧间分析:初步研究

IF 0.8 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Image Analysis & Stereology Pub Date : 2020-06-08 DOI:10.5566/ias.2335

A. Fidler, E. O. Orhan, Özgür Irmak

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引用次数: 4

摘要

为了使用计算机辅助相位识别和帧对帧分析对往复运动进行详细评估，高速摄像机记录了300 rpm的连续旋转、RECIPROC ALL模式和WAVEONE ALL模式。利用数字视频分析建模工具对电影文件进行自动分析。RECIPROC ALL模式参数在428.32 rpm±7.61时为186.34°±1.02，在261.06 rpm±7.72时为65.07°±0.93;WAVEONE全模式参数在523.83 rpm±14.36时为191.39°±1.32，在316.06 rpm±8.75时为70.13°±1.26。在循环和明显的加速-减速模式中，转速的可变性在往复模式中是相似的。计算机辅助帧对帧分析表明，非对称往复运动具有更复杂的运动学，具有较高的峰值转速值和不同的加减速模式。虽然往复循环持续时间和转速不同，但两个循环在循环过程中表现出相似的转速动态。

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COMPUTER-AIDED PHASE IDENTIFICATION AND FRAME-TO-FRAME ANALYSIS OF ENDODONTIC ASYMMETRIC RECIPROCATION ROTATION: A PRELIMINARY STUDY

To perform a detailed evaluation of reciprocating motion using a computer-aided phase identification and frame-to-frame analysis, continuous rotation at 300 rpm, RECIPROC ALL mode and WAVEONE ALL-mode were recorded with a high-speed camera. Movie files were automatically analyzed with digital video analysis and modeling tool. RECIPROC ALL mode parameters were 186.34°±1.02 at 428.32 rpm ±7.61 and 65.07°±0.93 at 261.06 rpm ± 7.72; WAVEONE ALL-mode parameters were 191.39°±1.32 at 523.83 rpm ±14.36 and 70.13°±1.26 at 316.06 rpm ± 8.75. The variability of rotational speed during the cycle and distinct acceleration –deceleration patterns, was similar for both reciprocating modes. The computer-aided frame-to-frame analysis revealed that asymmetrical reciprocating motion has more complex kinematics demonstrating high peak rotational speed values and different patterns of acceleration and deceleration. While there was a difference in reciprocating cycle duration and rotational speed, both cycles demonstrated a similar dynamic of rotational speed during the cycle.

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来源期刊

Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.