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Li X, Huang W, Holmes JH. Dynamic Contrast-Enhanced (DCE) MRI. Magn Reson Imaging Clin N Am 2024; 32:47-61. [PMID: 38007282 DOI: 10.1016/j.mric.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
The non-invasive dynamic contrast-enhanced MRI (DCE-MRI) method provides valuable insights into tissue perfusion and vascularity. Primarily used in oncology, DCE-MRI is typically utilized to assess morphology and contrast agent (CA) kinetics in the tissue of interest. Interpretation of the temporal signatures of DCE-MRI data includes qualitative, semi-quantitative, and quantitative approaches. Recent advances in MRI technology allow simultaneous high spatial and temporal resolutions in DCE-MRI data acquisition on most vendor platforms, enabling the more desirable approach of quantitative data analysis using pharmacokinetic (PK) modeling. Many technical factors, including signal-to-noise ratio, temporal resolution, quantifications of arterial input function and native tissue T1, and PK model selection, need to be carefully considered when performing quantitative DCE-MRI. Standardization in data acquisition and analysis is especially important in multi-center studies.
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Affiliation(s)
- Xin Li
- Advanced Imaging Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Wei Huang
- Advanced Imaging Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - James H Holmes
- Radiology, Biomedical Engineering, and Holden Cancer Center, University of Iowa, 169 Newton Road, Iowa City, IA 52242, USA.
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Wang PN, Velikina JV, Bancroft LCH, Samsonov AA, Kelcz F, Strigel RM, Holmes JH. The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI. Tomography 2022; 8:1552-1569. [PMID: 35736876 PMCID: PMC9227412 DOI: 10.3390/tomography8030128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/25/2022] Open
Abstract
Radial acquisition with MOCCO reconstruction has been previously proposed for high spatial and temporal resolution breast DCE imaging. In this work, we characterize MOCCO across a wide range of temporal contrast enhancement in a digital reference object (DRO). Time-resolved radial data was simulated using a DRO with lesions in different PK parameters. The under sampled data were reconstructed at 5 s temporal resolution using the data-driven low-rank temporal model for MOCCO, compressed sensing with temporal total variation (CS-TV) and more conventional low-rank reconstruction (PCB). Our results demonstrated that MOCCO was able to recover curves with Ktrans values ranging from 0.01 to 0.8 min−1 and fixed Ve = 0.3, where the fitted results are within a 10% bias error range. MOCCO reconstruction showed less impact on the selection of different temporal models than conventional low-rank reconstruction and the greater error was observed with PCB. CS-TV showed overall underestimation in both Ktrans and Ve. For the Monte-Carlo simulations, MOCCO was found to provide the most accurate reconstruction results for curves with intermediate lesion kinetics in the presence of noise. Initial in vivo experiences are reported in one patient volunteer. Overall, MOCCO was able to provide reconstructed time-series data that resulted in a more accurate measurement of PK parameters than PCB and CS-TV.
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Affiliation(s)
- Ping Ni Wang
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA; (P.N.W.); (R.M.S.)
| | - Julia V. Velikina
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA; (J.V.V.); (L.C.H.B.); (A.A.S.); (F.K.)
| | - Leah C. Henze Bancroft
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA; (J.V.V.); (L.C.H.B.); (A.A.S.); (F.K.)
| | - Alexey A. Samsonov
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA; (J.V.V.); (L.C.H.B.); (A.A.S.); (F.K.)
| | - Frederick Kelcz
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA; (J.V.V.); (L.C.H.B.); (A.A.S.); (F.K.)
| | - Roberta M. Strigel
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA; (P.N.W.); (R.M.S.)
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA; (J.V.V.); (L.C.H.B.); (A.A.S.); (F.K.)
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA
| | - James H. Holmes
- Department of Radiology, University of Iowa, 169 Newton Road, Iowa City, IA 52333, USA
- Holden Comprehensive Cancer Center, University of Iowa, 169 Newton Road, Iowa City, IA 52333, USA
- Correspondence:
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Henze Bancroft L, Holmes J, Bosca-Harasim R, Johnson J, Wang P, Korosec F, Block W, Strigel R. An Anthropomorphic Digital Reference Object (DRO) for Simulation and Analysis of Breast DCE MRI Techniques. Tomography 2022; 8:1005-1023. [PMID: 35448715 PMCID: PMC9031444 DOI: 10.3390/tomography8020081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/11/2022] [Accepted: 03/14/2022] [Indexed: 11/29/2022] Open
Abstract
Advances in accelerated magnetic resonance imaging (MRI) continue to push the bounds on achievable spatial and temporal resolution while maintaining a clinically acceptable image quality. Validation tools, including numerical simulations, are needed to characterize the repeatability and reproducibility of such methods for use in quantitative imaging applications. We describe the development of a simulation framework for analyzing and optimizing accelerated MRI acquisition and reconstruction techniques used in dynamic contrast enhanced (DCE) breast imaging. The simulation framework, in the form of a digital reference object (DRO), consists of four modules that control different aspects of the simulation, including the appearance and physiological behavior of the breast tissue as well as the MRI acquisition settings, to produce simulated k-space data for a DCE breast exam. The DRO design and functionality are described along with simulation examples provided to show potential applications of the DRO. The included simulation results demonstrate the ability of the DRO to simulate a variety of effects including the creation of simulated lesions, tissue enhancement modeled by the generalized kinetic model, T1-relaxation, fat signal precession and saturation, acquisition SNR, and changes in temporal resolution.
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Affiliation(s)
- Leah Henze Bancroft
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA; (J.H.); (J.J.); (F.K.); (W.B.); (R.S.)
- Correspondence:
| | - James Holmes
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA; (J.H.); (J.J.); (F.K.); (W.B.); (R.S.)
- Department of Radiology, University of Iowa, 169 Newton Road, Iowa City, IA 52333, USA
- Holden Comprehensive Cancer Center, University of Iowa, 169 Newton Road, Iowa City, IA 52333, USA
| | - Ryan Bosca-Harasim
- Department of Imaging Physics, Sanford Health, 801 Broadway North, Fargo, ND 58102, USA;
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA;
| | - Jacob Johnson
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA; (J.H.); (J.J.); (F.K.); (W.B.); (R.S.)
| | - Pingni Wang
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA;
| | - Frank Korosec
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA; (J.H.); (J.J.); (F.K.); (W.B.); (R.S.)
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA;
| | - Walter Block
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA; (J.H.); (J.J.); (F.K.); (W.B.); (R.S.)
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA;
- Department of Biomedical Engineering, University of Wisconsin, 1415 Engineering Drive, Madison, WI 53706, USA
| | - Roberta Strigel
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA; (J.H.); (J.J.); (F.K.); (W.B.); (R.S.)
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, USA;
- Carbone Cancer Center, University of Wisconsin, 600 Highland Avenue, Madison, WI 53792, USA
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