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Journal articles on the topic 'Adaptive imaging system'

Author: Grafiati

Published: 25 January 2025

Last updated: 31 July 2025

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1

Rigby, Kenneth Wayne. "Adaptive ultrasound imaging system." Journal of the Acoustical Society of America 121, no. 5 (2007): 2495. http://dx.doi.org/10.1121/1.2739204.

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Larichev, A. V., P. V. Ivanov, N. G. Iroshnikov, V. I. Shmalgauzen, and L. J. Otten. "Adaptive system for eye-fundus imaging." Quantum Electronics 32, no. 10 (2002): 902–8. http://dx.doi.org/10.1070/qe2002v032n10abeh002314.

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3

Choi, Junoh. "Iris imaging system with adaptive optical elements." Journal of Electronic Imaging 21, no. 1 (2012): 013004. http://dx.doi.org/10.1117/1.jei.21.1.013004.

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4

Griffiths, J. A., M. G. Metaxas, S. Pani, et al. "Preliminary images from an adaptive imaging system." Physica Medica 24, no. 2 (2008): 117–21. http://dx.doi.org/10.1016/j.ejmp.2008.01.003.

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5

Kaltiokallio, Ossi, Riku Jantti, and Neal Patwari. "ARTI: An Adaptive Radio Tomographic Imaging System." IEEE Transactions on Vehicular Technology 66, no. 8 (2017): 7302–16. http://dx.doi.org/10.1109/tvt.2017.2664938.

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6

Simopoulos, Constantine, and Bhaskar Ramamurthy. "Ultrasound imaging system having motion adaptive gain." Journal of the Acoustical Society of America 128, no. 1 (2010): 517. http://dx.doi.org/10.1121/1.3472340.

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7

Gao Meijing, 高美静, 顾海华 Gu Haihua, 关丛荣 Guan Congrong, and 吴伟龙 Wu Weilong. "Adaptive Position Calibration for Thermal Microscopic Imaging System." Acta Optica Sinica 33, no. 1 (2013): 0111002. http://dx.doi.org/10.3788/aos201333.0111002.

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8

Wu Chuhan, 武楚晗, 张晓芳 Zhang Xiaofang, 陈蔚林 Chen Weilin, and 常军 Chang Jun. "Fundus Imaging System Based on Tomographic Adaptive Optics." Acta Optica Sinica 37, no. 4 (2017): 0411002. http://dx.doi.org/10.3788/aos201737.0411002.

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9

Smith, Stephen W., and Gregg E. Trahey. "High speed adaptive ultrasonic phased array imaging system." Journal of the Acoustical Society of America 87, no. 6 (1990): 2806. http://dx.doi.org/10.1121/1.398978.

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10

Bille, Josef F., Mikael Agopov, Cristina Alvarez-diez, et al. "Compact adaptive optics system for multiphoton fundus imaging." Journal of Modern Optics 55, no. 4-5 (2008): 749–58. http://dx.doi.org/10.1080/09500340701608024.

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11

Song, Min-Ho, Ji-Seong Jeong, Munkh-Uchral Erdenebat, Ki-Chul Kwon, Nam Kim, and Kwan-Hee Yoo. "Integral imaging system using an adaptive lens array." Applied Optics 55, no. 23 (2016): 6399. http://dx.doi.org/10.1364/ao.55.006399.

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12

Shields, Eric, Wei Zhou, Yuyan Wang, and James Leger. "Microelectromechanical system-based adaptive space-variant imaging microspectrometer." Applied Optics 46, no. 31 (2007): 7631. http://dx.doi.org/10.1364/ao.46.007631.

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13

Bian, Zichao, Siyuan Dong, and Guoan Zheng. "Adaptive system correction for robust Fourier ptychographic imaging." Optics Express 21, no. 26 (2013): 32400. http://dx.doi.org/10.1364/oe.21.032400.

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14

Liu, Changgeng, and Myung K. Kim. "Digital adaptive optics line-scanning confocal imaging system." Journal of Biomedical Optics 20, no. 11 (2015): 111203. http://dx.doi.org/10.1117/1.jbo.20.11.111203.

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15

Liu, Changgeng, Xiao Yu, and Myung K. Kim. "Fourier transform digital holographic adaptive optics imaging system." Applied Optics 51, no. 35 (2012): 8449. http://dx.doi.org/10.1364/ao.51.008449.

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16

Oliver, J. A., O. A. Zeidan, S. Meeks, et al. "A Novel Imaging System for Adaptive Proton Therapy." International Journal of Radiation Oncology*Biology*Physics 99, no. 2 (2017): E707—E708. http://dx.doi.org/10.1016/j.ijrobp.2017.06.2304.

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17

Tarlanov, A. T., and Z. M. Kurbanismailov. "Adaptive imaging system for electromagnetic scattering field of aircraft." IOP Conference Series: Materials Science and Engineering 1027 (January 12, 2021): 012027. http://dx.doi.org/10.1088/1757-899x/1027/1/012027.

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18

Tao, Xiaodong, Deokhwa Hong, and Hyungsuck Cho. "An adaptive depth of field imaging system for micromanipulation." IFAC Proceedings Volumes 41, no. 2 (2008): 14743–48. http://dx.doi.org/10.3182/20080706-5-kr-1001.02496.

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19

Li, Hongliang, Ke Lu, Jian Xue, Feng Dai, and Yongdong Zhang. "Dual Optical Path Based Adaptive Compressive Sensing Imaging System." Sensors 21, no. 18 (2021): 6200. http://dx.doi.org/10.3390/s21186200.

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Compressive Sensing (CS) has proved to be an effective theory in the field of image acquisition. However, in order to distinguish the difference between the measurement matrices, the CS imaging system needs to have a higher signal sampling accuracy. At the same time, affected by the noise of the light path and the circuit, the measurements finally obtained are noisy, which directly affects the imaging quality. We propose a dual-optical imaging system that uses the bidirectional reflection characteristics of digital micromirror devices (DMD) to simultaneously acquire CS measurements and images

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20

Zhang, Jie, Qiang Yang, Kenichi Saito, Koji Nozato, David R. Williams, and Ethan A. Rossi. "An adaptive optics imaging system designed for clinical use." Biomedical Optics Express 6, no. 6 (2015): 2120. http://dx.doi.org/10.1364/boe.6.002120.

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21

Meadway, Alexander, Christopher A. Girkin, and Yuhua Zhang. "A dual-modal retinal imaging system with adaptive optics." Optics Express 21, no. 24 (2013): 29792. http://dx.doi.org/10.1364/oe.21.029792.

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22

Ustuner, Kutay, and Anming He. "Ultrasonic imaging system and method with SNR adaptive processing." Journal of the Acoustical Society of America 113, no. 2 (2003): 696. http://dx.doi.org/10.1121/1.1560306.

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23

Niu, Saisai, Jianxin Shen, Chun Liang, Yunhai Zhang, and Bangming Li. "High-resolution retinal imaging with micro adaptive optics system." Applied Optics 50, no. 22 (2011): 4365. http://dx.doi.org/10.1364/ao.50.004365.

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24

Rozler, Mike, and Wei Chang. "Collimator Interchange System for Adaptive Cardiac Imaging in C-SPECT." IEEE Transactions on Nuclear Science 58, no. 5 (2011): 2226–33. http://dx.doi.org/10.1109/tns.2011.2163190.

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Compared to imaging the heart with conventional cameras, dedicated cardiac SPECT systems can achieve much higher performance through use of a small field of view. To realize this potential, however, the heart must be reliably placed in the appropriate small FOV prior to imaging, thus requiring a separate scout operation to locate the heart and estimate its size. Furthermore, to achieve high performance across the general population, a system should provide several imaging configurations optimized for different size and location of the heart and the size of the patient. Because of the critical

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25

Al-Nabulsi, Jamal I., and Bashar E. A. Badr. "Adaptive gender-based thermal control system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1200. http://dx.doi.org/10.11591/ijece.v11i2.pp1200-1207.

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A closed loop adaptive gender-based thermal control system (AG-TCS) is designed, modelled, analysed and tested. The system has the unique feature of adapting to the surrounding environment as a function of the number of humans present and the gender ratio. The operation of the system depends on a unique interface between a radio frequency identification (RFID) device and an imaging device, both of which are correlated and interfaced to a controller. Testing of the system resulted in smooth transition and shape conversion of the response curve, which proved its adaptability. Three mathematical

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26

Jamal, I. Al-Nabulsi, and E. A. Badr Bashar. "Adaptive gender-based thermal control system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1200–1207. https://doi.org/10.11591/ijece.v11i2.pp1200-1207.

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A closed loop adaptive gender-based thermal control system (AG-TCS) is designed, modelled, analysed and tested. The system has the unique feature of adapting to the surrounding environment as a function of the number of humans present and the gender ratio. The operation of the system depends on a unique interface between a radio frequency identification (RFID) device and an imaging device, both of which are correlated and interfaced to a controller. Testing of the system resulted in smooth transition and shape conversion of the response curve, which proved its adaptability. Three mathematical

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27

Liu Ying, 刘颖, 杨亚良 Yang Yaliang, and 岳献 Yue Xian. "Laser Exposure Safety Analysis for Adaptive Optics Retinal Imaging System." Acta Optica Sinica 40, no. 10 (2020): 1014003. http://dx.doi.org/10.3788/aos202040.1014003.

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28

Shen Mande, 沈满德. "High-resolution midwave infrared temperature-adaptive night-vision imaging system." High Power Laser and Particle Beams 25, no. 5 (2013): 1144–46. http://dx.doi.org/10.3788/hplpb20132505.1144.

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29

Hong, Deokhwa, Ferrokh Janabi-Sharifi, and Hyungsuck Cho. "An Adaptive Depth of Field Imaging System for Visual Servoing." IFAC Proceedings Volumes 41, no. 2 (2008): 5405–10. http://dx.doi.org/10.3182/20080706-5-kr-1001.00911.

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30

Wu Tong, Ji Xiao-Ling, and Luo Yu-Juan. "Characteristic parameters of adaptive optical imaging system in oceanic turbulence." Acta Physica Sinica 67, no. 5 (2018): 054206. http://dx.doi.org/10.7498/aps.67.20171851.

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31

ZHENG Xian-liang, 郑贤良, 刘瑞雪 LIU Rui-xue, 夏明亮 XIA Ming-liang, 曹召良 CAO Zhao-liang, and 宣丽 XUAN Li. "Retinal correction imaging system based on liquid crystal adaptive optics." Chinese Journal of Optics and Applied Optics 7, no. 1 (2014): 98–104. http://dx.doi.org/10.3788/co.20140701.0098.

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32

Baba, Naoshi, Susumu Kuwamura, Noriaki Miura, and Yuji Norimoto. "Toward high-resolution imaging with a simple adaptive-optics system." Optics Letters 21, no. 9 (1996): 626. http://dx.doi.org/10.1364/ol.21.000626.

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33

Kardjilov, N., M. Dawson, A. Hilger, et al. "A highly adaptive detector system for high resolution neutron imaging." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 651, no. 1 (2011): 95–99. http://dx.doi.org/10.1016/j.nima.2011.02.084.

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34

Jiang, Pengzhi, Yonghui Liang, Jieping Xu, and Hongjun Mao. "A new performance metric on sensorless adaptive optics imaging system." Optik 127, no. 1 (2016): 222–26. http://dx.doi.org/10.1016/j.ijleo.2015.10.051.

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35

Chauvin, G., A. M. Lagrange, H. Beust, et al. "VLT/NACO adaptive optics imaging of the TY CrA system." Astronomy & Astrophysics 406, no. 3 (2003): L51—L54. http://dx.doi.org/10.1051/0004-6361:20030554.

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36

Liu, D.-L. Donald. "Time-delay compensation system and methods for adaptive ultrasound imaging." Journal of the Acoustical Society of America 112, no. 4 (2002): 1248. http://dx.doi.org/10.1121/1.1520984.

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37

Sim, K. S., V. Teh, and M. E. Nia. "Adaptive noise Wiener filter for scanning electron microscope imaging system." Scanning 38, no. 2 (2015): 148–63. http://dx.doi.org/10.1002/sca.21250.

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38

Mykhailo, IVANIUTA, prof. Volodymyr KRAVCHUK Dr, and RAMUS Mykhailo. "Forecast for the Adaptive Tillage System." INTERNATIONAL JOURNAL OF LIFE SCIENCE AND AGRICULTURE RESEARCH 02, no. 07 (2023): 193–99. https://doi.org/10.55677/ijlsar/V02I07Y2023-06.

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ABSTRACT Precision tillage has great potential. The result of tillage operations can be improved depending on the optimal solution of construction working bodies and technological parameters of cultivating, which, in addition, can be adapted to the tillage technology depending on the local agro-climatic conditions. The article presents the results of the synthesis of the system of adaptive control of soil cultivation by creating a complex technological system with modeling of the structural-matrix schemes and on-stream technological influences of working bodies of machines and external agro-cl

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39

Bai, Er-Wei, James R. Bennett, Robert McCabe, et al. "Study of an adaptive bolus chasing CT angiography." Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 14, no. 1 (2006): 27–38. http://dx.doi.org/10.3233/xst-2006-00147.

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To improve imaging quality and to reduce contrast dose and radiation exposure, an adaptive bolus chasing CT angiography was proposed so that the bolus peak position and the imaging aperture can be synchronized. The performance of the proposed adaptive bolus chasing CT angiography was experimentally evaluated based on the actual bolus dynamics. The experimental results show that the controlled table position and the bolus peak position were highly consistent. The results clearly demonstrate that the proposed adaptive bolus chasing CT angiography that synchronizes the bolus peak position with th

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40

Hutchings, J. B. "CFHT Adaptive Optics Imaging of Active Galaxies." Symposium - International Astronomical Union 186 (1999): 345–47. http://dx.doi.org/10.1017/s007418090011294x.

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The CFHT adaptive optics camera uses a visible light guide signal from a star to operate a bimorph mirror. The system is a unit that is operated by the observer and can be used with CCD or HgCdTe detectors. Pixel sizes are of order 0.04″. The amount of correction varies as the guide star brightness, the angular distance from it, and the natural seeing at the time. With good CFHT conditions, a guide star of 13 mag will give JHK images of FWHM near to the diffraction limit (0.1 to 0.15″) up to 20″ away. Correction is worse in the optical, but images of 0.2″ or better can be obtained in R and I-b

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41

Xing, Qiang, Xueqin Zhao, Kun Song, et al. "Rotary Panoramic and Full-Depth-of-Field Imaging System for Pipeline Inspection." Sensors 25, no. 9 (2025): 2860. https://doi.org/10.3390/s25092860.

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To address the adaptability and insufficient imaging quality of conventional in-pipe imaging techniques for irregular pipelines or unstructured scenes, this study proposes a novel radial rotating full-depth-of-field focusing imaging system designed to adapt to the structural complexities of irregular pipelines, which can effectively acquire tiny details with a depth of 300–960 mm inside the pipeline. Firstly, a fast full-depth-of-field imaging method driven by depth features is proposed. Secondly, a full-depth rotating imaging apparatus is developed, incorporating a zoom camera, a miniature se

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42

Wang, Zijiao, Yufeng Gao, Xiusheng Duan, and Jingya Cao. "Adaptive High-Resolution Imaging Method Based on Compressive Sensing." Sensors 22, no. 22 (2022): 8848. http://dx.doi.org/10.3390/s22228848.

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Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-detection imaging system is established for high-pixel detection. Each detector of the detector array is coupled with a bundle of fibers formed by fusion of four bundles of fibers of different lengths, so that the target area corresponding to one detector is split into four groups of target informat

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43

Brigantic, Robert T., Michael C. Roggemann, Byron M. Welsh, and Kenneth W. Bauer. "Optimization of adaptive-optics systems closed-loop bandwidth settings to maximize imaging-system performance." Applied Optics 37, no. 5 (1998): 848. http://dx.doi.org/10.1364/ao.37.000848.

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44

Zhou Hong, 周虹, 官春林 Guan Chunlin, and 戴云 Dai Yun. "Bimorph Deformable Mirrors for Adaptive Optics of Human Retinal Imaging System." Acta Optica Sinica 33, no. 2 (2013): 0211001. http://dx.doi.org/10.3788/aos201333.0211001.

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45

Shun Li, 李顺, 王地 Di Wang, and 陆彦婷 Yanting Lu. "Method for Improving Imaging Resolution of Digital Holographic Adaptive Optical System." Chinese Journal of Lasers 46, no. 7 (2019): 0709001. http://dx.doi.org/10.3788/cjl201946.0709001.

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46

Bedggood, Phillip, and Andrew Metha. "System design considerations to improve isoplanatism for adaptive optics retinal imaging." Journal of the Optical Society of America A 27, no. 11 (2010): A37. http://dx.doi.org/10.1364/josaa.27.000a37.

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47

Zhang, Jie, Qiang Yang, Kenichi Saito, et al. "An adaptive optics imaging system designed for clinical use: publisher’s note." Biomedical Optics Express 6, no. 8 (2015): 2864. http://dx.doi.org/10.1364/boe.6.002864.

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48

Gao, Bin, Peng Lu, Wai Lok Woo, Gui Yun Tian, Yuyu Zhu, and Martin Johnston. "Variational Bayesian Subgroup Adaptive Sparse Component Extraction for Diagnostic Imaging System." IEEE Transactions on Industrial Electronics 65, no. 10 (2018): 8142–52. http://dx.doi.org/10.1109/tie.2018.2801809.

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49

Zhou, Jian, and Jinyi Qi. "Adaptive Imaging for Lesion Detection Using a Zoom-in PET System." IEEE Transactions on Medical Imaging 30, no. 1 (2011): 119–30. http://dx.doi.org/10.1109/tmi.2010.2064173.

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50

Pye, S. D., S. R. Wild, and W. N. McDicken. "Clinical trial of a new adaptive TGC system for ultrasound imaging." British Journal of Radiology 61, no. 726 (1988): 523–26. http://dx.doi.org/10.1259/0007-1285-61-726-523.

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