Image Deformation and IGRT
Sophisticated IGRT (Image Guided Radiotherapy) techniques require us to deform CT, MR and US images to match previous images of the same patient or to match an atlas in order to transfer atlas-embedded information back to a specific patient’s images. Although no one has solved this complex issue in the general case, specific solutions enable us to treat some tumors more effectively than ever before.
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Prostate IGRT using Deformable Image Registration
Goal: deform prostate to avoid high dose to the anterior wall of the rectum
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Software toolkit for multi-image registration and segmentation
Goal: create a free application for segmentation and registration of image sequences in IGRT and ART.
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Develop resources for external users of PLanUNC
Goal: provide PLanUNC source code to any researcher who wants to enhance it for their own radiotherapy experiments.
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TRUS augmented by MRI/MRSI for prostate interventions
Goal: merge US with MR to visualize targets for biopsy needles, radioactive seeds and ablation instruments.
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Radiation treatment under respiratory motion
Goal: predict a patient’s breathing cycle to account for motion during planning and treatment
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Automatic segmentation of the male pelvis for IGRT and ART
Goal: to reduce user variability that can affect clinical decisions by statistically training shape models representing internal organs for better targeting.
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Mechanical deformation FEM of the prostate caused by endorectal imaging probes (IGRT, ART)
M-reps provide a framework for automatically building 3D hexahedral meshes to compute physically correct mechanical deformations via the Finite Element Method (FEM). This approach is being used in clinical studies involving CT and MR images for brachytherapy dosimetry by collaborators at Memorial Sloan Kettering Cancer Center.
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Chera/Rosenman/Fried paper: Pre-treatment PET and chemoradiotherapy
Paper accept in Head & Neck
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Higginson paper: SBRT innovations
Paper published
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Pizer named MICCAI fellow
Pizer is recognized for his contributions to the field of medical image computing.
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Tepper paper: IMRT and cisplatin study published in IJROBP
Phase II Trial for Stage III and IVa Head and Neck Cancer