Evaluation of template matching for tumor motion management with cine-MR images in lung cancer patients

Shi, Xiaoyang; Diwanji, Tejan; Mooney, Karen; Lin, Jolinta; Feigenberg, Steven J.; D’Souza, W; Mistry, N

doi:10.1118/1.4870978

Cited by 39 publications

(36 citation statements)

References 35 publications

(52 reference statements)

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“…For the cine 2D-MRI, we extracted SI and AP motion from the sagittal plane image set, and ML motion from the coronal plane image set (the ML motion is usually small so there is less concern about out-of-plane motion). A template matching method based on maximized cross-correlation was used to track tumor motion trajectories, as introduced in a previous study 14, 15 . A template encompassing GTV on the first frame was created.…”

Section: Methodsmentioning

confidence: 99%

Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating–Based K-Space Sorting: Early Clinical Experience on Pancreatic Cancer Patients

Yang

Fan

Tuli

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

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Purpose Dynamic magnetic resonance imaging (MRI) has been used to characterize internal organ motion but real time acquisition is typically limited to 2 dimensions. Methods have been developed to reconstruct four dimensional MRI (4D-MRI) based on time-stamped 2D images or 2D K-space data. These methods suffer from anisotropic resolution and rebinning artifacts. We applied a novel self-gating K-space sorted 4D-MRI (SG-KS-4D-MRI) method to overcome these limitations and to monitor pancreatic tumor motion. Methods and Material Ten patients were imaged using 4D-CT, cine 2D-MRI and the SG-KS-4D-MRI, which is a spoiled gradient recalled echo (GRE) sequence with 3D radial-sampling K-space projections and 1D projection-based self-gating. Tumor volumes were defined on all phases in both 4D-MRI and 4D-CT and then compared. Results An isotropic resolution of 1.56 mm was achieved in the SG-KS-4D-MRI images, which showed superior soft tissue contrast to 4D-CT and appeared to be free of visible rebinning artifacts. The tumor motion trajectory cross-correlations between SG-KS-4D-MRI and cine 2D-MRI in SI, AP and ML directions were 0.93±0.03, 0.83±0.10 and 0.74±0.18, respectively. The tumor motion trajectories cross-correlations between SG-KS-4D-MRI and 4D-CT in SI, AP and ML directions were 0.91±0.06, 0.72±0.16 and 0.44±0.24, respectively. The average standard deviation of GTV volume (GTV_σ) calculated from the ten breathing phases were 0.81 cc and 1.02 cc for SG-KS-4D-MRI and 4D-CT (p=0.012). Conclusions A novel SG-KS-4D-MRI acquisition method capable of reconstructing rebinning artifact free high resolution 4D-MRI images was used to quantify pancreas tumor motion. The resultant pancreatic tumor motion trajectories agreed well with 2D-cine-MRI and 4D-CT. The pancreatic tumor volumes shown in the different phases for the SG-KS-4D-MRI were statistically significantly more consistent than those in the 4D-CT.

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Section: Methodsmentioning

confidence: 99%

Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating–Based K-Space Sorting: Early Clinical Experience on Pancreatic Cancer Patients

Yang

Fan

Tuli

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

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“…MRI has superior soft-tissue contrast compared with imaging using ionizing radiation and can be performed simultaneously with beam delivery. The potential of using this for image guidance for lung cancer in the treatment room are promising, 82,83 and may well constitute the next large step in development of image-guided radiotherapy.…”

Section: Dose Painting and Motionmentioning

confidence: 98%

Image-guided radiotherapy and motion management in lung cancer

Korreman¹

2015

BJR

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In this review, image guidance and motion management in radiotherapy for lung cancer is discussed. Motion characteristics of lung tumours and image guidance techniques to obtain motion information are elaborated. Possibilities for management of image guidance and motion in the various steps of the treatment chain are explained, including imaging techniques and beam delivery techniques. Clinical studies using different motion management techniques are reviewed, and finally future directions for image guidance and motion management are outlined.

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“…Note that other techniques to measure liver motion have been reported such as template tracking (24) and centroid displacement (25). Because images were acquired on healthy volunteers and no tumors were involved, DVF analysis was appropriate to provide motion information of the entire liver.…”

Section: Methodsmentioning

confidence: 99%

High-Quality T2-Weighted 4-Dimensional Magnetic Resonance Imaging for Radiation Therapy Applications

Caruthers

Glide-Hurst

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

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Purpose To improve triggering efficiency of the prospective respiratory amplitude triggered 4DMRI method and to develop a 4DMRI imaging protocol that can offer T2 weighting for better tumor visualization, good spatial coverage, spatial resolution and respiratory motion sampling within a reasonable amount of time for radiation therapy applications. Methods and Materials The respiratory state splitting (RSS) method and the multi-shot acquisition (MSA) method were analytically compared and validated in a simulation study using the respiratory signals from 10 healthy human subjects. The RSS method was identified to be more effective in improving triggering efficiency. It was implemented in the prospective respiratory amplitude triggered 4DMRI. 4DMRI image datasets were acquired from 5 healthy human subjects. Liver motion was estimated using the acquired 4DMRI image datasets. Results The simulation study showed that the RSS method was more effective in improving triggering efficiency compared to the MSA method. The average reductions in 4DMRI acquisition time were 36% and 10% for the RSS and MSA methods, respectively. The human subject study showed that T2-weighted 4DMRI with 10 respiratory states, 60 slices at a spatial resolution of 1.5×1.5×3.0 mm3 could be acquired in 9-18 minutes, depending on individual's breath pattern. Based on the acquired 4DMRI image datasets, the ranges of peak-to-peak liver displacements among 5 human subjects were 9.0-12.9 mm, 2.5-3.9 mm and 0.5-2.3 mm in superior-inferior, anterior-posterior and left-right directions, respectively. Conclusions We demonstrated that with the RSS method, it was feasible to acquire high quality T2-weighted 4DMRI within a reasonable amount of time for radiation therapy applications.

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Evaluation of template matching for tumor motion management with cine-MR images in lung cancer patients

Cited by 39 publications

References 35 publications

Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating–Based K-Space Sorting: Early Clinical Experience on Pancreatic Cancer Patients

Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating–Based K-Space Sorting: Early Clinical Experience on Pancreatic Cancer Patients

Image-guided radiotherapy and motion management in lung cancer

High-Quality T2-Weighted 4-Dimensional Magnetic Resonance Imaging for Radiation Therapy Applications

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