Temperature Mapping Using Ultrasound Digital Images
Introduction: The success of hyperthermia depends on the accuracy of the temperature monitoring in the tumor and the surrounding normal tissue. In this study, the temperature changes were determined by computing the speckle displacement in the ultrasound digital images. Speckle trackin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Mashhad University of Medical Sciences
2005-09-01
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| Series: | Iranian Journal of Medical Physics |
| Subjects: | |
| Online Access: | http://ijmp.mums.ac.ir/article_8125_17c05b9e96f9bba957e22bb1815efd9d.pdf |
| _version_ | 1818980723396182016 |
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| author | A. Nurouzi M. J. Abolhasani A. Takavar M. A. Oghabian H. Ghanaati |
| author_facet | A. Nurouzi M. J. Abolhasani A. Takavar M. A. Oghabian H. Ghanaati |
| author_sort | A. Nurouzi |
| collection | DOAJ |
| description | Introduction: The success of hyperthermia depends on the accuracy of the temperature
monitoring in the tumor and the surrounding normal tissue. In this study, the temperature changes
were determined by computing the speckle displacement in the ultrasound digital images. Speckle
tracking algorithm was used to compute the displacement.
Materials and Methods: The experiment was performed on Tissue Mimicking (TM) phantoms.
The imaging probe used was a commercial type linear array operating at 10 MHz. The speckle
displacement along the axial direction was computed using Speckle Tracking method and the
temperature changes were obtained from the displacement data. Additionally, the temperature
changes during the heating were invasively measured by NTC thermistors. The results of the two
methods were compared against each other.
Results: There was a good agreement between the Ultrasonic temperature estimation and the
measurements made by the thermistors. The maximum error and the standard deviation obtained
were 0.53 and 0.2°C, respectively.
Discussion and Conclusion: Speckle tracking algorithm is capable of extracting motion
information from both the ultrasounic digital images and radiofrequency (RF) echo signals. The
temperature changes can be obtained from the displacement data. |
| first_indexed | 2024-12-20T17:19:57Z |
| format | Article |
| id | doaj.art-4d7bbbbdb12946939b9173e561fdc5fd |
| institution | Directory Open Access Journal |
| issn | 2345-3672 2345-3672 |
| language | English |
| last_indexed | 2024-12-20T17:19:57Z |
| publishDate | 2005-09-01 |
| publisher | Mashhad University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Medical Physics |
| spelling | doaj.art-4d7bbbbdb12946939b9173e561fdc5fd2022-12-21T19:31:53ZengMashhad University of Medical SciencesIranian Journal of Medical Physics2345-36722345-36722005-09-0123677210.22038/ijmp.2005.81258125Temperature Mapping Using Ultrasound Digital ImagesA. Nurouzi0M. J. Abolhasani1A. Takavar2M. A. Oghabian3H. Ghanaati4M.Sc. in Medical Physics, Tehran University of Medical Sciences, Tehran, Iran.Assistant Professor, Physics and Biomedical Engineering Dept., Tehran University of Medical Sciences, Tehran, Iran. Research Center for Science & Technology in Medicine, Imam Khomeini Hospital, Tehran, Iran.Professor, Physics and Biomedical Engineering Dept., Tehran University of Medical Sciences, Tehran, Iran.Assistant Professor, Physics and Biomedical Engineering Dept., Tehran University of Medical Sciences, Tehran, Iran. Research Center for Science & Technology in Medicine, Imam Khomeini Hospital, Tehran, Iran.Associate Professor, Radiology Dept., Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences , Tehran, Iran.Introduction: The success of hyperthermia depends on the accuracy of the temperature monitoring in the tumor and the surrounding normal tissue. In this study, the temperature changes were determined by computing the speckle displacement in the ultrasound digital images. Speckle tracking algorithm was used to compute the displacement. Materials and Methods: The experiment was performed on Tissue Mimicking (TM) phantoms. The imaging probe used was a commercial type linear array operating at 10 MHz. The speckle displacement along the axial direction was computed using Speckle Tracking method and the temperature changes were obtained from the displacement data. Additionally, the temperature changes during the heating were invasively measured by NTC thermistors. The results of the two methods were compared against each other. Results: There was a good agreement between the Ultrasonic temperature estimation and the measurements made by the thermistors. The maximum error and the standard deviation obtained were 0.53 and 0.2°C, respectively. Discussion and Conclusion: Speckle tracking algorithm is capable of extracting motion information from both the ultrasounic digital images and radiofrequency (RF) echo signals. The temperature changes can be obtained from the displacement data.http://ijmp.mums.ac.ir/article_8125_17c05b9e96f9bba957e22bb1815efd9d.pdfUltrasoundSpeed of soundSpeckle trackingCross-correlationTemperature monitoring |
| spellingShingle | A. Nurouzi M. J. Abolhasani A. Takavar M. A. Oghabian H. Ghanaati Temperature Mapping Using Ultrasound Digital Images Iranian Journal of Medical Physics Ultrasound Speed of sound Speckle tracking Cross-correlation Temperature monitoring |
| title | Temperature Mapping Using Ultrasound Digital Images |
| title_full | Temperature Mapping Using Ultrasound Digital Images |
| title_fullStr | Temperature Mapping Using Ultrasound Digital Images |
| title_full_unstemmed | Temperature Mapping Using Ultrasound Digital Images |
| title_short | Temperature Mapping Using Ultrasound Digital Images |
| title_sort | temperature mapping using ultrasound digital images |
| topic | Ultrasound Speed of sound Speckle tracking Cross-correlation Temperature monitoring |
| url | http://ijmp.mums.ac.ir/article_8125_17c05b9e96f9bba957e22bb1815efd9d.pdf |
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