Literature DB >> 24925891

Digital anthropomorphic phantoms of non-rigid human respiratory and voluntary body motion for investigating motion correction in emission imaging.

Arda Könik1, Caitlin M Connolly, Karen L Johnson, Paul Dasari, Paul W Segars, P H Pretorius, Clifford Lindsay, Joyoni Dey, Michael A King.   

Abstract

The development of methods for correcting patient motion in emission tomography has been receiving increased attention. Often the performance of these methods is evaluated through simulations using digital anthropomorphic phantoms, such as the commonly used extended cardiac torso (XCAT) phantom, which models both respiratory and cardiac motion based on human studies. However, non-rigid body motion, which is frequently seen in clinical studies, is not present in the standard XCAT phantom. In addition, respiratory motion in the standard phantom is limited to a single generic trend. In this work, to obtain a more realistic representation of motion, we developed a series of individual-specific XCAT phantoms, modeling non-rigid respiratory and non-rigid body motions derived from the magnetic resonance imaging (MRI) acquisitions of volunteers. Acquisitions were performed in the sagittal orientation using the Navigator methodology. Baseline (no motion) acquisitions at end-expiration were obtained at the beginning of each imaging session for each volunteer. For the body motion studies, MRI was again acquired only at end-expiration for five body motion poses (shoulder stretch, shoulder twist, lateral bend, side roll, and axial slide). For the respiratory motion studies, an MRI was acquired during free/regular breathing. The magnetic resonance slices were then retrospectively sorted into 14 amplitude-binned respiratory states, end-expiration, end-inspiration, six intermediary states during inspiration, and six during expiration using the recorded Navigator signal. XCAT phantoms were then generated based on these MRI data by interactive alignment of the organ contours of the XCAT with the MRI slices using a graphical user interface. Thus far we have created five body motion and five respiratory motion XCAT phantoms from the MRI acquisitions of six healthy volunteers (three males and three females). Non-rigid motion exhibited by the volunteers was reflected in both respiratory and body motion phantoms with a varying extent and character for each individual. In addition to these phantoms, we recorded the position of markers placed on the chest of the volunteers for the body motion studies, which could be used as external motion measurement. Using these phantoms and external motion data, investigators will be able to test their motion correction approaches for realistic motion obtained from different individuals. The non-uniform rational B-spline data and the parameter files for these phantoms are freely available for downloading and can be used with the XCAT license.

Entities:  

Mesh:

Year:  2014        PMID: 24925891      PMCID: PMC4082965          DOI: 10.1088/0031-9155/59/14/3669

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  27 in total

1.  A mathematical model of motion of the heart for use in generating source and attenuation maps for simulating emission imaging.

Authors:  P H Pretorius; M A King; B M Tsui; K J LaCroix; W Xia
Journal:  Med Phys       Date:  1999-11       Impact factor: 4.071

2.  Estimation of Rigid-Body and Respiratory Motion of the Heart From Marker-Tracking Data for SPECT Motion Correction.

Authors:  Joyeeta Mitra Mukherjee; Joseph E McNamara; Karen L Johnson; Joyoni Dey; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2009-02       Impact factor: 1.679

3.  Adaptation and applications of a realistic digital phantom based on patient lung tumor trajectories.

Authors:  Pankaj Mishra; Sara St James; W Paul Segars; Ross I Berbeco; John H Lewis
Journal:  Phys Med Biol       Date:  2012-06-07       Impact factor: 3.609

4.  4D XCAT phantom for multimodality imaging research.

Authors:  W P Segars; G Sturgeon; S Mendonca; Jason Grimes; B M W Tsui
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

5.  Estimation and correction of cardiac respiratory motion in SPECT in the presence of limited-angle effects due to irregular respiration.

Authors:  Joyoni Dey; William P Segars; P Hendrik Pretorius; Ronn P Walvick; Philippe P Bruyant; Seth Dahlberg; Michael A King
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

6.  Respiratory motion correction in 3-D PET data with advanced optical flow algorithms.

Authors:  Mohammad Dawood; Florian Buther; Xiaoyi Jiang; Klaus P Schafers
Journal:  IEEE Trans Med Imaging       Date:  2008-08       Impact factor: 10.048

7.  The indirect use of CT numbers to establish material properties needed for Monte Carlo calculation of dose distributions in patients.

Authors:  F C du Plessis; C A Willemse; M G Lötter; L Goedhals
Journal:  Med Phys       Date:  1998-07       Impact factor: 4.071

8.  A Robust Visual Tracking System for Patient Motion Detection in SPECT: Hardware Solutions.

Authors:  Philippe P Bruyant; Michael A Gennert; Glen C Speckert; Richard D Beach; Joel D Morgenstern; Neeru Kumar; Suman Nadella; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2005-10       Impact factor: 1.679

9.  Practical aspects of a data-driven motion correction approach for brain SPECT.

Authors:  Andre Z Kyme; Brian F Hutton; Rochelle L Hatton; David W Skerrett; Leighton R Barnden
Journal:  IEEE Trans Med Imaging       Date:  2003-06       Impact factor: 10.048

10.  Realistic CT simulation using the 4D XCAT phantom.

Authors:  W P Segars; M Mahesh; T J Beck; E C Frey; B M W Tsui
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

View more
  4 in total

1.  Development of a new Python-based cardiac phantom for myocardial SPECT imaging.

Authors:  Osama S Hanafy; Magdy M Khalil; Ibrahim M Khater; Haitham S Mohammed
Journal:  Ann Nucl Med       Date:  2020-10-17       Impact factor: 2.668

Review 2.  An update on computational anthropomorphic anatomical models.

Authors:  Azadeh Akhavanallaf; Hadi Fayad; Yazdan Salimi; Antar Aly; Hassan Kharita; Huda Al Naemi; Habib Zaidi
Journal:  Digit Health       Date:  2022-07-11

3.  An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging.

Authors:  Joyeeta Mitra Mukherjee; Brian F Hutton; Karen L Johnson; P Hendrik Pretorius; Michael A King
Journal:  Phys Med Biol       Date:  2013-10-10       Impact factor: 3.609

4.  Accuracy of SPECT/CT-based lung dose calculation for Holmium-166 hepatic radioembolization before OSEM convergence.

Authors:  Bastiaan J van Nierop; Jip F Prince; Rob van Rooij; Maurice A A J van den Bosch; Marnix G E H Lam; Hugo W A M de Jong
Journal:  Med Phys       Date:  2018-06-01       Impact factor: 4.071

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.