Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines.
about
Image registration and data fusion in radiation therapy.Deformable registration of 4D computed tomography data.Sliding characteristic and material compressibility of human lung: parametric study and verificationDeformable image registration of heterogeneous human lung incorporating the bronchial tree.Validation of an elastic registration technique to estimate anatomical lung modification in non-small-cell lung cancer tomotherapy.3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion modelsLocating the reference point of symphysis pubis in axial CT images.Evaluation of deformable image registration and a motion model in CT images with limited features.Lung texture in serial thoracic CT scans: assessment of change introduced by image registration.Computed tomography studies of lung mechanicsDeformable registration of the inflated and deflated lung in cone-beam CT-guided thoracic surgery: initial investigation of a combined model- and image-driven approachFunctional imaging: CT and MRIEvaluation of anatomical landmark position differences between respiration-gated MRI and four-dimensional CT for radiation therapy in patients with hepatocellular carcinomaAnniversary paper: image processing and manipulation through the pages of Medical Physics.Feature-based rectal contour propagation from planning CT to cone beam CT.DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC.Nonrigid registration of lung CT images based on tissue features.Deformable image registration for cone-beam CT guided transoral robotic base-of-tongue surgery.Selecting registration schemes in case of interstitial lung disease follow-up in CT.Accelerated nonrigid intensity-based image registration using importance sampling.Quantifying the accuracy of automated structure segmentation in 4D CT images using a deformable image registration algorithm.Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information.Mass preserving nonrigid registration of CT lung images using cubic B-spline.A stochastic approach to estimate the uncertainty of dose mapping caused by uncertainties in b-spline registration.Quantification of regional deformation of the lungs by non-rigid registration of three-dimensional contrast-enhanced magnetic resonance imaging.Registration accuracy for MR images of the prostate using a subvolume based registration protocolComparison of intensity-modulated radiotherapy planning based on manual and automatically generated contours using deformable image registration in four-dimensional computed tomography of lung cancer patientsObjective assessment of deformable image registration in radiotherapy: a multi-institution study.Development and validation of automated 2D-3D bronchial airway matching to track changes in regional bronchial morphology using serial low-dose chest CT scans in children with chronic lung diseaseA cubic B-spline-based hybrid registration of lung CT images for a dynamic airway geometric model with large deformation.Evaluation of deformable registration of patient lung 4DCT with subanatomical region segmentations.Shading correction for on-board cone-beam CT in radiation therapy using planning MDCT images.New algorithm to simulate organ movement and deformation for four-dimensional dose calculation based on a three-dimensional CT and fluoroscopy of the thorax.Model-independent, multimodality deformable image registration by local matching of anatomical features and minimization of elastic energy.A two-dimensional deformable phantom for quantitatively verifying deformation algorithms.Evaluation of nonrigid registration models for interfraction dose accumulation in radiotherapy.Radiation dose reduction in four-dimensional computed tomography.Reducing respiratory motion artifacts in positron emission tomography through retrospective stacking.Image registration with auto-mapped control volumes.Performance of commercially available deformable image registration platforms for contour propagation using patient-based computational phantoms: A multi-institutional study.
P2860
Q31061316-CAFD5E20-9130-411A-BB79-99F179E1D766Q31083443-85DCE33B-9D17-4DEC-A703-0898E7AEAF2FQ33780640-E07B85F3-5A14-46DE-B313-A47558643AEEQ34103597-48321CE4-2A4E-48D8-A04B-0241BFC53028Q34980794-A0856EEE-8E9D-4825-BDE7-96AD057171D9Q35609872-120DE326-9EDF-4043-A5F3-A6F8C838DAA9Q35690640-C3F12B7E-38A1-4FE9-BF35-A012E891A662Q35950027-874733FB-24DA-4612-B338-747B3225DEF6Q36139219-E39F1C3C-B65E-4D1E-984F-4A036DAA55DBQ36341215-BA1F2ADB-D9BA-4305-A7B9-B50E4A1758B1Q36510575-4747B2BD-10E8-44D8-8159-73A65D2341D8Q36731735-E648E551-77E1-40E9-BB06-B42BF5045D21Q36737059-D376E411-EE52-4D3C-9416-39C252D98818Q37314098-C50141B1-EDCC-41A5-9A91-129C5F1BE163Q37330511-5BC2C623-50A6-4175-B56D-F6CA46F9E4F7Q37352786-F02A7F11-D7EC-417B-BB1E-3F63A8AA6C23Q37353666-F47B2FCA-F562-49BF-ADB3-DCABC4971B0BQ38808302-8AD90128-29E2-4259-8D23-61FA8760B869Q40670498-7B1B58E2-B510-4124-ADCF-C9F4DB60E3B0Q41453052-32E4CFA8-F47A-4EDD-A3CB-2B57E6E4325EQ41868043-DDCF327C-E54D-4585-8778-8973C769D94FQ41935951-FF5608D9-EAAE-4452-97C8-2EB9F0A495DFQ41985968-49E77B41-5FA7-4FA7-ADAD-8A46ACAFACE6Q42058823-365F4E0D-63B9-4473-AEC2-0B6F220B8DFBQ42102576-6B47587B-5BA7-40EA-A2EF-A52B843CD0E3Q42114774-AA95055D-6CF8-4427-81E2-355136588DB5Q42117833-C25C1888-3613-4956-BB8D-6EF1C2CE66D5Q42122393-115EAA01-C5FE-4044-9393-85A7D7ECD307Q42135350-C3E79C82-E6A2-477C-9C38-BF404234AEC8Q42198144-656F8885-4135-45FE-82EB-24B0004F9E7DQ43427410-B9C3EB8E-DD2A-48F3-B785-006FF0644816Q45404970-97A44B53-46D6-4AA3-A42E-45FDC8460AF5Q45762954-F719B8D8-7220-4C64-9E9F-854AB0ED3803Q45798921-ABAEB214-F313-46A0-B858-7C5197EEE0E0Q45975807-2D4AFEA6-3BBD-4057-BEAA-67DF96177C85Q46079904-CCDA58B3-DB5B-4902-90D5-048AFADC9CB5Q46177197-71E7B125-9F1C-43F0-9E8D-12C710E0DDC9Q46515241-71165330-9B25-41BF-B111-B3C8AEF0BBBFQ46963147-A1082D5E-11FF-4E01-801F-5B1A98476CAAQ47269671-5EBF07A9-3961-44F6-8CA3-468F30C8B006
P2860
Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Mutual information based CT re ...... ates using thin-plate splines.
@en
type
label
Mutual information based CT re ...... ates using thin-plate splines.
@en
prefLabel
Mutual information based CT re ...... ates using thin-plate splines.
@en
P2093
P2860
P356
P1433
P1476
Mutual information based CT re ...... ates using thin-plate splines.
@en
P2093
Daniel L McShan
James M Balter
Marc L Kessler
Martha M Coselmon
P2860
P304
P356
10.1118/1.1803671
P407
P577
2004-11-01T00:00:00Z