Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI
Dynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) are perfusion imaging techniques used mainly for clinical and preclinical measurement of vessel permeability and capillary blood flow, respectively. It is advantageous to apply both methods to exploit their com...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-10-01
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| Series: | Measurement Science Review |
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| Online Access: | https://doi.org/10.1515/msr-2018-0036 |
| _version_ | 1818716467949993984 |
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| author | Macíček Ondřej Jiřík Radovan Mikulka Jan Bartoš Michal Šprláková-Puková Andrea Keřkovský Miloš Starčuk Zenon Bartušek Karel Taxt Torfinn |
| author_facet | Macíček Ondřej Jiřík Radovan Mikulka Jan Bartoš Michal Šprláková-Puková Andrea Keřkovský Miloš Starčuk Zenon Bartušek Karel Taxt Torfinn |
| author_sort | Macíček Ondřej |
| collection | DOAJ |
| description | Dynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) are perfusion imaging techniques used mainly for clinical and preclinical measurement of vessel permeability and capillary blood flow, respectively. It is advantageous to apply both methods to exploit their complementary information about the perfusion status of the tissue. We propose a novel acquisition method that combines advantages of the current simultaneous and sequential acquisition. The proposed method consists of a DCE-MRI acquisition interrupted by DSC-MRI acquisition. A new method for processing of the DCE-MRI data is proposed which takes the interleaved acquisition into account. Analysis of both the DCE- and DSC-MRI data is reformulated so that they are approximated by the same pharmacokinetic model (constrained distributed capillary adiabatic tissue homogeneity model). This provides a straightforward evaluation of the methodology as some of the estimated DCE- and DSC-MRI perfusion parameters should be identical. Evaluation on synthetic data showed an acceptable precision and no apparent bias introduced by the interleaved character of the DCE-MRI acquisition. Intravascular perfusion parameters obtained from clinical glioma data showed a fairly high correlation of blood flow estimates from DCE- and DSC-MRI, however, an unknown scaling factor was still present mainly because of the tissue-specific r2*$r_2^*$ relaxivity. The results show validity of the proposed acquisition method. They also indicate that simultaneous processing of both DCE- and DSC-MRI data with joint estimation of some perfusion parameters (included in both DCE- and DSC-MRI) might be possible to increase the reliability of the DCE- and DSC-MRI methods alone. |
| first_indexed | 2024-12-17T19:19:44Z |
| format | Article |
| id | doaj.art-ed9ee21f5bfb48a0b31a8bba6651f442 |
| institution | Directory Open Access Journal |
| issn | 1335-8871 |
| language | English |
| last_indexed | 2024-12-17T19:19:44Z |
| publishDate | 2018-10-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Measurement Science Review |
| spelling | doaj.art-ed9ee21f5bfb48a0b31a8bba6651f4422022-12-21T21:35:37ZengSciendoMeasurement Science Review1335-88712018-10-0118626227110.1515/msr-2018-0036msr-2018-0036Time-Efficient Perfusion Imaging Using DCE- and DSC-MRIMacíček Ondřej0Jiřík Radovan1Mikulka Jan2Bartoš Michal3Šprláková-Puková Andrea4Keřkovský Miloš5Starčuk Zenon6Bartušek Karel7Taxt Torfinn8Institute of Scientific Instruments of the Czech Academy of Sciences, Královopolská, 62/147, 612 00, Brno, Czech RepublicInstitute of Scientific Instruments of the Czech Academy of Sciences, Královopolská, 62/147, 612 00, Brno, Czech RepublicDepartment of Theoretical and Experimental Electrical Engineering, The Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická, 3082/12, 616 00, Brno, Czech RepublicInstitute of Information Theory and Automation of the Czech Academy of Sciences, Pod Vodárenskou věží, 4, 182 08, Prague 8, Czech RepublicDepartment of Radiology and Nuclear Medicine, The University Hospital Brno and Masaryk University, Jihlavská, 340/20, 625 00, Brno, Czech RepublicDepartment of Radiology and Nuclear Medicine, The University Hospital Brno and Masaryk University, Jihlavská, 340/20, 625 00, Brno, Czech RepublicInstitute of Scientific Instruments of the Czech Academy of Sciences, Královopolská, 62/147, 612 00, Brno, Czech RepublicInstitute of Scientific Instruments of the Czech Academy of Sciences, Královopolská, 62/147, 612 00, Brno, Czech RepublicThe Department of Biomedicine, Faculty of Medicine, University of Bergen, Jonas Lies vei, 91, 5009, Bergen, NorwayDynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) are perfusion imaging techniques used mainly for clinical and preclinical measurement of vessel permeability and capillary blood flow, respectively. It is advantageous to apply both methods to exploit their complementary information about the perfusion status of the tissue. We propose a novel acquisition method that combines advantages of the current simultaneous and sequential acquisition. The proposed method consists of a DCE-MRI acquisition interrupted by DSC-MRI acquisition. A new method for processing of the DCE-MRI data is proposed which takes the interleaved acquisition into account. Analysis of both the DCE- and DSC-MRI data is reformulated so that they are approximated by the same pharmacokinetic model (constrained distributed capillary adiabatic tissue homogeneity model). This provides a straightforward evaluation of the methodology as some of the estimated DCE- and DSC-MRI perfusion parameters should be identical. Evaluation on synthetic data showed an acceptable precision and no apparent bias introduced by the interleaved character of the DCE-MRI acquisition. Intravascular perfusion parameters obtained from clinical glioma data showed a fairly high correlation of blood flow estimates from DCE- and DSC-MRI, however, an unknown scaling factor was still present mainly because of the tissue-specific r2*$r_2^*$ relaxivity. The results show validity of the proposed acquisition method. They also indicate that simultaneous processing of both DCE- and DSC-MRI data with joint estimation of some perfusion parameters (included in both DCE- and DSC-MRI) might be possible to increase the reliability of the DCE- and DSC-MRI methods alone.https://doi.org/10.1515/msr-2018-0036perfusion imagingcontrast agentsbrain tumorsdce-mridsc-mri |
| spellingShingle | Macíček Ondřej Jiřík Radovan Mikulka Jan Bartoš Michal Šprláková-Puková Andrea Keřkovský Miloš Starčuk Zenon Bartušek Karel Taxt Torfinn Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI Measurement Science Review perfusion imaging contrast agents brain tumors dce-mri dsc-mri |
| title | Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI |
| title_full | Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI |
| title_fullStr | Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI |
| title_full_unstemmed | Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI |
| title_short | Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI |
| title_sort | time efficient perfusion imaging using dce and dsc mri |
| topic | perfusion imaging contrast agents brain tumors dce-mri dsc-mri |
| url | https://doi.org/10.1515/msr-2018-0036 |
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