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Evaluation of a Mathematical Model for Digital Image Enhancement.

Geha H, Nasseh I, Noujeim M - Open Dent J (2015)

Bottom Line: Results : There was no significant difference between the readers and between the first and second reading.The overall pattern was: "Poly" results in the highest counts, "Original" in the lowest counts, with "B/C" and "Equalized" intermediate.Conclusion : The 5th degree polynomial model showed more holes when compared to the other modalities.

View Article: PubMed Central - PubMed

Affiliation: The University of Texas Health Science Center, San Antonio, United States.

ABSTRACT

Objective: The purpose of this study is to compare the detected number of holes on a stepwedge on images resulting from the application of the 5th degree polynomial model compared to the images resulting from the application of linear enhancement. Material and Methods : A 10-step aluminum step wedge with holes randomly drilled on each step was exposed with three different kVp and five exposure times per kVp on a Schick33(®) sensor. The images were enhanced by brightness/contrast adjustment, histogram equalization and with the 5th degree polynomial model and compared to the original non-enhanced images by six observers in two separate readings. Results : There was no significant difference between the readers and between the first and second reading. There was a significant three-factor interaction among Method, Exposure time, and kVp in detecting holes. The overall pattern was: "Poly" results in the highest counts, "Original" in the lowest counts, with "B/C" and "Equalized" intermediate. Conclusion : The 5th degree polynomial model showed more holes when compared to the other modalities.

No MeSH data available.


Related in: MedlinePlus

Step-wedge with holes used in the study.
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Figure 1: Step-wedge with holes used in the study.

Mentions: The test object was a customized 10-step aluminum step wedge at 1.5 mm increment and with five holes randomly drilled on each step at a depth varying from 0.2 to 1 mm (Fig. 1). The digital receptor used was a Size 2 Schick33® (Sirona Dental Systems, Inc. Long Island City, NY, USA). The radiographs were exposed with the Planmeca Intra (Plane mcaOy, Helsinki, Finland)intraoral X-ray machine operating at 63, 66 and 70 kVp at 8 mA, with 5 exposure times per kVp: from 0.016s to 0.064s totaling 15 exposures. The distance between source and receptor was fixed at 12 inches (30 cm).


Evaluation of a Mathematical Model for Digital Image Enhancement.

Geha H, Nasseh I, Noujeim M - Open Dent J (2015)

Step-wedge with holes used in the study.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4598423&req=5

Figure 1: Step-wedge with holes used in the study.
Mentions: The test object was a customized 10-step aluminum step wedge at 1.5 mm increment and with five holes randomly drilled on each step at a depth varying from 0.2 to 1 mm (Fig. 1). The digital receptor used was a Size 2 Schick33® (Sirona Dental Systems, Inc. Long Island City, NY, USA). The radiographs were exposed with the Planmeca Intra (Plane mcaOy, Helsinki, Finland)intraoral X-ray machine operating at 63, 66 and 70 kVp at 8 mA, with 5 exposure times per kVp: from 0.016s to 0.064s totaling 15 exposures. The distance between source and receptor was fixed at 12 inches (30 cm).

Bottom Line: Results : There was no significant difference between the readers and between the first and second reading.The overall pattern was: "Poly" results in the highest counts, "Original" in the lowest counts, with "B/C" and "Equalized" intermediate.Conclusion : The 5th degree polynomial model showed more holes when compared to the other modalities.

View Article: PubMed Central - PubMed

Affiliation: The University of Texas Health Science Center, San Antonio, United States.

ABSTRACT

Objective: The purpose of this study is to compare the detected number of holes on a stepwedge on images resulting from the application of the 5th degree polynomial model compared to the images resulting from the application of linear enhancement. Material and Methods : A 10-step aluminum step wedge with holes randomly drilled on each step was exposed with three different kVp and five exposure times per kVp on a Schick33(®) sensor. The images were enhanced by brightness/contrast adjustment, histogram equalization and with the 5th degree polynomial model and compared to the original non-enhanced images by six observers in two separate readings. Results : There was no significant difference between the readers and between the first and second reading. There was a significant three-factor interaction among Method, Exposure time, and kVp in detecting holes. The overall pattern was: "Poly" results in the highest counts, "Original" in the lowest counts, with "B/C" and "Equalized" intermediate. Conclusion : The 5th degree polynomial model showed more holes when compared to the other modalities.

No MeSH data available.


Related in: MedlinePlus