The effect of calibration and detector temperature on the reconstructed cone beam computed tomography image quality: a study for the workflow of the iCAT Classic equipment

Plachtovics, Mark; Goczan, Janos; Nagy, Katalin

doi:10.1016/j.oooo.2014.12.009

Cited by 4 publications

(32 citation statements)

References 19 publications

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“…Where current intensity is concerned, the CBCT values range between 10-40 mA. In contrast, conventional CT imaging in the head and neck region may use as high a value as 120 mA [13,14].For example, iCAT Classic equipment may be operated at values summarized in the following table (Table II) [52,53,72].Of course, some of these machines operate in pulsed mode while others work in continuous mode [16,17,36,38,41,[52][53][54][55][56][57]. In view of this, it may be noted that the iCAT Classic equipment, which operates in pulsed mode, results in an exposure time of only 3.5 seconds during a 20-second long scan [15,52].…”

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confidence: 99%

“…In view of this, it may be noted that the iCAT Classic equipment, which operates in pulsed mode, results in an exposure time of only 3.5 seconds during a 20-second long scan [15,52]. During this time the total radiation depends on the kV and mA values used [52,53,72], as specified in Table II. Concerning the differences of resolution between conventional CT and dental CBCT, the dental CBCT has a better geometrical resolution than that of the conventional CT [15,46,49,50,67,71].…”

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confidence: 99%

“…(compared to the definition given in Table II). Note that in Figure 22 C the ring artefact is also seen (arrow) [10,13,14,16,17,29,30,62,72]. …”

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“…The detector system is analysed during the CP and suitable correction data is derived, which is used later in subsequent image acquisition to compensate known deviations from ideal detector behaviour (Figure 30). This modified data would serve as the database for the reconstructed volume of the image [16,17,72].The objective in the present in vitro study is to investigate the measured grey values and the spatial accuracy of a quality-assurance phantom on the reconstructed image, which is recommended by the manufacturer for quality assessment of the equipment [52]. Figure 31 shows the applied set-up of the quality-assurance phantom in the iCAT Classic dental CBCT equipment, as well as the separate phantom [52,53,72].…”

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confidence: 99%

“…This modified data would serve as the database for the reconstructed volume of the image [16,17,72].…”

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confidence: 99%

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Examination of Grey Value Accuracy and Improvement of Image Quality in Cone Beam Computed Tomography (CBCT)

Plachtovics

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The WARM operation mode represents that the CBCT machine was switched on for at least two hours before the scan but no detector calibration was performed. WARM+C WARM+C scan protocol is consistent with the cone beam computed tomography scan with the complete calibration sequence after the warming-up period. The two-hour warming-up period preceded the calibration process. WUP warming-up period 2D 2 dimensional 3D 3 dimensional iv Galen's principal interest was in human anatomy but, from about 150 BC [2], Roman law had prohibited the dissection of human cadavers. Because of this restriction, Galen performed anatomical dissections on living (vivisection) and dead animals, mostly focusing on pigs and primates [3]. This work was useful because the anatomical structures of these animals usually closely mirror those of humans. Galen clarified the anatomy of the trachea, and was the first to demonstrate that the larynx generates the voice [4,5]. In one experiment, Galen used bellows to inflate the lungs of a dead animal. In his work De motu musculorum, Galen explained the difference between motor and sensory nerves, discussed the concept of muscle tone, and explained the difference between agonists and antagonists [5,6].Andreas Vesalius ( This environment, which lasted from the second century (Galenius) to the sixteenth century (Vesalius), developed a strong desire to have the ability to see inside the human body [7]. Development of medical imagingDuring many centuries the only way to visualize the inside of the human body was through dissection. With technical development, scientists had started to investigate the inside of the human body without its opening. In 1881, Alexander Graham Bell attempted to use magnets and sound waves to discover the location of the bullet that eventually killed U.S.President James A. Garfield [8].After a lengthy period, during scientific experiments with various types of vacuum tube equipment, the discovery of X-rays in 1895, by the Bavarian physicist Conrad Röntgen, represented a major breakthrough (Figure 3 A). When X-rays were finally discovered, they found their way to medical applications within months [9]. B C A 3The original discovery by Röntgen, at the Physical Institute, Julius-Maximilian University, Würzburg, Germany, is recorded to be on 8 November 1895 [9][10][11][12][13][14][15][16][17]. During the discovery, he speculated that a new kind of ray might be responsible for the observation.Since 8 th November was a Friday, instead of relaxing over the weekend, Röntgen took advantage of the time to repeat his experiments. In the following weeks he investigated many properties of the new rays he had temporarily termed 'X-ray'. In fact, he virtually lived in his laboratory during that time. The new X-ray is called the 'Röntgen ray' in many languages [18]. Nearly two weeks after his discovery, he took the very first picture using X-rays of his wife Anna Bertha's hand. When she saw her skeleton she exclaimed 'I have seen my death!' (Figure 3 B and C) [10,18]. Röntgen receive the fir...

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confidence: 99%

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confidence: 99%

“…(compared to the definition given in Table II). Note that in Figure 22 C the ring artefact is also seen (arrow) [10,13,14,16,17,29,30,62,72]. …”

mentioning

confidence: 99%

mentioning

confidence: 99%

“…This modified data would serve as the database for the reconstructed volume of the image [16,17,72].…”

mentioning

confidence: 99%

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Examination of Grey Value Accuracy and Improvement of Image Quality in Cone Beam Computed Tomography (CBCT)

Plachtovics

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Quality assurance phantoms for cone beam computed tomography: a systematic literature review

Oliveira

Wenzel

Campos

et al. 2017

Dentomaxillofacial Radiology

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Evaluation of the effect of filters on reconstructed image quality from cone beam CT system

Bui¹,

Bui²,

Tran³

et al. 2021

Nucl. Sci. and Tech.

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: 3D Filtered Back Projection (FBP) is a three-dimensional reconstruction algorithm usually used in Cone Beam Computed Tomography (CBCT) system. FBP is one of the most popular algorithms due to its reconstruction is fast while quality of the result is acceptable. It can also handle a more considerable amount of data with same computer performance with other algorithms. However, the quality of a reconstructed image by the FBP algorithm strongly depends on spatial filters and denoising filters applied to projections. In this paper an evaluation of the reconstructed image quality of the CBCT system by using different denoising filters and spatial filters to find out the best filters for the CBCT system is performed. The result shows that, there is a significantly decrease of the noise of projection with the combination of Median and Gaussian filters. The reconstructed image has high resolution with Cosine filter and becomes more sharpen with Hanning filter.

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The effect of calibration and detector temperature on the reconstructed cone beam computed tomography image quality: a study for the workflow of the iCAT Classic equipment

Abstract: Although the WUP is important to reach the required steady-state temperature, the CP has a greater effect on the image quality.

Cited by 4 publications

References 19 publications

Examination of Grey Value Accuracy and Improvement of Image Quality in Cone Beam Computed Tomography (CBCT)

Examination of Grey Value Accuracy and Improvement of Image Quality in Cone Beam Computed Tomography (CBCT)

Quality assurance phantoms for cone beam computed tomography: a systematic literature review

Evaluation of the effect of filters on reconstructed image quality from cone beam CT system

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