SlideShare una empresa de Scribd logo
1 de 22
Descargar para leer sin conexión
Internship Presentation
Margarita Andreou
Subject
Design a mechanical apparatus that holds ultrasound
probes with existing resolution phantoms, in order to
measure ultrasound imaging resolution in a precise and
reproducible manner.
List of the requirements
1. The ultrasound scanning plan should be perpendicular
to the phantom surface.
2. The ultrasound scanning plan should intersect the
reflecting objects in an optimal manner.
3. The probe should be easy to install on the holder.
4. The probe should be firmly attached to the holder.
5. The probe repositioning should be repeatable.
1st
design idea
Movement in horizontal way
Movement in vertical way
Probe holder
Cable holder with screws
Resolution Measurement Test
Third target group(10.5 cm depth)
Time: 4 min
Without holder With holder
Axial Resolution
(mm)
Lateral Resolution
(mm)
Axial
Resolution (mm)
Lateral Resolution
(mm)
0.5 2 0.5 1
0.5 1 0.5 1
0.5 1 0.5 1
0.5 2 0.5 1
0.5 1 0.5 1
Results 5/5 3/5 5/5 5/5
Problems of the prototype
1. The cable holder is not easy to setup.
2. The measurement is not very fast.
3. The vertical tube is not well controlled.
4. The right arm of the holder is hard to slide.
5. The probe repositioning is not repeatable.
The technical problems occurred mainly due to assembly
To eliminate these problems a new apparatus was builded with more stable
materials and with parts that are easier to assembly.
2nd
design idea
It consists of optical rails that
can be used for quick and
repeatable alignment and of
optical rail carriers.
Resolution Measurement Test
Axial
Resolution
(mm)
Lateral
Resolution
(mm)
Time
(min:sec)
0.5 1 2:07
0.5 1 2:50
0.5 1 1:20
Results 3/3 3/3 2:05
Third target group(10.5 cm depth)
Axial
Resolution
(mm)
Lateral
Resolution
(mm)
Time
(min:sec)
0.5 2 1:40
0.5 2 2:52
0.5 2 2:07
0.5 2 2:50
0.5 2 1:20
Results 5/5 5/5 2:10
Second target group(6.5 cm depth)
Conclusion
1. The measurement are fast and reproducible
2. The holder is stable.
3. The use of the holder is easy.
4. The probe repositioning is repeatable.
5. The probe is easy to install on the holder.
Resolution Quantification in Matlab
With the use of matlab, a program is made to process the
image which are taken from aixplorer.
The program helps to give a reproducible results for the
resolution of the images.
The program give to the user the axial and lateral resolution
for the 6.5 and 10.5 cm target groups.
1. The program reads the image, converts it in grayscale
and computes the pixel dimensions.
Resolution Quantification in Matlab
2. It finds the center point of the image, which are there
where the vertical and horizontal wire targets are intersect.
Resolution Quantification in Matlab
3. It zooms in the desired area either the 6.5 cm depth target
group or the 10.5 cm target group and it put in every target a
cross.
Resolution Quantification in Matlab
4.It makes pairs between the neighbor
targets.
With the yellow lines are the pair for axial
resolution and with blue line is the pair for
lateral resolution.
For each pair it measure the brightness.
Resolution Quantification in Matlab
If the brightness is zero then the targets can not be distinguished and they
appear with red line.
It finally gives to the user the axial and the lateral resolution.
Resolution Quantification in Matlab
Images
Different gain, focal zone, attenuation, zoom,
depth and combination of them.
With and without the holder.
Images with the XC6-1 and SL10-2 probe.
Images with the CIRS 040GSE phantom
Conclusion
The resolution are not depend on the gain, on the attenuation and on
the zoom.
For depth 10 cm the axial resolution depends of the focal zone. For
bigger depth the resolution is independent from the focal zone.
The focal zone must be as close as it can to the target group and just
after of it.
The combination of 20% gain and 10cm depth gives the greatest axial
resolution that can be achieved in the second target group.
The program cannot work with the images that are taken without the
holder, because of the rotation.
Results at 6.5 cm target group
(default conditions)
Axial Resolution(mm) Lateral Resolution(mm)
1 2
1 2
1 2
1 2
1 2
Results 5/5 5/5
Results at 10.5 cm target group
(default conditions)
Axial Resolution(mm) Lateral Resolution(mm)
0.5 2
0.5 2
0.5 2
Results 3/3 3/3
Comparison results
Visual Results Matlab Results
Target group Axial Resolution
(mm)
Lateral
Resolution(mm)
Axial Resolution
(mm)
Lateral
Resolution(mm)
10.5 cm
0.5 1 0.5 2
0.5 1 0.5 2
0.5 1 0.5 2
6.5 cm
0.5 2 1 2
0.5 2 1 2
0.5 2 1 2
0.5 2 1 2
0.5 2 1 2
Conclusion
1.The program helps to have reproducible results
without the human subjective assessment.
2.The test with the use of matlab is easier and
faster.
3. The program can be easily transfer to non-expert
users, like an operator in a factory.

Más contenido relacionado

La actualidad más candente

Three View Self Calibration and 3D Reconstruction
Three View Self Calibration and 3D ReconstructionThree View Self Calibration and 3D Reconstruction
Three View Self Calibration and 3D ReconstructionPeter Abeles
 
A Novel Approach for Edge Detection using Modified ACIES Filtering
A Novel Approach for Edge Detection using Modified ACIES FilteringA Novel Approach for Edge Detection using Modified ACIES Filtering
A Novel Approach for Edge Detection using Modified ACIES Filteringidescitation
 
Concept of stereo vision based virtual touch
Concept of stereo vision based virtual touchConcept of stereo vision based virtual touch
Concept of stereo vision based virtual touchVivek Chamorshikar
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentIJERD Editor
 
AE 497 Spring 2015 Final Report
AE 497 Spring 2015 Final ReportAE 497 Spring 2015 Final Report
AE 497 Spring 2015 Final ReportCatherine McCarthy
 
Unconstrained fingerprint recognition fully touchless 3 d system ieee
Unconstrained fingerprint recognition  fully touchless 3 d system ieeeUnconstrained fingerprint recognition  fully touchless 3 d system ieee
Unconstrained fingerprint recognition fully touchless 3 d system ieeesinisha george
 
A Short Introduction to Computer Vision-based Marker Tracking
A Short Introduction to  Computer Vision-based  Marker TrackingA Short Introduction to  Computer Vision-based  Marker Tracking
A Short Introduction to Computer Vision-based Marker TrackingJens Grubert
 
Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...
Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...
Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...IRJET Journal
 
Fingerprint Image Compression using Sparse Representation and Enhancement wit...
Fingerprint Image Compression using Sparse Representation and Enhancement wit...Fingerprint Image Compression using Sparse Representation and Enhancement wit...
Fingerprint Image Compression using Sparse Representation and Enhancement wit...Editor IJCATR
 
Distinctive image features from scale invariant keypoint
Distinctive image features from scale invariant keypointDistinctive image features from scale invariant keypoint
Distinctive image features from scale invariant keypointHadi Sinaee
 

La actualidad más candente (11)

Three View Self Calibration and 3D Reconstruction
Three View Self Calibration and 3D ReconstructionThree View Self Calibration and 3D Reconstruction
Three View Self Calibration and 3D Reconstruction
 
A Novel Approach for Edge Detection using Modified ACIES Filtering
A Novel Approach for Edge Detection using Modified ACIES FilteringA Novel Approach for Edge Detection using Modified ACIES Filtering
A Novel Approach for Edge Detection using Modified ACIES Filtering
 
Concept of stereo vision based virtual touch
Concept of stereo vision based virtual touchConcept of stereo vision based virtual touch
Concept of stereo vision based virtual touch
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
AE 497 Spring 2015 Final Report
AE 497 Spring 2015 Final ReportAE 497 Spring 2015 Final Report
AE 497 Spring 2015 Final Report
 
Unconstrained fingerprint recognition fully touchless 3 d system ieee
Unconstrained fingerprint recognition  fully touchless 3 d system ieeeUnconstrained fingerprint recognition  fully touchless 3 d system ieee
Unconstrained fingerprint recognition fully touchless 3 d system ieee
 
A Short Introduction to Computer Vision-based Marker Tracking
A Short Introduction to  Computer Vision-based  Marker TrackingA Short Introduction to  Computer Vision-based  Marker Tracking
A Short Introduction to Computer Vision-based Marker Tracking
 
Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...
Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...
Deblurring Image and Removing Noise from Medical Images for Cancerous Disease...
 
Fingerprint Image Compression using Sparse Representation and Enhancement wit...
Fingerprint Image Compression using Sparse Representation and Enhancement wit...Fingerprint Image Compression using Sparse Representation and Enhancement wit...
Fingerprint Image Compression using Sparse Representation and Enhancement wit...
 
Distinctive image features from scale invariant keypoint
Distinctive image features from scale invariant keypointDistinctive image features from scale invariant keypoint
Distinctive image features from scale invariant keypoint
 
E011122530
E011122530E011122530
E011122530
 

Destacado

Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...
Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...
Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...inventionjournals
 
Craig Coetcer Curriculum Vitae'
Craig Coetcer Curriculum Vitae'Craig Coetcer Curriculum Vitae'
Craig Coetcer Curriculum Vitae'Craig Coetzer
 
Sindrome de origen laboral
Sindrome de origen laboralSindrome de origen laboral
Sindrome de origen laboralClaudia Nicole
 
Eddy yajaira pertegas_perez_actividad1_2_mapac
Eddy yajaira pertegas_perez_actividad1_2_mapacEddy yajaira pertegas_perez_actividad1_2_mapac
Eddy yajaira pertegas_perez_actividad1_2_mapaceypp77
 
La importancia de la planificacion
La importancia de la planificacionLa importancia de la planificacion
La importancia de la planificacionAndrés Cueva
 
An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...
An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...
An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...inventionjournals
 
Observen como clonan en un cajero accio ntv2009-ok
Observen como clonan en un cajero accio ntv2009-okObserven como clonan en un cajero accio ntv2009-ok
Observen como clonan en un cajero accio ntv2009-okfergones
 
Roles de géneo
Roles de géneoRoles de géneo
Roles de géneonatytoys
 
Determinación de gliadina y glutenina en harina
Determinación de gliadina y glutenina en harina Determinación de gliadina y glutenina en harina
Determinación de gliadina y glutenina en harina Cristina Mendoza
 

Destacado (20)

Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...
Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...
Effects of the External (Macro) And Internal (Micro) Source (Factors) of Inno...
 
Craig Coetcer Curriculum Vitae'
Craig Coetcer Curriculum Vitae'Craig Coetcer Curriculum Vitae'
Craig Coetcer Curriculum Vitae'
 
Agricultura digital
Agricultura digitalAgricultura digital
Agricultura digital
 
Sindrome de origen laboral
Sindrome de origen laboralSindrome de origen laboral
Sindrome de origen laboral
 
CURRICULUM VITAE- Ashley Singh
CURRICULUM VITAE- Ashley SinghCURRICULUM VITAE- Ashley Singh
CURRICULUM VITAE- Ashley Singh
 
Las ntics
Las nticsLas ntics
Las ntics
 
Trabajo pio xii
Trabajo pio xiiTrabajo pio xii
Trabajo pio xii
 
ResumeSarahMariro
ResumeSarahMariroResumeSarahMariro
ResumeSarahMariro
 
Eddy yajaira pertegas_perez_actividad1_2_mapac
Eddy yajaira pertegas_perez_actividad1_2_mapacEddy yajaira pertegas_perez_actividad1_2_mapac
Eddy yajaira pertegas_perez_actividad1_2_mapac
 
Por qué todos debemos deshacernos de nuestros hornos microondas
Por qué todos debemos deshacernos de nuestros hornos microondasPor qué todos debemos deshacernos de nuestros hornos microondas
Por qué todos debemos deshacernos de nuestros hornos microondas
 
La importancia de la planificacion
La importancia de la planificacionLa importancia de la planificacion
La importancia de la planificacion
 
Repensando el Capitalismo - Paul Tudor Jones II
Repensando el Capitalismo - Paul Tudor Jones IIRepensando el Capitalismo - Paul Tudor Jones II
Repensando el Capitalismo - Paul Tudor Jones II
 
An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...
An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...
An Overview of Libyan Economy: Oil and Non-Oil Industries Regulations and Con...
 
Practica 4
Practica 4Practica 4
Practica 4
 
P7 e2 hugo_rodríguez
P7 e2 hugo_rodríguezP7 e2 hugo_rodríguez
P7 e2 hugo_rodríguez
 
Campus party cali 2014
Campus party cali 2014Campus party cali 2014
Campus party cali 2014
 
Observen como clonan en un cajero accio ntv2009-ok
Observen como clonan en un cajero accio ntv2009-okObserven como clonan en un cajero accio ntv2009-ok
Observen como clonan en un cajero accio ntv2009-ok
 
Roles de géneo
Roles de géneoRoles de géneo
Roles de géneo
 
Determinación de gliadina y glutenina en harina
Determinación de gliadina y glutenina en harina Determinación de gliadina y glutenina en harina
Determinación de gliadina y glutenina en harina
 
Adcampaign
AdcampaignAdcampaign
Adcampaign
 

Similar a Internship Presentation

A general lens design method, with a photographic lens example
A general lens design method, with a photographic lens exampleA general lens design method, with a photographic lens example
A general lens design method, with a photographic lens exampleDave Shafer
 
EENG512FinalPresentation_DanielKuntz
EENG512FinalPresentation_DanielKuntzEENG512FinalPresentation_DanielKuntz
EENG512FinalPresentation_DanielKuntzDaniel K
 
Executive Summary of my work
Executive Summary of my workExecutive Summary of my work
Executive Summary of my workMargarita Andreou
 
Artifacts Detection by Extracting Edge Features and Error Block Analysis from...
Artifacts Detection by Extracting Edge Features and Error Block Analysis from...Artifacts Detection by Extracting Edge Features and Error Block Analysis from...
Artifacts Detection by Extracting Edge Features and Error Block Analysis from...Md. Mehedi Hasan
 
Visual Quality for both Images and Display of Systems by Visual Enhancement u...
Visual Quality for both Images and Display of Systems by Visual Enhancement u...Visual Quality for both Images and Display of Systems by Visual Enhancement u...
Visual Quality for both Images and Display of Systems by Visual Enhancement u...IJMER
 
FPGA-Based Contact Lenses Try-On System
FPGA-Based Contact Lenses Try-On SystemFPGA-Based Contact Lenses Try-On System
FPGA-Based Contact Lenses Try-On Systemjournal ijrtem
 
Identification and Rejection of Defective Ceramic Tile using Image Processing...
Identification and Rejection of Defective Ceramic Tile using Image Processing...Identification and Rejection of Defective Ceramic Tile using Image Processing...
Identification and Rejection of Defective Ceramic Tile using Image Processing...IJMTST Journal
 
Realtime pothole detection system using improved CNN Models
Realtime pothole detection system using improved CNN ModelsRealtime pothole detection system using improved CNN Models
Realtime pothole detection system using improved CNN Modelsnithinsai2992
 
FPGA Implementation of Decision Based Algorithm for Removal of Impulse Noise
FPGA Implementation of Decision Based Algorithm for Removal of Impulse NoiseFPGA Implementation of Decision Based Algorithm for Removal of Impulse Noise
FPGA Implementation of Decision Based Algorithm for Removal of Impulse NoiseIRJET Journal
 
Video Stitching using Improved RANSAC and SIFT
Video Stitching using Improved RANSAC and SIFTVideo Stitching using Improved RANSAC and SIFT
Video Stitching using Improved RANSAC and SIFTIRJET Journal
 
New catadioptric design type fast speed and wide field
New catadioptric design type   fast speed and wide fieldNew catadioptric design type   fast speed and wide field
New catadioptric design type fast speed and wide fieldDave Shafer
 
Target Detection Using Multi Resolution Analysis for Camouflaged Images
Target Detection Using Multi Resolution Analysis for Camouflaged Images Target Detection Using Multi Resolution Analysis for Camouflaged Images
Target Detection Using Multi Resolution Analysis for Camouflaged Images ijcisjournal
 
Why Customizable Imaging Software is Better than a "Jack of All Trades"
Why Customizable Imaging Software is Better than a "Jack of All Trades"Why Customizable Imaging Software is Better than a "Jack of All Trades"
Why Customizable Imaging Software is Better than a "Jack of All Trades"Olympus IMS
 
Generating 3 d model from video
Generating 3 d model from videoGenerating 3 d model from video
Generating 3 d model from videoacijjournal
 

Similar a Internship Presentation (20)

Mo2521632166
Mo2521632166Mo2521632166
Mo2521632166
 
A general lens design method, with a photographic lens example
A general lens design method, with a photographic lens exampleA general lens design method, with a photographic lens example
A general lens design method, with a photographic lens example
 
N026080083
N026080083N026080083
N026080083
 
EENG512FinalPresentation_DanielKuntz
EENG512FinalPresentation_DanielKuntzEENG512FinalPresentation_DanielKuntz
EENG512FinalPresentation_DanielKuntz
 
What classes of SMD components is this category used for?
What classes of SMD components is this category used for?What classes of SMD components is this category used for?
What classes of SMD components is this category used for?
 
Executive Summary of my work
Executive Summary of my workExecutive Summary of my work
Executive Summary of my work
 
Artifacts Detection by Extracting Edge Features and Error Block Analysis from...
Artifacts Detection by Extracting Edge Features and Error Block Analysis from...Artifacts Detection by Extracting Edge Features and Error Block Analysis from...
Artifacts Detection by Extracting Edge Features and Error Block Analysis from...
 
Visual Quality for both Images and Display of Systems by Visual Enhancement u...
Visual Quality for both Images and Display of Systems by Visual Enhancement u...Visual Quality for both Images and Display of Systems by Visual Enhancement u...
Visual Quality for both Images and Display of Systems by Visual Enhancement u...
 
FPGA-Based Contact Lenses Try-On System
FPGA-Based Contact Lenses Try-On SystemFPGA-Based Contact Lenses Try-On System
FPGA-Based Contact Lenses Try-On System
 
Identification and Rejection of Defective Ceramic Tile using Image Processing...
Identification and Rejection of Defective Ceramic Tile using Image Processing...Identification and Rejection of Defective Ceramic Tile using Image Processing...
Identification and Rejection of Defective Ceramic Tile using Image Processing...
 
Realtime pothole detection system using improved CNN Models
Realtime pothole detection system using improved CNN ModelsRealtime pothole detection system using improved CNN Models
Realtime pothole detection system using improved CNN Models
 
FPGA Implementation of Decision Based Algorithm for Removal of Impulse Noise
FPGA Implementation of Decision Based Algorithm for Removal of Impulse NoiseFPGA Implementation of Decision Based Algorithm for Removal of Impulse Noise
FPGA Implementation of Decision Based Algorithm for Removal of Impulse Noise
 
Video Stitching using Improved RANSAC and SIFT
Video Stitching using Improved RANSAC and SIFTVideo Stitching using Improved RANSAC and SIFT
Video Stitching using Improved RANSAC and SIFT
 
[IJET-V1I5P4] Authors :Murugan, Avudaiappan, Balasubramanian
[IJET-V1I5P4] Authors :Murugan, Avudaiappan, Balasubramanian [IJET-V1I5P4] Authors :Murugan, Avudaiappan, Balasubramanian
[IJET-V1I5P4] Authors :Murugan, Avudaiappan, Balasubramanian
 
New catadioptric design type fast speed and wide field
New catadioptric design type   fast speed and wide fieldNew catadioptric design type   fast speed and wide field
New catadioptric design type fast speed and wide field
 
Target Detection Using Multi Resolution Analysis for Camouflaged Images
Target Detection Using Multi Resolution Analysis for Camouflaged Images Target Detection Using Multi Resolution Analysis for Camouflaged Images
Target Detection Using Multi Resolution Analysis for Camouflaged Images
 
Why Customizable Imaging Software is Better than a "Jack of All Trades"
Why Customizable Imaging Software is Better than a "Jack of All Trades"Why Customizable Imaging Software is Better than a "Jack of All Trades"
Why Customizable Imaging Software is Better than a "Jack of All Trades"
 
06_features_slides.pdf
06_features_slides.pdf06_features_slides.pdf
06_features_slides.pdf
 
Generating 3 d model from video
Generating 3 d model from videoGenerating 3 d model from video
Generating 3 d model from video
 
Brochure s neox
Brochure s neoxBrochure s neox
Brochure s neox
 

Internship Presentation

  • 2. Subject Design a mechanical apparatus that holds ultrasound probes with existing resolution phantoms, in order to measure ultrasound imaging resolution in a precise and reproducible manner.
  • 3. List of the requirements 1. The ultrasound scanning plan should be perpendicular to the phantom surface. 2. The ultrasound scanning plan should intersect the reflecting objects in an optimal manner. 3. The probe should be easy to install on the holder. 4. The probe should be firmly attached to the holder. 5. The probe repositioning should be repeatable.
  • 4. 1st design idea Movement in horizontal way Movement in vertical way Probe holder Cable holder with screws
  • 5. Resolution Measurement Test Third target group(10.5 cm depth) Time: 4 min Without holder With holder Axial Resolution (mm) Lateral Resolution (mm) Axial Resolution (mm) Lateral Resolution (mm) 0.5 2 0.5 1 0.5 1 0.5 1 0.5 1 0.5 1 0.5 2 0.5 1 0.5 1 0.5 1 Results 5/5 3/5 5/5 5/5
  • 6. Problems of the prototype 1. The cable holder is not easy to setup. 2. The measurement is not very fast. 3. The vertical tube is not well controlled. 4. The right arm of the holder is hard to slide. 5. The probe repositioning is not repeatable. The technical problems occurred mainly due to assembly To eliminate these problems a new apparatus was builded with more stable materials and with parts that are easier to assembly.
  • 7. 2nd design idea It consists of optical rails that can be used for quick and repeatable alignment and of optical rail carriers.
  • 8. Resolution Measurement Test Axial Resolution (mm) Lateral Resolution (mm) Time (min:sec) 0.5 1 2:07 0.5 1 2:50 0.5 1 1:20 Results 3/3 3/3 2:05 Third target group(10.5 cm depth) Axial Resolution (mm) Lateral Resolution (mm) Time (min:sec) 0.5 2 1:40 0.5 2 2:52 0.5 2 2:07 0.5 2 2:50 0.5 2 1:20 Results 5/5 5/5 2:10 Second target group(6.5 cm depth)
  • 9. Conclusion 1. The measurement are fast and reproducible 2. The holder is stable. 3. The use of the holder is easy. 4. The probe repositioning is repeatable. 5. The probe is easy to install on the holder.
  • 10. Resolution Quantification in Matlab With the use of matlab, a program is made to process the image which are taken from aixplorer. The program helps to give a reproducible results for the resolution of the images. The program give to the user the axial and lateral resolution for the 6.5 and 10.5 cm target groups.
  • 11. 1. The program reads the image, converts it in grayscale and computes the pixel dimensions. Resolution Quantification in Matlab
  • 12. 2. It finds the center point of the image, which are there where the vertical and horizontal wire targets are intersect. Resolution Quantification in Matlab
  • 13. 3. It zooms in the desired area either the 6.5 cm depth target group or the 10.5 cm target group and it put in every target a cross. Resolution Quantification in Matlab
  • 14. 4.It makes pairs between the neighbor targets. With the yellow lines are the pair for axial resolution and with blue line is the pair for lateral resolution. For each pair it measure the brightness. Resolution Quantification in Matlab
  • 15. If the brightness is zero then the targets can not be distinguished and they appear with red line. It finally gives to the user the axial and the lateral resolution. Resolution Quantification in Matlab
  • 16. Images Different gain, focal zone, attenuation, zoom, depth and combination of them. With and without the holder. Images with the XC6-1 and SL10-2 probe. Images with the CIRS 040GSE phantom
  • 17.
  • 18. Conclusion The resolution are not depend on the gain, on the attenuation and on the zoom. For depth 10 cm the axial resolution depends of the focal zone. For bigger depth the resolution is independent from the focal zone. The focal zone must be as close as it can to the target group and just after of it. The combination of 20% gain and 10cm depth gives the greatest axial resolution that can be achieved in the second target group. The program cannot work with the images that are taken without the holder, because of the rotation.
  • 19. Results at 6.5 cm target group (default conditions) Axial Resolution(mm) Lateral Resolution(mm) 1 2 1 2 1 2 1 2 1 2 Results 5/5 5/5
  • 20. Results at 10.5 cm target group (default conditions) Axial Resolution(mm) Lateral Resolution(mm) 0.5 2 0.5 2 0.5 2 Results 3/3 3/3
  • 21. Comparison results Visual Results Matlab Results Target group Axial Resolution (mm) Lateral Resolution(mm) Axial Resolution (mm) Lateral Resolution(mm) 10.5 cm 0.5 1 0.5 2 0.5 1 0.5 2 0.5 1 0.5 2 6.5 cm 0.5 2 1 2 0.5 2 1 2 0.5 2 1 2 0.5 2 1 2 0.5 2 1 2
  • 22. Conclusion 1.The program helps to have reproducible results without the human subjective assessment. 2.The test with the use of matlab is easier and faster. 3. The program can be easily transfer to non-expert users, like an operator in a factory.