PMID- 25086523
OWN - NLM
STAT- MEDLINE
DCOM- 20151020
LR  - 20220318
IS  - 2473-4209 (Electronic)
IS  - 0094-2405 (Print)
IS  - 0094-2405 (Linking)
VI  - 41
IP  - 8
DP  - 2014 Aug
TI  - An initial study on the estimation of time-varying volumetric treatment images 
      and 3D tumor localization from single MV cine EPID images.
PG  - 081713
LID - 10.1118/1.4889779 [doi]
LID - 081713
AB  - PURPOSE: In this work the authors develop and investigate the feasibility of a 
      method to estimate time-varying volumetric images from individual MV cine 
      electronic portal image device (EPID) images. METHODS: The authors adopt a 
      two-step approach to time-varying volumetric image estimation from a single cine 
      EPID image. In the first step, a patient-specific motion model is constructed 
      from 4DCT. In the second step, parameters in the motion model are tuned according 
      to the information in the EPID image. The patient-specific motion model is based 
      on a compact representation of lung motion represented in displacement vector 
      fields (DVFs). DVFs are calculated through deformable image registration (DIR) of 
      a reference 4DCT phase image (typically peak-exhale) to a set of 4DCT images 
      corresponding to different phases of a breathing cycle. The salient 
      characteristics in the DVFs are captured in a compact representation through 
      principal component analysis (PCA). PCA decouples the spatial and temporal 
      components of the DVFs. Spatial information is represented in eigenvectors and 
      the temporal information is represented by eigen-coefficients. To generate a new 
      volumetric image, the eigen-coefficients are updated via cost function 
      optimization based on digitally reconstructed radiographs and projection images. 
      The updated eigen-coefficients are then multiplied with the eigenvectors to 
      obtain updated DVFs that, in turn, give the volumetric image corresponding to the 
      cine EPID image. RESULTS: The algorithm was tested on (1) Eight digital eXtended 
      CArdiac-Torso phantom datasets based on different irregular patient breathing 
      patterns and (2) patient cine EPID images acquired during SBRT treatments. The 
      root-mean-squared tumor localization error is (0.73 +/- 0.63 mm) for the XCAT data 
      and (0.90 +/- 0.65 mm) for the patient data. CONCLUSIONS: The authors introduced a 
      novel method of estimating volumetric time-varying images from single cine EPID 
      images and a PCA-based lung motion model. This is the first method to estimate 
      volumetric time-varying images from single MV cine EPID images, and has the 
      potential to provide volumetric information with no additional imaging dose to 
      the patient.
FAU - Mishra, Pankaj
AU  - Mishra P
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
FAU - Li, Ruijiang
AU  - Li R
AD  - Department of Radiation Oncology, Stanford University School of Medicine, 
      Stanford, California 94305.
FAU - Mak, Raymond H
AU  - Mak RH
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
FAU - Rottmann, Joerg
AU  - Rottmann J
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
FAU - Bryant, Jonathan H
AU  - Bryant JH
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
FAU - Williams, Christopher L
AU  - Williams CL
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
FAU - Berbeco, Ross I
AU  - Berbeco RI
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
FAU - Lewis, John H
AU  - Lewis JH
AD  - Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical 
      School, Boston, Massachusetts 02115.
LA  - eng
GR  - K99 CA166186/CA/NCI NIH HHS/United States
GR  - 1K99CA166186/CA/NCI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Med Phys
JT  - Medical physics
JID - 0425746
SB  - IM
MH  - Algorithms
MH  - Computer Simulation
MH  - Diagnostic Imaging/*methods
MH  - Feasibility Studies
MH  - Humans
MH  - Lung/physiopathology
MH  - Lung Neoplasms/physiopathology/radiotherapy
MH  - Models, Biological
MH  - Motion
MH  - Principal Component Analysis
MH  - Radiotherapy Planning, Computer-Assisted/*methods
MH  - Respiration
MH  - Time
PMC - PMC4111839
EDAT- 2014/08/05 06:00
MHDA- 2015/10/21 06:00
PMCR- 2015/08/01
CRDT- 2014/08/04 06:00
PHST- 2014/08/04 06:00 [entrez]
PHST- 2014/08/05 06:00 [pubmed]
PHST- 2015/10/21 06:00 [medline]
PHST- 2015/08/01 00:00 [pmc-release]
AID - 032408MPH [pii]
AID - 1.4889779 [pii]
AID - 10.1118/1.4889779 [doi]
PST - ppublish
SO  - Med Phys. 2014 Aug;41(8):081713. doi: 10.1118/1.4889779.