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Journal articles on the topic 'Time of flight imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Heide, Felix, Wolfgang Heidrich, Matthias Hullin, and Gordon Wetzstein. "Doppler time-of-flight imaging." ACM Transactions on Graphics 34, no. 4 (July 27, 2015): 1–11. http://dx.doi.org/10.1145/2766953.

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2

Achar, Supreeth, Joseph R. Bartels, William L. 'Red' Whittaker, Kiriakos N. Kutulakos, and Srinivasa G. Narasimhan. "Epipolar time-of-flight imaging." ACM Transactions on Graphics 36, no. 4 (July 20, 2017): 1–8. http://dx.doi.org/10.1145/3072959.3073686.

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3

Hebden, Jeremy C., and Robert A. Kruger. "Transillumination imaging performance: A time-of-flight imaging system." Medical Physics 17, no. 3 (May 1990): 351–56. http://dx.doi.org/10.1118/1.596514.

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4

Giacomantone, Javier, María Lucía Violini, and Luciano Lorenti. "Background Subtraction for Time of Flight Imaging." Journal of Computer Science and Technology 17, no. 02 (October 1, 2017): e18. http://dx.doi.org/10.24215/16666038.17.e18.

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A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed. The background model is based on unbalanced or semi-supervised classifiers, in particular support vector machines. A brief review of one class support vector machines is first given. A method that combines the range and intensity data in two operational modes is then provided. Finally, experimental results are presented and discussed.

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5

Surti, S. "Update on Time-of-Flight PET Imaging." Journal of Nuclear Medicine 56, no. 1 (December 18, 2014): 98–105. http://dx.doi.org/10.2967/jnumed.114.145029.

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6

Halimeh, Jad C., and Martin Wegener. "Time-of-flight imaging of invisibility cloaks." Optics Express 20, no. 1 (December 19, 2011): 63. http://dx.doi.org/10.1364/oe.20.000063.

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7

Hahne, Uwe, and Marc Alexa. "Exposure Fusion for Time-Of-Flight Imaging." Computer Graphics Forum 30, no. 7 (September 2011): 1887–94. http://dx.doi.org/10.1111/j.1467-8659.2011.02041.x.

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8

Kadambi, Achuta, Hang Zhao, Boxin Shi, and Ramesh Raskar. "Occluded Imaging with Time-of-Flight Sensors." ACM Transactions on Graphics 35, no. 2 (May 25, 2016): 1–12. http://dx.doi.org/10.1145/2836164.

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9

Lewellen, Tom K. "Time-of-flight PET." Seminars in Nuclear Medicine 28, no. 3 (July 1998): 268–75. http://dx.doi.org/10.1016/s0001-2998(98)80031-7.

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10

Anderson, Charles M., and Ralph E. Lee. "TIME-OF-FLIGHT TECHNIQUES." Magnetic Resonance Imaging Clinics of North America 1, no. 2 (December 1993): 217–27. http://dx.doi.org/10.1016/s1064-9689(21)00303-2.

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11

Vallance, Claire, Mark Brouard, Alexandra Lauer, Craig S. Slater, Edward Halford, Benjamin Winter, Simon J. King, et al. "Fast sensors for time-of-flight imaging applications." Phys. Chem. Chem. Phys. 16, no. 2 (2014): 383–95. http://dx.doi.org/10.1039/c3cp53183j.

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12

Gutmann, M. J., W. Kockelmann, L. C. Chapon, and P. G. Radaelli. "Phase imaging using time-of-flight neutron diffraction." Journal of Applied Crystallography 39, no. 1 (January 12, 2006): 82–89. http://dx.doi.org/10.1107/s0021889805041580.

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A technique that allows the spatial distribution of crystallographic phases in the interior of an object to be reconstructed from neutron time-of-flight (TOF) diffraction is described. To this end, the shift of the Bragg peaks due to the so-called `geometrical aberration' is exploited. A collimated incident white beam is used to perform a translational or rotational scan of the object whilst collecting a TOF data set for each sample position or orientation. Depending on the location of any scattering material along the line of the incident beam path through the object, the measuredd-spacings of the corresponding Bragg peaks are shifted with respect to their nominal values, which are attained only at the geometrical centre of the instrument. Using a formula that is usually employed to correct for sample offset, the phase distribution along the incident beamline can be directly reconstructed, without the need to perform a tomographic reconstruction. Results are shown from a demonstration experiment carried out on a cylindrical Al container enclosing an arrangement of Cu and Fe rods. On the basis of this formalism, an optimized experimental geometry is described and the potential and limits of this technique are explored, as are its applicability to X-ray and constant-wavelength neutron diffraction.

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13

Powell, M. D. "Multiphoton, time-of-flight three-dimensional radionuclide imaging." Medical Physics 16, no. 5 (September 1989): 809–12. http://dx.doi.org/10.1118/1.596340.

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14

Streeter, Lee, and Ye Chow Kuang. "Metrological aspects of time-of-flight range imaging." IEEE Instrumentation & Measurement Magazine 22, no. 2 (April 2019): 21–26. http://dx.doi.org/10.1109/mim.2019.8674630.

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15

Zhang, Lei, Feng Shi, Yan Zou, Tian-Yi Mao, Wei-Ji He, Guo-Hua Gu, and Qian Chen. "Time-of-flight range imaging using group testing." Optik 130 (February 2017): 730–36. http://dx.doi.org/10.1016/j.ijleo.2016.10.137.

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16

Kijima, Daiki, Takahiro Kushida, Hiromu Kitajima, Kenichiro Tanaka, Hiroyuki Kubo, Takuya Funatomi, and Yasuhiro Mukaigawa. "Time-of-flight imaging in fog using multiple time-gated exposures." Optics Express 29, no. 5 (February 16, 2021): 6453. http://dx.doi.org/10.1364/oe.416365.

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17

Kim, Donghyun, Young Jin Heo, Hae Woong Jeong, Jin Wook Baek, Gi Won Shin, Sung-Chul Jin, Hye Jin Baek, Kyeong Hwa Ryu, Kang Soo Kim, and InSeong Kim. "Compressed sensing time-of-flight magnetic resonance angiography with high spatial resolution for evaluating intracranial aneurysms: comparison with digital subtraction angiography." Neuroradiology Journal 34, no. 3 (January 18, 2021): 213–21. http://dx.doi.org/10.1177/1971400920988099.

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Background and purpose Compressed sensing is used for accelerated acquisitions with incoherently under-sampled k-space data, and intracranial time-of-flight magnetic resonance angiography is suitable for compressed sensing. Compressed sensing time-of-flight is beneficial in decreasing acquisition time and increasing spatial resolution while maintaining acquisition time. In this retrospective study, we aimed to evaluate the image quality and diagnostic performance of compressed sensing time-of-flight with high spatial resolution and compare with parallel imaging time-of-flight using digital subtraction angiography as a reference. Material and methods In total, 39 patients with 46 intracranial aneurysms underwent parallel imaging and compressed sensing time-of-flight in the same imaging session and digital subtraction angiography before or after magnetic resonance angiography. The overall image quality, artefacts and diagnostic confidence were assessed by two observers. The contrast ratio, maximal aneurysm diameters and diagnostic performance were evaluated. Results Compressed sensing time-of-flight showed significantly better overall image quality, degree of artefacts and diagnostic confidence in both observers, with better inter-observer agreement. The contrast ratio was significantly higher for compressed sensing time-of-flight than for parallel imaging time-of-flight in both observers (source images, P < 0.001; maximum intensity projection images, P < 0.05 for both observers); however, the measured maximal diameters of aneurysms were not significantly different. Compressed sensing time-of-flight showed higher sensitivity, specificity, accuracy and positive and negative predictive values for detecting aneurysms than parallel imaging time-of-flight in both observers, with better inter-observer agreement. Compressed sensing time-of-flight was preferred over parallel imaging time-of-flight by both observers; however, parallel imaging time-of-flight was preferred in cases of giant and large aneurysms. Conclusions Compressed sensing-time-of-flight provides better image quality and diagnostic performance than parallel imaging time-of-flight. However, neuroradiologists should be aware of under-sampling artefacts caused by compressed sensing.

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18

Karpenko, Mark, Sagar Bhatt, Nazareth Bedrossian, and I. Michael Ross. "Flight Implementation of Shortest-Time Maneuvers for Imaging Satellites." Journal of Guidance, Control, and Dynamics 37, no. 4 (July 2014): 1069–79. http://dx.doi.org/10.2514/1.62867.

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19

AOKI, Jun, and Michisato TOYODA. "Development of Stigmatic Time-of-Flight Imaging Mass Spectrometer." Journal of the Mass Spectrometry Society of Japan 61, no. 3 (2013): 23–33. http://dx.doi.org/10.5702/massspec.12-48.

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20

Yoon, Oh Kyu, Matthew D. Robbins, Ignacio A. Zuleta, Griffin K. Barbula, and Richard N. Zare. "Continuous Time-of-Flight Ion Imaging: Application to Fragmentation." Analytical Chemistry 80, no. 21 (November 2008): 8299–307. http://dx.doi.org/10.1021/ac801512n.

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21

Attavar, Sachin, David A. Cole, Arwa Ginwalla, and Jim Gibson. "Time Of Flight Secondary Ion Mass spectrometry: Chemical Imaging." Microscopy and Microanalysis 22, S3 (July 2016): 1076–77. http://dx.doi.org/10.1017/s143192761600622x.

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22

Gutmann, Matthias, Winfried Kockelmann, Laurent Chapon, and Paolo G. Radaelli. "Imaging crystallographic phases using time-of-flight neutron diffraction." Physica B: Condensed Matter 385-386 (November 2006): 1203–5. http://dx.doi.org/10.1016/j.physb.2006.05.409.

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23

Atalar, Okan, Raphaël Van Laer, Christopher J. Sarabalis, Amir H. Safavi-Naeini, and Amin Arbabian. "Time-of-flight imaging based on resonant photoelastic modulation." Applied Optics 58, no. 9 (March 15, 2019): 2235. http://dx.doi.org/10.1364/ao.58.002235.

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24

Li, Fengqiang, Huaijin Chen, Adithya Pediredla, Chiakai Yeh, Kuan He, Ashok Veeraraghavan, and Oliver Cossairt. "CS-ToF: High-resolution compressive time-of-flight imaging." Optics Express 25, no. 25 (November 29, 2017): 31096. http://dx.doi.org/10.1364/oe.25.031096.

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25

Lecoq, P. "Pushing the Limits in Time-of-Flight PET Imaging." IEEE Transactions on Radiation and Plasma Medical Sciences 1, no. 6 (November 2017): 473–85. http://dx.doi.org/10.1109/trpms.2017.2756674.

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26

Callenberg, Clara, Felix Heide, Gordon Wetzstein, and Matthias B. Hullin. "Snapshot difference imaging using correlation time-of-flight sensors." ACM Transactions on Graphics 36, no. 6 (November 20, 2017): 1–11. http://dx.doi.org/10.1145/3130800.3130885.

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27

Young-Fo Chang and Cheng-I Hsieh. "Time of flight diffraction imaging for double-probe technique." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 49, no. 6 (June 2002): 776–83. http://dx.doi.org/10.1109/tuffc.2002.1009335.

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28

Gelb, Lev D., Tammy M. Millilo, and Amy V. Walker. "Optimized analysis of imaging time-of-flight SIMS data." Surface and Interface Analysis 45, no. 1 (June 20, 2012): 479–82. http://dx.doi.org/10.1002/sia.5059.

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29

Wehrli, Felix W. "Time-of-flight effects in MR imaging of flow." Magnetic Resonance in Medicine 14, no. 2 (May 1990): 187–93. http://dx.doi.org/10.1002/mrm.1910140205.

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30

Shrestha, Shikhar, Felix Heide, Wolfgang Heidrich, and Gordon Wetzstein. "Computational imaging with multi-camera time-of-flight systems." ACM Transactions on Graphics 35, no. 4 (July 11, 2016): 1–11. http://dx.doi.org/10.1145/2897824.2925928.

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31

Brouard, M., E. K. Campbell, A. J. Johnsen, C. Vallance, W. H. Yuen, and A. Nomerotski. "Velocity map imaging in time of flight mass spectrometry." Review of Scientific Instruments 79, no. 12 (December 2008): 123115. http://dx.doi.org/10.1063/1.3036978.

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32

Griffiths, Alexander D., Haochang Chen, David Day-Uei Li, Robert K. Henderson, Johannes Herrnsdorf, Martin D. Dawson, and Michael J. Strain. "Multispectral time-of-flight imaging using light-emitting diodes." Optics Express 27, no. 24 (November 19, 2019): 35485. http://dx.doi.org/10.1364/oe.27.035485.

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33

Wu, Di, Andreas Velten, Matthew O’Toole, Belen Masia, Amit Agrawal, Qionghai Dai, and Ramesh Raskar. "Decomposing Global Light Transport Using Time of Flight Imaging." International Journal of Computer Vision 107, no. 2 (October 31, 2013): 123–38. http://dx.doi.org/10.1007/s11263-013-0668-2.

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34

Choi, Joonsung, Hyunseok Seo, Yongwan Lim, Yeji Han, and HyunWook Park. "Sliding time of flight: Sliding time of flight MR angiography using a dynamic image reconstruction method." Magnetic Resonance in Medicine 73, no. 3 (April 10, 2014): 1177–83. http://dx.doi.org/10.1002/mrm.25215.

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35

AOYAGI, Satoka. "Time-of-Flight Secondary Ion Mass Spectrometry Imaging of Biodevices." Journal of the Mass Spectrometry Society of Japan 55, no. 1 (2007): 33–38. http://dx.doi.org/10.5702/massspec.55.33.

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36

Min, Chang-Ki, Jeong Won Kim, and Yongsup Park. "Femtosecond spectroscopic imaging by time-of-flight photoemission electron microscopy." Surface Science 601, no. 20 (October 2007): 4722–26. http://dx.doi.org/10.1016/j.susc.2007.05.045.

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37

Kluge, A., G. Aglieri Rinella, M. Fiorini, P. Jarron, J. Kaplon, M. E. Martin Albarran, M. Morel, M. Noy, L. Perktold, and K. Poltorak. "174 A 200 TIME-OF-FLIGHT PIXEL IMAGING ASIC, TDCPIX." Radiotherapy and Oncology 102 (March 2012): S82. http://dx.doi.org/10.1016/s0167-8140(12)70145-7.

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38

Kinugawa, Tohru. "Development of time-of-flight mass spectrometer using imaging technique." Journal of the Spectroscopical Society of Japan 39, no. 5 (1990): 289–90. http://dx.doi.org/10.5111/bunkou.39.289.

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39

Yu, Xiao-Ying, Rachel Komorek, Zihua Zhu, and Christer Jansson. "Imaging Plant Using Time-of-Flight Secondary Ion Mass Spectrometry." Microscopy and Microanalysis 24, S1 (August 2018): 1332–33. http://dx.doi.org/10.1017/s1431927618007146.

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40

Whyte, Refael, Lee Streeter, Michael J. Cree, and Adrian A. Dorrington. "Application of lidar techniques to time-of-flight range imaging." Applied Optics 54, no. 33 (November 11, 2015): 9654. http://dx.doi.org/10.1364/ao.54.009654.

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41

Hoshi, T., and M. Kudo. "High resolution static SIMS imaging by time of flight SIMS." Applied Surface Science 203-204 (January 2003): 818–24. http://dx.doi.org/10.1016/s0169-4332(02)00834-6.

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42

Schueler, Bruno W. "Microscope imaging by time-of-flight secondary ion mass spectrometry." Microscopy Microanalysis Microstructures 3, no. 2-3 (1992): 119–39. http://dx.doi.org/10.1051/mmm:0199200302-3011900.

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43

Benaron, D., and D. Stevenson. "Optical time-of-flight and absorbance imaging of biologic media." Science 259, no. 5100 (March 5, 1993): 1463–66. http://dx.doi.org/10.1126/science.8451643.

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44

Satoh, N., K. Shimizu, H. Uchida, T. Yamashita, and E. Tanaka. "A time-of-flight multi-probe system for positron imaging." IEEE Transactions on Nuclear Science 43, no. 3 (June 1996): 1921–25. http://dx.doi.org/10.1109/23.507247.

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45

Gupta, Mohit, Andreas Velten, Shree K. Nayar, and Eric Breitbach. "What Are Optimal Coding Functions for Time-of-Flight Imaging?" ACM Transactions on Graphics 37, no. 2 (July 3, 2018): 1–18. http://dx.doi.org/10.1145/3152155.

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46

Streeter, Lee, and Adrian A. Dorrington. "Simple harmonic error cancellation in time of flight range imaging." Optics Letters 40, no. 22 (November 12, 2015): 5391. http://dx.doi.org/10.1364/ol.40.005391.

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47

Fuhrmanek, A., A. M. Lance, C. Tuchendler, P. Grangier, Y. R. P. Sortais, and A. Browaeys. "Imaging a single atom in a time-of-flight experiment." New Journal of Physics 12, no. 5 (May 18, 2010): 053028. http://dx.doi.org/10.1088/1367-2630/12/5/053028.

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48

Lee, Seungkyu, and Hyunjung Shim. "Skewed stereo time-of-flight camera for translucent object imaging." Image and Vision Computing 43 (November 2015): 27–38. http://dx.doi.org/10.1016/j.imavis.2015.08.001.

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49

Li Chenyu, 李晨毓, 张宏飞 Zhang Hongfei, 曲亮 Qu Liang, 雷勇 Lei Yong, and 张存林 Zhang Cunlin. "Application of Terahertz Time-of-Flight Imaging to Lacquer Box." Laser & Optoelectronics Progress 58, no. 6 (2021): 0604001. http://dx.doi.org/10.3788/lop202158.0604001.

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50

Laub, Gerhard A. "TIME-OF-FLIGHT METHOD OF MR ANGIOGRAPHY." Magnetic Resonance Imaging Clinics of North America 3, no. 3 (August 1995): 391–98. http://dx.doi.org/10.1016/s1064-9689(21)00251-8.

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