Literature DB >> 23073343

A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology.

Kjell Erlandsson1, Irène Buvat, P Hendrik Pretorius, Benjamin A Thomas, Brian F Hutton.   

Abstract

Accurate quantification in PET and SPECT requires correction for a number of physical factors, such as photon attenuation, Compton scattering and random coincidences (in PET). Another factor affecting quantification is the limited spatial resolution. While considerable effort has gone into development of routine correction techniques for the former factors, less attention has been paid to the latter. Spatial resolution-related effects, referred to as 'partial volume effects' (PVEs), depend not only on the characteristics of the imaging system but also on the object and activity distribution. Spatial and/or temporal variations in PVE can often be confounding factors. Partial volume correction (PVC) could in theory be achieved by some kind of inverse filtering technique, reversing the effect of the system PSF. However, these methods are limited, and usually lead to noise-amplification or image artefacts. Some form of regularization is therefore needed, and this can be achieved using information from co-registered anatomical images, such as CT or MRI. The purpose of this paper is to enhance understanding of PVEs and to review possible approaches for PVC. We also present a review of clinical applications of PVC within the fields of neurology, cardiology and oncology, including specific examples.

Entities:  

Mesh:

Year:  2012        PMID: 23073343     DOI: 10.1088/0031-9155/57/21/R119

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


  122 in total

1.  Anatomical-based partial volume correction for low-dose dedicated cardiac SPECT/CT.

Authors:  Hui Liu; Chung Chan; Yariv Grobshtein; Tianyu Ma; Yaqiang Liu; Shi Wang; Mitchel R Stacy; Albert J Sinusas; Chi Liu
Journal:  Phys Med Biol       Date:  2015-08-21       Impact factor: 3.609

2.  Comparative analysis of iterative reconstruction algorithms with resolution recovery and time of flight modeling for 18F-FDG cardiac PET: A multi-center phantom study.

Authors:  Roberta Matheoud; Michela Lecchi; Domenico Lizio; Camilla Scabbio; Claudio Marcassa; Lucia Leva; Angelo Del Sole; Carlo Rodella; Luca Indovina; Christian Bracco; Marco Brambilla; Orazio Zoccarato
Journal:  J Nucl Cardiol       Date:  2016-01-12       Impact factor: 5.952

3.  Optimising delineation accuracy of tumours in PET for radiotherapy planning using blind deconvolution.

Authors:  A Guvenis; A Koc
Journal:  Radiat Prot Dosimetry       Date:  2015-04-01       Impact factor: 0.972

4.  Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT.

Authors:  Qingyi Liu; Hassan Mohy-Ud-Din; Nabil E Boutagy; Mingyan Jiang; Silin Ren; John C Stendahl; Albert J Sinusas; Chi Liu
Journal:  Phys Med Biol       Date:  2017-03-07       Impact factor: 3.609

5.  Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction.

Authors:  Georg Schramm; Martin Holler; Ahmadreza Rezaei; Kathleen Vunckx; Florian Knoll; Kristian Bredies; Fernando Boada; Johan Nuyts
Journal:  IEEE Trans Med Imaging       Date:  2018-02       Impact factor: 10.048

6.  Different partial volume correction methods lead to different conclusions: An (18)F-FDG-PET study of aging.

Authors:  Douglas N Greve; David H Salat; Spencer L Bowen; David Izquierdo-Garcia; Aaron P Schultz; Ciprian Catana; J Alex Becker; Claus Svarer; Gitte M Knudsen; Reisa A Sperling; Keith A Johnson
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

7.  Non-invasive measures of coronary microcirculation: Taking the long road to the clinic.

Authors:  Kieran S Chung; Patricia K Nguyen
Journal:  J Nucl Cardiol       Date:  2017-07-18       Impact factor: 5.952

Review 8.  Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

Authors:  Tonghe Wang; Yang Lei; Yabo Fu; Walter J Curran; Tian Liu; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med       Date:  2020-07-29       Impact factor: 2.685

9.  Performance Evaluation of G8, a High-Sensitivity Benchtop Preclinical PET/CT Tomograph.

Authors:  Zheng Gu; Richard Taschereau; Nam T Vu; David L Prout; Robert W Silverman; Jason T Lee; Arion F Chatziioannou
Journal:  J Nucl Med       Date:  2018-06-14       Impact factor: 10.057

10.  Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors.

Authors:  Ali Ketabi; Pardis Ghafarian; Mohammad Amin Mosleh-Shirazi; Seyed Rabi Mahdavi; Arman Rahmim; Mohammad Reza Ay
Journal:  Eur Radiol       Date:  2018-10-02       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.