Effect of digital noise reduction on the accuracy of endodontic file length determination

Mehdizadeh, Mehrzad; Khademi, Abbasali; Shokraneh, Ali; Farhadi, Nastaran

doi:10.5624/isd.2013.43.3.185

Cited by 10 publications

(4 citation statements)

References 39 publications

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“…In imaging exams, a high signal-to-noise ratio is fundamental for diagnostic tasks because it results in better image quality (Mehdizadeh et al, 2013). PSP presented higher noise in comparison to CMOS, regardless of the addition of lead foil.…”

Section: Discussionmentioning

confidence: 99%

Can the Incorporation of a Lead Foil on the Backside of Digital Receptors Produce a Better Endodontic Diagnosis?

Costa

Brasil

Gaêta‐Araujo

et al. 2021

Int. J. Odontostomat.

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This study evaluated influence of addition of lead foil coupled to different types of digital receptors on image noise and on diagnosis of fractured instruments in teeth without and with root filling.Twenty-six molars had their root canals (n=67) cleaned and shaped and were divided into groups with and without root filling and with and without fractured instruments. Images were acquired in PSP and CMOS sensor, with and without addition of a lead foil coupled to the digital receptors. Diagnostic values were obtained by the area under the ROC curve, and one-way ANOVA compared the groups. Noise in images was measured by the standard deviation of mean gray values in images with and without the lead foil, and compared by two-way ANOVA (a=0.05). Addition of lead foil did not interfere in the diagnostic accuracy for both digital systems (p>0.05) and did not decrease noise in the images (p>0.05). However, independently of the addition of the lead foil, the phosphor-storage plate presented higher noise compared to the sensor (p≤0.05). Addition of lead foil to the digital receptor did not interfere in image noise and with the diagnostic accuracy for detecting fracured endodontic instrument in ex-vivo conditions.

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Section: Discussionmentioning

confidence: 99%

Can the Incorporation of a Lead Foil on the Backside of Digital Receptors Produce a Better Endodontic Diagnosis?

Costa

Brasil

Gaêta‐Araujo

et al. 2021

Int. J. Odontostomat.

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“…The digital radiograph represents a great advance in oral maxillofacial radiology because it incorporates informatics technology in the capture, interpretation, and archiving of radiographic images. Importantly, it eliminates technical, chemical processing errors and obviates the need for the conventional film, thereby reducing the production of environmentally toxic residues [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

“…However, the results obtained in such applications depend on radiograph system quality and exposure time. The physical and clinical outcomes of various radiograph systems have been evaluated [7][8][9]11,13,[18][19][20] .…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Gray-Value Reproducibility and Noise of a Direct Digital Radiography System

et al. 2019

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A radiografia digital representa um grande avanço na radiologia bucomaxilofacial porque incorpora a tecnologia informática na captura, interpretação e arquivamento de imagens radiográficas. Estudos anteriores demonstraram que é possível usar os valores de cinza no diagnóstico e na proservação das lesões ósseas. No entanto, essas aplicações dependem da qualidade do sistema radiológico e do tempo de exposição. O objetivo deste estudo foi avaliar a reprodutibilidade do valor de cinza e o ruído produzido pelo sistema IDA da Dabi Atlante, um sistema de radiografia digital direto. As radiografias foram obtidas de maneira padronizada (70 kV, 7 mA e filtração de 2,2 mm) com um sensor digital direto e um penetrômetro colocados em um fantoma a uma distância de filme-foco de 30 cm. Dez imagens radiográficas consecutivas foram obtidas com tempos de exposição de 0,10-s, 0,15-s e 0,20-s. Os valores de cinza foram analisados em cinco regiões de interesse (ROIs): tecido ósseo (TO), tecido mole (TM) e três degraus do penetrômetro (Degrau 1, Degrau 2 e Degrau 3). Os valores de cinza médios diferiram significativamente entre os tempos de exposição (p <0,05) em todos as cinco ROIs. A ROI com maior variabilidade do valor de cinza (25,36%) e ruído (9,46%) foi TM. Em conclusão, a reprodutibilidade do valor de cinza e o ruído do sistema IDA variam entre áreas com radiolucência diferente. Assim, atenção especial é necessária para o diagnóstico e proservação de lesões radiolucentes devido à interferência dos valores cinza relativamente alta.Palavras-chave: Radiografia Dentária Digital. Reprodutibilidade dos Testes. Diagnóstico por Imagem. AbstractThe digital radiograph represents a great advance in oral maxillofacial radiology because it incorporates informatics technology in the capture, interpretation, and archiving of radiographic images. Previous studies have demonstrated that it is possible to use gray values in bone lesion diagnosis and follow-up. However, these applications depend on radiograph system quality and exposure time. The aim of this study was to evaluate the gray-value reproducibility and noise produced by Dabi Atlante’s IDA system, a direct digital radiography system. Radiographs were obtained in a standardized manner (70 kV, 7 mA, and 2.2-mm filtration) with a direct digital sensor and a stepwedge placed in a phantom at a 30-cm focus-film distance. Ten consecutive x-ray imaging series were completed at 0.10-s, 0.15-s, and 0.20-s exposure times. Gray values were analyzed in five regions of interest (ROIs): bone tissue (BT), soft tissue (ST), and three stepwedge steps (Step 1, Step 2, and Step 3). Mean gray values differed significantly across exposure times (p < .05) in all five ROIs. The ROI with the greatest gray-value variability (25.36%) and noise (9.46%) was ST. In conclusion, gray-value reproducibility and noise of the IDA system vary across areas with differing radiolucency. Thus, special attention is necessary for the diagnosis and follow-up of radiolucent lesions due to relatively high gray-value interference.Keywords: Radiography, Dental, Digital. Reproducibility of Results. Diagnostic Imaging.

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“…Subjective evaluation is defined as assessment by human based on their judgments [20]. It usually includes human visual interpretation and used statistical methods such as ANOVA and kappa statistics [15], [21][22]. Objective evaluation on the other hand used methods such as CII, SNR, RMSE and MSE as the means of measuring the image enhancement algorithms performance [23][24].…”

Section: Introductionmentioning

confidence: 99%

Subjective-Objective Matching Evaluation Approach for Enhanced Dental Images

Ahmad¹,

Khalid²,

Taib³

et al. 2018

IJEECS

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<p>Cases of misdiagnosis and variability evaluation among the dentists do happen. The complexity of anatomical structures and the low contrast of the original images are factors that contribute to the problems. Image enhancement is often used to enhance medical images. However, currently limited work has been done in enhancing the dental pathological features. Dentists come from different background in terms of experience, place of study, method of practices and emotional quotient. These are some of the factors that may cause differences in subjective evaluation among dentists. Therefore, this research focused on identifying objective measurements based on dentists’ subjective evaluation on abnormalities’ detection in jaw area. Objective measurement is based on contrast improvement index (CII) and subjective evaluation is derived from dentists’ questionnaire answering. This paper contributes to new knowledge in the initial phase of identifying dental disease characteristics by means of correlation between the subjective and objective evaluation.</p>

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Effect of digital noise reduction on the accuracy of endodontic file length determination

Cited by 10 publications

References 39 publications

Can the Incorporation of a Lead Foil on the Backside of Digital Receptors Produce a Better Endodontic Diagnosis?

Can the Incorporation of a Lead Foil on the Backside of Digital Receptors Produce a Better Endodontic Diagnosis?

Analysis of the Gray-Value Reproducibility and Noise of a Direct Digital Radiography System

Subjective-Objective Matching Evaluation Approach for Enhanced Dental Images

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