Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect

M. S. Smyczynski, H. C. Gifford, T. H. Farncombe, W. P. Segars, Benjamin Tsui, M. A. King

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have previously modeled the respiratory motion of solitary pulmonary nodules (SPN) based on the change of location of anatomic structures within the lungs identified on breath-held CT images of volunteers acquired at two different stages of respiration. The goal of this investigation is to make use of this modeling to investigate the impact of respiratory motion on the detection of solitary pulmonary nodules with single photon emission computed tomographic (SPECT) imaging using Tc-99m labeled NeoTect. To do this, end-expiration and respiration-averaged source and attenuation maps were created from the NCAT phantom and input to the SIMIND Monte Carlo package. Normal and SPECT projection sets containing lesions at 75 different locations were created with a clinically realistic noise level. One third of the locations were in the superior, middle, and inferior portion of the lungs to allow assessment of detection accuracy relative to the regional site of the lesion. These are reconstructed with filtered backprojection followed by 3D post-Butterworth filtering and with RBI using attenuation, scatter and resolution compensation followed by 3D post-Gaussian filtering. Herein, we report on the optimization of the reconstruction parameters by numerical-observer studies. Comparison of lesion detection by human-observer localization receiver operating characteristics (LROC) studies will then be made as a function of reconstruction strategy and lesion location, and for with and without the presence of respiratory motion.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
EditorsS. Metzler
Pages838-841
Number of pages4
Volume2
StatePublished - 2002
Event2002 IEEE Nuclear Science Symposium Conference Record - Norfolk, VA, United States
Duration: Nov 10 2002Nov 16 2002

Other

Other2002 IEEE Nuclear Science Symposium Conference Record
CountryUnited States
CityNorfolk, VA
Period11/10/0211/16/02

Fingerprint

Tumors
Photons
Imaging techniques

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Smyczynski, M. S., Gifford, H. C., Farncombe, T. H., Segars, W. P., Tsui, B., & King, M. A. (2002). Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect. In S. Metzler (Ed.), IEEE Nuclear Science Symposium and Medical Imaging Conference (Vol. 2, pp. 838-841)

Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect. / Smyczynski, M. S.; Gifford, H. C.; Farncombe, T. H.; Segars, W. P.; Tsui, Benjamin; King, M. A.

IEEE Nuclear Science Symposium and Medical Imaging Conference. ed. / S. Metzler. Vol. 2 2002. p. 838-841.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smyczynski, MS, Gifford, HC, Farncombe, TH, Segars, WP, Tsui, B & King, MA 2002, Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect. in S Metzler (ed.), IEEE Nuclear Science Symposium and Medical Imaging Conference. vol. 2, pp. 838-841, 2002 IEEE Nuclear Science Symposium Conference Record, Norfolk, VA, United States, 11/10/02.
Smyczynski MS, Gifford HC, Farncombe TH, Segars WP, Tsui B, King MA. Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect. In Metzler S, editor, IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 2. 2002. p. 838-841
Smyczynski, M. S. ; Gifford, H. C. ; Farncombe, T. H. ; Segars, W. P. ; Tsui, Benjamin ; King, M. A. / Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect. IEEE Nuclear Science Symposium and Medical Imaging Conference. editor / S. Metzler. Vol. 2 2002. pp. 838-841
@inproceedings{c6628986749c4872874846e731165bcf,
title = "Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect",
abstract = "We have previously modeled the respiratory motion of solitary pulmonary nodules (SPN) based on the change of location of anatomic structures within the lungs identified on breath-held CT images of volunteers acquired at two different stages of respiration. The goal of this investigation is to make use of this modeling to investigate the impact of respiratory motion on the detection of solitary pulmonary nodules with single photon emission computed tomographic (SPECT) imaging using Tc-99m labeled NeoTect. To do this, end-expiration and respiration-averaged source and attenuation maps were created from the NCAT phantom and input to the SIMIND Monte Carlo package. Normal and SPECT projection sets containing lesions at 75 different locations were created with a clinically realistic noise level. One third of the locations were in the superior, middle, and inferior portion of the lungs to allow assessment of detection accuracy relative to the regional site of the lesion. These are reconstructed with filtered backprojection followed by 3D post-Butterworth filtering and with RBI using attenuation, scatter and resolution compensation followed by 3D post-Gaussian filtering. Herein, we report on the optimization of the reconstruction parameters by numerical-observer studies. Comparison of lesion detection by human-observer localization receiver operating characteristics (LROC) studies will then be made as a function of reconstruction strategy and lesion location, and for with and without the presence of respiratory motion.",
author = "Smyczynski, {M. S.} and Gifford, {H. C.} and Farncombe, {T. H.} and Segars, {W. P.} and Benjamin Tsui and King, {M. A.}",
year = "2002",
language = "English (US)",
volume = "2",
pages = "838--841",
editor = "S. Metzler",
booktitle = "IEEE Nuclear Science Symposium and Medical Imaging Conference",

}

TY - GEN

T1 - Impact of respiratory motion on the detection of solitary pulmonary nodules with SPECT tumor imaging of NeoTect

AU - Smyczynski, M. S.

AU - Gifford, H. C.

AU - Farncombe, T. H.

AU - Segars, W. P.

AU - Tsui, Benjamin

AU - King, M. A.

PY - 2002

Y1 - 2002

N2 - We have previously modeled the respiratory motion of solitary pulmonary nodules (SPN) based on the change of location of anatomic structures within the lungs identified on breath-held CT images of volunteers acquired at two different stages of respiration. The goal of this investigation is to make use of this modeling to investigate the impact of respiratory motion on the detection of solitary pulmonary nodules with single photon emission computed tomographic (SPECT) imaging using Tc-99m labeled NeoTect. To do this, end-expiration and respiration-averaged source and attenuation maps were created from the NCAT phantom and input to the SIMIND Monte Carlo package. Normal and SPECT projection sets containing lesions at 75 different locations were created with a clinically realistic noise level. One third of the locations were in the superior, middle, and inferior portion of the lungs to allow assessment of detection accuracy relative to the regional site of the lesion. These are reconstructed with filtered backprojection followed by 3D post-Butterworth filtering and with RBI using attenuation, scatter and resolution compensation followed by 3D post-Gaussian filtering. Herein, we report on the optimization of the reconstruction parameters by numerical-observer studies. Comparison of lesion detection by human-observer localization receiver operating characteristics (LROC) studies will then be made as a function of reconstruction strategy and lesion location, and for with and without the presence of respiratory motion.

AB - We have previously modeled the respiratory motion of solitary pulmonary nodules (SPN) based on the change of location of anatomic structures within the lungs identified on breath-held CT images of volunteers acquired at two different stages of respiration. The goal of this investigation is to make use of this modeling to investigate the impact of respiratory motion on the detection of solitary pulmonary nodules with single photon emission computed tomographic (SPECT) imaging using Tc-99m labeled NeoTect. To do this, end-expiration and respiration-averaged source and attenuation maps were created from the NCAT phantom and input to the SIMIND Monte Carlo package. Normal and SPECT projection sets containing lesions at 75 different locations were created with a clinically realistic noise level. One third of the locations were in the superior, middle, and inferior portion of the lungs to allow assessment of detection accuracy relative to the regional site of the lesion. These are reconstructed with filtered backprojection followed by 3D post-Butterworth filtering and with RBI using attenuation, scatter and resolution compensation followed by 3D post-Gaussian filtering. Herein, we report on the optimization of the reconstruction parameters by numerical-observer studies. Comparison of lesion detection by human-observer localization receiver operating characteristics (LROC) studies will then be made as a function of reconstruction strategy and lesion location, and for with and without the presence of respiratory motion.

UR - http://www.scopus.com/inward/record.url?scp=0142241251&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0142241251&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0142241251

VL - 2

SP - 838

EP - 841

BT - IEEE Nuclear Science Symposium and Medical Imaging Conference

A2 - Metzler, S.

ER -