Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts

John Jones, Emma Lewis, Ashrani Aizzuddin Abd Rahni, Veni Ezhil, Kevin Wells

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

2 Citations (Scopus)

Abstract

Nuclear Medicine (NM) imaging is an important diagnostic tool, used widely in the field of oncology amongst others. However, NM images suffer from significant blurring due to inevitable patient motion, such as breathing, coughing and other voluntary or involuntary movement. Advances in detector technology and reconstruction techniques have led to a steady improvement in NM spatial resolution and the problems posed by patient motion are therefore becoming increasingly significant, particularly for PET/CT. Many correction schemes will require gated images to be aligned. This paper describes a method of registering major organs in piecewise fashion called virtual dissection. Results from processing synthetic data and one set of patient data are presented. A key feature is the possibility to use a mixture of registration techniques on a single set of data and combine the results into a single set of output images.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages3066-3072
Number of pages7
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011 - Valencia
Duration: 23 Oct 201129 Oct 2011

Other

Other2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
CityValencia
Period23/10/1129/10/11

Fingerprint

nuclear medicine
Nuclear Medicine
breathing
Artifacts
artifacts
Respiration
polynomials
dissection
blurring
Dyskinesias
organs
Dissection
spatial resolution
Technology
output
detectors
Datasets

Keywords

  • AIR
  • blurring
  • breathing
  • ICP
  • NCAT
  • PET
  • registration
  • SPECT
  • XCAT

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Jones, J., Lewis, E., Abd Rahni, A. A., Ezhil, V., & Wells, K. (2012). Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts. In IEEE Nuclear Science Symposium Conference Record (pp. 3066-3072). [6152555] https://doi.org/10.1109/NSSMIC.2011.6152555

Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts. / Jones, John; Lewis, Emma; Abd Rahni, Ashrani Aizzuddin; Ezhil, Veni; Wells, Kevin.

IEEE Nuclear Science Symposium Conference Record. 2012. p. 3066-3072 6152555.

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

Jones, J, Lewis, E, Abd Rahni, AA, Ezhil, V & Wells, K 2012, Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts. in IEEE Nuclear Science Symposium Conference Record., 6152555, pp. 3066-3072, 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011, Valencia, 23/10/11. https://doi.org/10.1109/NSSMIC.2011.6152555
Jones J, Lewis E, Abd Rahni AA, Ezhil V, Wells K. Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts. In IEEE Nuclear Science Symposium Conference Record. 2012. p. 3066-3072. 6152555 https://doi.org/10.1109/NSSMIC.2011.6152555
Jones, John ; Lewis, Emma ; Abd Rahni, Ashrani Aizzuddin ; Ezhil, Veni ; Wells, Kevin. / Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts. IEEE Nuclear Science Symposium Conference Record. 2012. pp. 3066-3072
@inproceedings{7f59d42a03164341ba19e79e585c07b2,
title = "Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts",
abstract = "Nuclear Medicine (NM) imaging is an important diagnostic tool, used widely in the field of oncology amongst others. However, NM images suffer from significant blurring due to inevitable patient motion, such as breathing, coughing and other voluntary or involuntary movement. Advances in detector technology and reconstruction techniques have led to a steady improvement in NM spatial resolution and the problems posed by patient motion are therefore becoming increasingly significant, particularly for PET/CT. Many correction schemes will require gated images to be aligned. This paper describes a method of registering major organs in piecewise fashion called virtual dissection. Results from processing synthetic data and one set of patient data are presented. A key feature is the possibility to use a mixture of registration techniques on a single set of data and combine the results into a single set of output images.",
keywords = "AIR, blurring, breathing, ICP, NCAT, PET, registration, SPECT, XCAT",
author = "John Jones and Emma Lewis and {Abd Rahni}, {Ashrani Aizzuddin} and Veni Ezhil and Kevin Wells",
year = "2012",
doi = "10.1109/NSSMIC.2011.6152555",
language = "English",
isbn = "9781467301183",
pages = "3066--3072",
booktitle = "IEEE Nuclear Science Symposium Conference Record",

}

TY - GEN

T1 - Mosaics of polynomial transformations giving a patient specific registration to reduce breathing motion artefacts

AU - Jones, John

AU - Lewis, Emma

AU - Abd Rahni, Ashrani Aizzuddin

AU - Ezhil, Veni

AU - Wells, Kevin

PY - 2012

Y1 - 2012

N2 - Nuclear Medicine (NM) imaging is an important diagnostic tool, used widely in the field of oncology amongst others. However, NM images suffer from significant blurring due to inevitable patient motion, such as breathing, coughing and other voluntary or involuntary movement. Advances in detector technology and reconstruction techniques have led to a steady improvement in NM spatial resolution and the problems posed by patient motion are therefore becoming increasingly significant, particularly for PET/CT. Many correction schemes will require gated images to be aligned. This paper describes a method of registering major organs in piecewise fashion called virtual dissection. Results from processing synthetic data and one set of patient data are presented. A key feature is the possibility to use a mixture of registration techniques on a single set of data and combine the results into a single set of output images.

AB - Nuclear Medicine (NM) imaging is an important diagnostic tool, used widely in the field of oncology amongst others. However, NM images suffer from significant blurring due to inevitable patient motion, such as breathing, coughing and other voluntary or involuntary movement. Advances in detector technology and reconstruction techniques have led to a steady improvement in NM spatial resolution and the problems posed by patient motion are therefore becoming increasingly significant, particularly for PET/CT. Many correction schemes will require gated images to be aligned. This paper describes a method of registering major organs in piecewise fashion called virtual dissection. Results from processing synthetic data and one set of patient data are presented. A key feature is the possibility to use a mixture of registration techniques on a single set of data and combine the results into a single set of output images.

KW - AIR

KW - blurring

KW - breathing

KW - ICP

KW - NCAT

KW - PET

KW - registration

KW - SPECT

KW - XCAT

UR - http://www.scopus.com/inward/record.url?scp=84863419858&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863419858&partnerID=8YFLogxK

U2 - 10.1109/NSSMIC.2011.6152555

DO - 10.1109/NSSMIC.2011.6152555

M3 - Conference contribution

AN - SCOPUS:84863419858

SN - 9781467301183

SP - 3066

EP - 3072

BT - IEEE Nuclear Science Symposium Conference Record

ER -