Relaxation Time Estimation from Complex Magnetic Resonance Images
Magnetic Resonance (MR) imaging techniques are used to measure biophysical properties of tissues. As clinical diagnoses are mainly based on the evaluation of contrast in MR images, relaxation times assume a fundamental role providing a major source of contrast. Moreover, they can give useful informa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2010-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/10/4/3611/ |
| _version_ | 1811264339399671808 |
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| author | Fabio Baselice Giampaolo Ferraioli Vito Pascazio |
| author_facet | Fabio Baselice Giampaolo Ferraioli Vito Pascazio |
| author_sort | Fabio Baselice |
| collection | DOAJ |
| description | Magnetic Resonance (MR) imaging techniques are used to measure biophysical properties of tissues. As clinical diagnoses are mainly based on the evaluation of contrast in MR images, relaxation times assume a fundamental role providing a major source of contrast. Moreover, they can give useful information in cancer diagnostic. In this paper we present a statistical technique to estimate relaxation times exploiting complex-valued MR images. Working in the complex domain instead of the amplitude one allows us to consider the data bivariate Gaussian distributed, and thus to implement a simple Least Square (LS) estimator on the available complex data. The proposed estimator results to be simple, accurate and unbiased. |
| first_indexed | 2024-04-12T20:01:17Z |
| format | Article |
| id | doaj.art-77277a74b2274d4caa9717c9c80bd5bd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T20:01:17Z |
| publishDate | 2010-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-77277a74b2274d4caa9717c9c80bd5bd2022-12-22T03:18:31ZengMDPI AGSensors1424-82202010-04-011043611362510.3390/s100403611Relaxation Time Estimation from Complex Magnetic Resonance ImagesFabio BaseliceGiampaolo FerraioliVito PascazioMagnetic Resonance (MR) imaging techniques are used to measure biophysical properties of tissues. As clinical diagnoses are mainly based on the evaluation of contrast in MR images, relaxation times assume a fundamental role providing a major source of contrast. Moreover, they can give useful information in cancer diagnostic. In this paper we present a statistical technique to estimate relaxation times exploiting complex-valued MR images. Working in the complex domain instead of the amplitude one allows us to consider the data bivariate Gaussian distributed, and thus to implement a simple Least Square (LS) estimator on the available complex data. The proposed estimator results to be simple, accurate and unbiased.http://www.mdpi.com/1424-8220/10/4/3611/Magnetic Resonance Imagingrelaxation parameter estimationstatistical signal processing |
| spellingShingle | Fabio Baselice Giampaolo Ferraioli Vito Pascazio Relaxation Time Estimation from Complex Magnetic Resonance Images Sensors Magnetic Resonance Imaging relaxation parameter estimation statistical signal processing |
| title | Relaxation Time Estimation from Complex Magnetic Resonance Images |
| title_full | Relaxation Time Estimation from Complex Magnetic Resonance Images |
| title_fullStr | Relaxation Time Estimation from Complex Magnetic Resonance Images |
| title_full_unstemmed | Relaxation Time Estimation from Complex Magnetic Resonance Images |
| title_short | Relaxation Time Estimation from Complex Magnetic Resonance Images |
| title_sort | relaxation time estimation from complex magnetic resonance images |
| topic | Magnetic Resonance Imaging relaxation parameter estimation statistical signal processing |
| url | http://www.mdpi.com/1424-8220/10/4/3611/ |
| work_keys_str_mv | AT fabiobaselice relaxationtimeestimationfromcomplexmagneticresonanceimages AT giampaoloferraioli relaxationtimeestimationfromcomplexmagneticresonanceimages AT vitopascazio relaxationtimeestimationfromcomplexmagneticresonanceimages |