Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration
We propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data for parametric T1-Map and T1-weighted images, in both 2-D and 3D settings...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2009/269525 |
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| _version_ | 1832549173220605952 |
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| author | Ping-Feng Chen R. Grant Steen Anthony Yezzi Hamid Krim |
| author_facet | Ping-Feng Chen R. Grant Steen Anthony Yezzi Hamid Krim |
| author_sort | Ping-Feng Chen |
| collection | DOAJ |
| description | We propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic
point of view in order to devise a systematic procedure to
segment brain magnetic resonance imaging (MRI) data for
parametric T1-Map and T1-weighted images, in both 2-D and
3D settings. Incorporation of a tuning weight in particular adds
a probabilistic flavor to our segmentation method, and makes
the 3-tissue segmentation possible. Moreover, we proposed a
novel method to jointly segment the T1-Map and calibrate RF Inhomogeneity
(JSRIC). This method assumes the average T1 value of white matter is the same across transverse slices in
the central brain region, and JSRIC is able to rectify the flip angles
to generate calibrated T1-Maps. In order to generate an
accurate T1-Map, the determination of optimal flip-angles and
the registration of flip-angle images are examined. Our JSRIC
method is validated on two human subjects in the 2D T1-Map
modality and our segmentation method is validated by two public
databases, BrainWeb and IBSR, of T1-weighted modality in
the 3D setting. |
| format | Article |
| id | doaj-art-7f50931d814d434295891fbd7a553dd0 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-7f50931d814d434295891fbd7a553dd02025-02-03T06:11:54ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/269525269525Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity CalibrationPing-Feng Chen0R. Grant Steen1Anthony Yezzi2Hamid Krim3Department of Electrical and Computer Engineering, North Carolina State University, NC 27695, USAMedical Communications Consultants, LLC 103 Van Doren Place Chapel Hill, NC 27517, USASchool of Electrical and Computer Engineering, Georgia Institute of Technology, GA 30332, USADepartment of Electrical and Computer Engineering, North Carolina State University, NC 27695, USAWe propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data for parametric T1-Map and T1-weighted images, in both 2-D and 3D settings. Incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation method, and makes the 3-tissue segmentation possible. Moreover, we proposed a novel method to jointly segment the T1-Map and calibrate RF Inhomogeneity (JSRIC). This method assumes the average T1 value of white matter is the same across transverse slices in the central brain region, and JSRIC is able to rectify the flip angles to generate calibrated T1-Maps. In order to generate an accurate T1-Map, the determination of optimal flip-angles and the registration of flip-angle images are examined. Our JSRIC method is validated on two human subjects in the 2D T1-Map modality and our segmentation method is validated by two public databases, BrainWeb and IBSR, of T1-weighted modality in the 3D setting.http://dx.doi.org/10.1155/2009/269525 |
| spellingShingle | Ping-Feng Chen R. Grant Steen Anthony Yezzi Hamid Krim Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration International Journal of Biomedical Imaging |
| title | Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration |
| title_full | Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration |
| title_fullStr | Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration |
| title_full_unstemmed | Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration |
| title_short | Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration |
| title_sort | joint brain parametric t1 map segmentation and rf inhomogeneity calibration |
| url | http://dx.doi.org/10.1155/2009/269525 |
| work_keys_str_mv | AT pingfengchen jointbrainparametrict1mapsegmentationandrfinhomogeneitycalibration AT rgrantsteen jointbrainparametrict1mapsegmentationandrfinhomogeneitycalibration AT anthonyyezzi jointbrainparametrict1mapsegmentationandrfinhomogeneitycalibration AT hamidkrim jointbrainparametrict1mapsegmentationandrfinhomogeneitycalibration |