Search Results - "Sarosiek, C"

The accuracy of helium ion CT based particle therapy range prediction: an experimental study comparing different particle and x-ray CT modalities by Volz, L, Collins-Fekete, C-A, Bär, E, Brons, S, Graeff, C, Johnson, R P, Runz, A, Sarosiek, C, Schulte, R W, Seco, J

“…This work provides a quantitative assessment of helium ion CT (HeCT) for particle therapy treatment planning. For the first time, HeCT based range prediction…”
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An Intentionally-Overfitting Automatic Contour Quality Assurance Tool for Auto-Segmentation in MR-Guided Online Adaptive Radiotherapy by Zhang, Y., Zarenia, M., Sarosiek, C., Amjad, A., Conlin, R., Erickson, B.A., Hall, W.A., Paulson, E.S.

“…Deep-learning based auto-segmentation (DLAS) techniques have been gradually introduced into the clinic to enhance the efficiency of the contouring process. The…”
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Re-Evaluating the Necessity of Pre-Processing Magnetic Resonance Images for Deep Learning-Based Organ Segmentation: A Study on Segmentation Challenges Using MR-Linac Images by Amjad, A., Sarosiek, C., Zhang, Y., Conlin, R., Zarenia, M., Erickson, B.A., Hall, W.A., Paulson, E.S.

“…Magnetic resonance images (MRIs) often undergo pre-processing, including bias field removal, filtering, and histogram matching or intensity normalization prior…”
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Impact of Deep Learning Auto Segmentation Accuracy on Duodenal Dose-Volume Parameters for Pancreas SBRT Patients Treated with MR-Guided Online Adaptive Radiotherapy by Conlin, R., Amjad, A., Zhang, Y., Erickson, B.A., Hall, W.A., Sarosiek, C., Zarenia, M., Paulson, E.S.

“…The time efficiency of online adaptive radiotherapy in the abdomen can be challenged by long contour editing times. However, as the time consumed to manually…”
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Class-Based Automatic Contour Correction Method for MR-Guided Online Adaptive Radiotherapy on a MR-Linac by Sarosiek, C., Zhang, Y., Amjad, A., Zarenia, M., Conlin, R., Erickson, B.A., Hall, W.A., Paulson, E.S.

“…MR-guided online adaptive radiotherapy (MRgOART) relies on fast and accurate contouring methods to adapt treatment plans to patient daily anatomies. Deep…”
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Multiplexed Deformable Contour Propagation and Deep Learning Auto Segmentation Using Automatic Contour Quality Assurance for Abdominal MR-Guided Online Adaptive Radiotherapy by Zarenia, M., Zhang, Y., Conlin, R., Sarosiek, C., Amjad, A., Paulson, E.S.

“…Fast and accurate auto-segmentation is crucial for MR-guided online adaptive radiation therapy (MRgOART). While Deep Learning Auto-Segmentation (DLAS) methods…”
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Organ Specific Deep Learning-Based Correction of Inaccurate Auto-Segmentation on Abdominal MRI by Sarosiek, C., Zhang, Y., Ding, J., Amjad, A., Dang, N.P., Zarenia, M., Conlin, R., Li, A.

“…Deep learning-based automatic segmentation (DLAS) techniques offer limited success for abdominal organs on MRI, requiring substantial editing time. We have…”
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Auto-Correction for Inaccurate Auto-Segmentation of Abdominal MRI by Combining Deep Learning and Active Contour Method by Zarenia, M., Zhang, Y., Ding, J., Sarosiek, C., Amjad, A., Dang, N.P., Conlin, R., Li, A.

“…Fast and accurate auto-segmentation is crucial during the magnetic resonance-guided adaptive radiation therapy (MRgART). Deep learning auto-segmentation (DLAS)…”
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A Multi-Layer Auto-Segmentation Quality Assurance and Correction Pipeline for MR-Guided Adaptive Radiotherapy by Zhang, Y., Amjad, A., Ding, J., Dang, N.P., Sarosiek, C., Li, A.

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Clinical Usability-Oriented Automatic Contour Quality Evaluation for Deep Learning Auto-Segmentation by Zhang, Y., Amjad, A., Ding, J., Sarosiek, C., Zarenia, M., Conlin, R., Dang, N.P., Hall, W.A., Erickson, B.A., Paulson, E.S., Li, A.

“…Various auto-segmentations, including deep learning auto-segmentation (DLAS), are being increasingly adopted in radiotherapy. A common method to evaluate…”
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Comparative accuracy and resolution assessment of two prototype proton computed tomography scanners by Dedes, George, Drosten, Hubertus, Götz, Stefanie, Dickmann, Jannis, Sarosiek, Christina, Pankuch, Mark, Krah, Nils, Rit, Simon, Bashkirov, Vladimir, Schulte, Reinhard W., Johnson, Robert P., Parodi, Katia, DeJongh, Ethan, Landry, Guillaume

“…BackgroundImproving the accuracy of relative stopping power (RSP) in proton therapy may allow reducing range margins. Proton computed tomography (pCT) has been…”
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PO-1615: Detection and analysis of scattered protons for verification of FLASH lung tumor proton therapy by Garbacz, M., Schulte, R., Bashkirov, V., Gao, M., Pankuch, M., Sarosiek, C., Johnson, R.P., Ramos Mendez, J., Rucinski, A., Olko, P.

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PO-1706: Low dose fluence-modulated proton CT: simulation study and first experimental results by Dickmann, J., Sarosiek, C., Coutrakon, G., Rit, S., Detrich, N., Rykalin, V., Pankuch, M., Johnson, R.P., Schulte, R.W., Parodi, K., Dedes, G., Landry, G.

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