about
Advances in 4D treatment planning for scanned particle beam therapy - report of dedicated workshopsImproving radiotherapy planning, delivery accuracy, and normal tissue sparing using cutting edge technologiesAdvances in 4D radiation therapy for managing respiration: part I - 4D imaging.Rapid estimation of 4DCT motion-artifact severity based on 1D breathing-surrogate periodicity.Evaluation of 4D CT acquisition methods designed to reduce artifacts.Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion modelEstimation of lung tumor position from multiple anatomical features on 4D-CT using multiple regression analysis.A tool for validating MRI-guided strategies: a digital breathing CT/MRI phantom of the abdominal site.Patient specific respiratory motion modeling using a 3D patient's external surface.Commissioning of an integrated platform for time-resolved treatment delivery in scanned ion beam therapy by means of optical motion monitoring.T2-weighted four dimensional magnetic resonance imaging with result-driven phase sorting.Assessment of a quantitative metric for 4D CT artifact evaluation by observer consensusLiver 4DMRI: A retrospective image-based sorting method.Prediction error and required internal margin provided for irregular respiratory movements: a phantom study.Evaluation of two synchronized external surrogates for 4D CT sorting.The effect of breathing irregularities on quantitative accuracy of respiratory gated PET∕CT.Assessment of a quantitative metric for 4D CT artifact evaluation by observer consensus.
P2860
Q26829381-D7939254-C2B6-4771-81CE-A5BD815EDB73Q26852685-48A36908-6C8D-448D-8583-9F2F061BB3A0Q34129251-291C802E-082A-4463-A0CE-2A4444F29B54Q34562941-79DE0EF4-800C-49C4-BA7F-878E44C5C1CCQ35857047-DA56D07E-E971-43DA-87C3-8004F16BDF49Q35989262-88AF6128-8151-4F4D-89EC-1254352F2BCFQ38702845-AC80125F-8A92-4CEA-8C75-C333B344A06BQ38846917-FA597140-54B6-4E28-91F1-4ADD6F5AF135Q39907126-895D4186-D1F1-431F-8549-D22980194B07Q40159104-86F8F1F9-0B64-47F6-973C-98602CF548C2Q40301653-66915E54-FEA0-4CAF-AE9B-0CC7BF4186BEQ40420960-D796A0E7-AC70-475F-913B-147549E20D85Q40670430-A4B7364A-1D6B-42BB-BB4A-EEC8ECFE8C97Q41068067-D7F8B99A-B8B3-4566-A60F-F990BA7E13CDQ43535453-38DBCCB7-1B89-4D13-A443-E1EC73B29189Q45376827-3F816C0A-83F8-496A-B373-56EF35046B0BQ55653480-AD2FDEDD-C0A4-4A0D-B3E4-B61038E3DB03
P2860
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
A multiple points method for 4D CT image sorting.
@en
A multiple points method for 4D CT image sorting.
@nl
type
label
A multiple points method for 4D CT image sorting.
@en
A multiple points method for 4D CT image sorting.
@nl
prefLabel
A multiple points method for 4D CT image sorting.
@en
A multiple points method for 4D CT image sorting.
@nl
P2093
P2860
P356
P1433
P1476
A multiple points method for 4D CT image sorting.
@en
P2093
Chiara Gianoli
Guido Baroni
Laura Lavinia Travaini
Mahila Ferrari
Maria Francesca Spadea
Riccardo Mei
Roberto Orecchia
P2860
P304
P356
10.1118/1.3538921
P407
P577
2011-02-01T00:00:00Z