/
AN ESTIMATION OF RADIATION OUTPUT OF X-RAY MACHINES BASED ON MATHEMATICAL MODEL AN ESTIMATION OF RADIATION OUTPUT OF X-RAY MACHINES BASED ON MATHEMATICAL MODEL

AN ESTIMATION OF RADIATION OUTPUT OF X-RAY MACHINES BASED ON MATHEMATICAL MODEL - PowerPoint Presentation

SocialButterfly
SocialButterfly . @SocialButterfly
Follow
342 views
Uploaded On 2022-08-02

AN ESTIMATION OF RADIATION OUTPUT OF X-RAY MACHINES BASED ON MATHEMATICAL MODEL - PPT Presentation

Miss SIMO TCHATCHOUANG under the supervision of Pr TALLA Pierre and Dr SAMBA Odette Ngano Fifth African School of Fondamental P hysics and its Application ID: 932614

model results ray dose results model dose ray output measurements machine filtration radiation machines fixed methods discussions comparison general

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "AN ESTIMATION OF RADIATION OUTPUT OF X-R..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

AN ESTIMATION OF RADIATION OUTPUT OF X-RAY MACHINES BASED ON MATHEMATICAL MODEL

Miss SIMO TCHATCHOUANG under the supervision ofPr. TALLA Pierreand Dr. SAMBA Odette Ngano

Fifth African School of Fondamental Physics and its Application

1

Slide2

GENERAL INTRODUCTION I: REVIEW

OUTLINES II:

MATERIALS AND METHODS

III

:

RESULTS AND DISCUSSIONS

GENERAL CONCLUSION AND PERSPECTIVES.

2

Slide3

3General introduction

Radiology is widely used for diagnostic and therapeutic purposes. But the use of x-rays in the medical domain in not only beneficial. Erythema

Dry desquamationsCancerThe ESAK is defined by the

IAEA

as the absorbed dose to the air at the point of intersection of x-ray beam axis with the entrance surface of the patient, including backscattered radiation from the patient

.

Slide4

General introduction

Materials needed for dose measurements: Thermoluminescent Dosimeters (TLD)Ionosing chambers (IC)Alternate methods to the use of

dosimeters for dose estimation: Mathematical EquationsLimitationNeed of a dosimeter to mesure the radiation output or air Kerma4objective

Propose a mathematical model to estimate radiation output of three phases x-ray machines

Slide5

Methods for evaluation of the ESAK in conventional radiology

Davies model

:

(1)

output of the x-ray machine

Backscatter factor

5

Voltage

Focus skin distance

Slide6

Methods for evaluation of the Kerma in conventional radiology

Harppen’s

model :

Sunchart Cotran and Montree’s equation for estimating the Radiation output

(2)

(3)

6

Slide7

Materials

Fig. 1: x-ray machine

Fig. 2: Diavolt7A total number of four Three phases x-ray machines were used

Slide8

fixed parameters : The charge: 20mAs

The FDD: 1mThe anode angle:Method

variable parameters:

Tube voltage from 60-120kv by interval of 10

Filtration

8

Slide9

Methods

(4)

Defined Model9

Slide10

Results and Discussions

Table 1: Specific data of machines

MachinesEquipment ModelDate of manufacture

Date of installation

Total filtration

At 80

Kv

Total filtration

Used During Measurements

1

General Electric Healthcare

2011

2012

2,5mm Al

2,5

2

General Medical Merate

2014

2015

2,9 mm Al

3

3

Siemmens

2003

2004

3,6 mm Al

4

4

Stephanix

……………….

…………….

3

3

10

Slide11

Results and Discussions

Table 2: Results of the measurements done for the first machine .

Fixed kV60

70

80

90

100

110

Mean

kVpmax

70.57

77.00

87.53

99.80

129.37

15.571

Mean dose (µ

Gy

)

437.83

633.57

855.40

1105

1394

1734.67

Mean dose (µ

Gy

/

mAs

)

21.89

31.68

42.77

55.25

69.70

86.73

T

able

3

:

Results of the measurements done for the second machine

.

Fixed

Kv

60

70

80

90

100

110

120

Mean

kVpmax

66.96

75.5

86.2

96.2

116.03

134.48

134.9

Mean dose(µ

Gy

)

536.43

772.16

1034

1312.3

1648.6

2164.5

2302

Mean dose (µ

Gy

/

mAs

)

26.82

38.60

51.7

65.61

82.43

101.35

115.1

11

Slide12

Results and Discussions

Table 4: Results of the measurements done for the third machine

Fixed kV60

70

81

90

102

113

121

Mean

kVpmax

54.36

69.76

85

87.23

93.46

99.83

997

Mean dose(µ

Gy

)

527.46

724.06

937.83

1136.6

1384.6

1683

1760

Mean dose (µ

Gy

/

mAs

)

26.37

36.20

46.89

56.83

69.23

80.26

88.03

Table

5

:

Results of the measurements done for the fourth machine

Fixed KV

60

70

80

90

100

110

Mean

KVpmax

58.2

68.2

78,6

88,8

99,1

111,7

Mean dose(µGy)

523

731.7

979.1

1241

1508,3

1790,6

Mean dose (µ

Gy

/

mAs

)

26,15

36,58

48,95

62,05

75,41

89,53

12

Slide13

Results and Discussions

DIRIVED EQUATION FOR OUTPUT

T is the total filtration which includes the inherent and the added filtration of tree phases x-ray machine(4)13

Slide14

Comparison of results

14Graph 1: Comparison between the measured and calculated outputGraph 2: Relative deviation between measured an estimated output

Slide15

Comparison of results15

Graph 3: Comparison of relative deviation between the Suchart’s model and our defined modelGraph 4: Relative deviation according to the Suchart and Montree’s model and our defined model for another device

Slide16

This study provided an equation to estimate radiation output for three phases x-ray machines in the case of non-availability of dosimeters

Conclusion The results also shows that taking into account the filtration, our model performs better than the Suchart and Montree’s model

A comparison between the results obtained from our model and those from measurements shows that the difference between both quite small.16

Slide17

To compare the result of ESAK calculated using our model with those from TLD

PerspectivesTo extend the study to others types of x-ray machines: single phase and high frequency

Include the distance as a variable parameter in the model17

Slide18

THANKS FOR

YOUR ATTENTION Thanks

to all 18