Modeling the Respiratory Motion of Solitary Pulmonary Nodules and Determining the Impact of Respiratory Motion on Their Detection in SPECT Imaging

Mark S Smyczynski; Howard C Gifford; Andre Lehovich; Joseph E McNamara; W. Paul Segars; Eric A Hoffman; Benjamin M. W Tsui; Michael A King

doi:10.1109/TNS.2015.2512840

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Modeling the Respiratory Motion of Solitary Pulmonary Nodules and Determining the Impact of Respiratory Motion on Their Detection in SPECT Imaging

Journal article

Peer reviewed

Modeling the Respiratory Motion of Solitary Pulmonary Nodules and Determining the Impact of Respiratory Motion on Their Detection in SPECT Imaging

Mark S Smyczynski, Howard C Gifford, Andre Lehovich, Joseph E McNamara, W. Paul Segars, Eric A Hoffman, Benjamin M. W Tsui and Michael A King

IEEE transactions on nuclear science, Vol.63(1), pp.117-129

02/2016

DOI: 10.1109/TNS.2015.2512840

PMCID: PMC4863470

PMID: 27182079

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Abstract

The objectives of this investigation were to model the respiratory motion of solitary pulmonary nodules (SPN) and then use this model to determine the impact of respiratory motion on the localization and detection of small SPN in SPECT imaging for four reconstruction strategies. The respiratory motion of SPN was based on that of normal anatomic structures in the lungs determined from breath-held CT images of a volunteer acquired at two different stages of respiration. End-expiration (EE) and time-averaged (Frame Av) non-uniform-B-spline cardiac torso (NCAT) digital-anthropomorphic phantoms were created using this information for respiratory motion within the lungs. SPN were represented as 1 cm diameter spheres which underwent linear motion during respiration between the EE and end-inspiration (EI) time points. The SIMIND Monte Carlo program was used to produce SPECT projection data simulating Tc-99 m depreotide (NeoTect) imaging. The projections were reconstructed using 1) no correction (NC), 2) attenuation correction (AC), 3) resolution compensation (RC), and 4) attenuation correction, scatter correction, and resolution compensation (AC_SC_RC). A human-observer localization receiver operating characteristics (LROC) study was then performed to determine the difference in localization and detection accuracy with and without the presence of respiratory motion. The LROC comparison determined that respiratory motion degrades tumor detection for all four reconstruction strategies, thus correction for SPN motion would be expected to improve detection accuracy. The inclusion of RC in reconstruction improved detection accuracy for both EE and Frame Av over NC and AC. Also the magnitude of the impact of motion was least for AC_SC_RC.

Lungs

Phantoms

simulation

Image generation

image quality assessment

Single photon emission computed tomography

SPECT data quantification and correction methods

Image reconstruction

Details

Title: Subtitle: Modeling the Respiratory Motion of Solitary Pulmonary Nodules and Determining the Impact of Respiratory Motion on Their Detection in SPECT Imaging
Creators: Mark S Smyczynski - Dept. of Radiol., Med. Sch., Univ. of Massachusetts, Worcester, MA, USA
Howard C Gifford - Biomed. Eng. Dept., Univ. of Houston, Houston, TX, USA
Andre Lehovich - Dept. of Radiol., Med. Sch., Univ. of Massachusetts, Worcester, MA, USA
Joseph E McNamara - Signature Sci. LLC, Egg Harbor Township, NJ, USA
W. Paul Segars - Duke Adv. Imaging Labs., Duke Univ. Med. Center, Durham, NC, USA
Eric A Hoffman - Dept. of Radiol., Univ. of Iowa, Iowa City, IA, USA
Benjamin M. W Tsui - Dept. of Radiol., Johns Hopkins Univ., Baltimore, MD, USA
Michael A King - Dept. of Radiol., Med. Sch., Univ. of Massachusetts, Worcester, MA, USA
Resource Type: Journal article
Publication Details: IEEE transactions on nuclear science, Vol.63(1), pp.117-129
DOI: 10.1109/TNS.2015.2512840
PMID: 27182079
PMCID: PMC4863470
NLM abbreviation: IEEE Trans Nucl Sci
ISSN: 0018-9499
eISSN: 1558-1578
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Grant note: R01 EB001457 / National Institute of Biomedical Imaging and Bioengineering; National Institute of Biomedical Imaging and Bioengineering (NIBIB) (10.13039/100000070)
Language: English
Date published: 02/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984051988502771

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