Regional Lung Perfusion: Assessment with Partially Parallel Three-dimensional MR Imaging

Fink, Christian; Puderbach, Michael; Bock, Michael; Lodemann, Klaus‐Peter; Zuna, I.; Schmähl, A.; Delorme, Stefan; Kauczor, Hans‐Ulrich

doi:10.1148/radiol.2311030193

Cited by 111 publications

(67 citation statements)

References 24 publications

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“…Hence, it is desirable to quantitatively measure hemodynamic parameters like regional pulmonary blood flow (PBF) for evaluation of regional variations (2,3). Different approaches for quantification of pulmonary perfusion have been made using microspheres (4), positron emission tomography (PET) (5), and magnetic resonance imaging (MRI) (6,7).…”

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confidence: 99%

Quantification of pulmonary blood flow (PBF): Validation of perfusion MRI and nonlinear contrast agent (CA) dose correction with HO positron emission tomography (PET)

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et al. 2009

Magnetic Resonance in Med

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confidence: 99%

Quantification of pulmonary blood flow (PBF): Validation of perfusion MRI and nonlinear contrast agent (CA) dose correction with HO positron emission tomography (PET)

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Kunz

Ley

et al. 2009

Magnetic Resonance in Med

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“…Given a point s as the ROI of image, we use level intensity value ƒ i to hold all intensity values of the i-th level neighbor points of s as ƒ i ={x1...x81} where x j is the intensity value of one i-th level neighbor point. Meanwhile, we define the position value ƒ of point s from its neighbor point intensity values as ƒ={ƒ 1 ...ƒ n }, where n is decided by the number people of which 6 were used during our experiments.…”

Section: Methodsmentioning

confidence: 99%

“…Perfusion magnetic resonance imaging (pMRI) is an imaging technique used for measuring blood flow through the organs, tissues, and vessels (1). MRI of pulmonary perfusion has become feasible by using dynamic contrast-enhanced imaging with an inversion recovery (IR) Turbo-Fast Low-Angle SHot (FLASH) sequence (2).…”

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confidence: 99%

Early lung cancer detection based on registered perfusion MRI

et al. 2006

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Abstract. Lung cancer remains the most common fatal malignancy in both men and women in the United States and elsewhere around the world among people who have been exposed passively or actively to tobacco smoke. Technological advances have produced imaging modalities that are proving to be useful for the early detection of lung cancer. In the usual modes, computed tomography (CT) and magnetic resonance imaging (MRI) can identify suspicious lesions, but further work is needed to detect cancer in its early stage. Tumor angiogenesis assessed by perfusion-sensitive MRI is a promising method for early and accurate identification of lung cancer that avoids patient stress and the potential progression to a less treatable stage inherent in serial imaging. However, compensating for the respiratory and anatomical structure motion is a challenge. In order to use perfusion MRI in a signal imaging session to define metabolic and vascular characteristics of tumors, we present a novel affine registration method for perfusion MRI that can register points of interest by tracking image intensity changes around the target point. The registration results are used to generate accurate time intensity curves (TIC) of different regions of interest (ROI). The patterns of different TICs are mapped on the cancer and other structures. The method is computationally efficient and performs well in our perfusion MRI sequence analysis.

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“…To detect lung cancer at an earlier stage, an alternative and promising method is to apply a modified perfusion magnetic resonance imaging (pMRI) (1) to assess tumor angiogenesis. Angiogenesis, defined as the formation and development of new blood vessels essential for tumor growth and the eventual spread of cancer cells to secondary locations throughout the body, is one of the most promising areas of investigation in cancer research.…”

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confidence: 99%

Spatio-temporal modeling of lung images for cancer detection

et al. 2006

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Abstract. Perfusion magnetic resonance imaging (pMRI) is an important tool in assessing tumor angiogenesis for the early detection of lung cancer. This study presents a novel integrated framework for spatio-temporal modeling of pulmonary nodules in pMRI image sequences. After localizing a nodule region in each image, we perform segmentation in the region to extract the nodule boundary, then use thin-plate spline interpolation for nodule registration along the temporal dimension. The resulting spatio-temporal model can lead to many types of nodule characterization, e.g. a time-intensity profile of a nodule region, and be used to capture important angiogenic patterns in the lung that can distinguish between cancer and benign nodules and assist in early detection.

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Regional Lung Perfusion: Assessment with Partially Parallel Three-dimensional MR Imaging

Abstract: Partially parallel MR imaging with high spatial and temporal resolution allows assessment of regional lung perfusion and has high diagnostic accuracy for detecting perfusion abnormalities.

Cited by 111 publications

References 24 publications

Quantification of pulmonary blood flow (PBF): Validation of perfusion MRI and nonlinear contrast agent (CA) dose correction with HO positron emission tomography (PET)

Quantification of pulmonary blood flow (PBF): Validation of perfusion MRI and nonlinear contrast agent (CA) dose correction with HO positron emission tomography (PET)

Early lung cancer detection based on registered perfusion MRI

Spatio-temporal modeling of lung images for cancer detection

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