Literature DB >> 12804045

Calibration of a radioactive ink-based stack phantom and its applications in nuclear medicine.

H El-Ali1, M Ljungberg, S-E Strand, J Palmer, L Malmgren, J Nilsson.   

Abstract

This paper describes a stack phantom useful for imaging complex activity distributions. It is based on images printed with radioactive ink using a commercial ink-jet printer. The application for the phantom is in the evaluation of planar and SPECT scintillation camera images and for validation of Monte Carlo simulated images. The accuracy in generating the activity distributions on paper sheets is especially important. Here we describe the calibration procedure for the ink-jet printer. The goal of the printer calibration is to find the relationship between the digital image count (voxel grey level) and its corresponding activity on the paper sheets (radioactivity). The relationship between the voxel grey level and the radioactivity on the paper sheets (measured by scanning technique and well counter) was found to be logarithmic, and a 3rd degree polynomial was found to fit the relationship. The distribution of radioactivity in the ink cartridge was investigated by pinhole SPECT. The distribution of (99m)Tc solution was found to be homogeneous in the ink solution. Experimental studies were done directly on Monte Carlo simulated heart images from the NCAT phantom. The result showed that the simulated images are similar to the images measured using the ink-jet technique. This stack phantom could be a promising solution with an advantage that the exact geometry generated in Monte Carlo could be imitated in the phantom. The phantom is a very flexible device and clearly much more versatile than conventional phantoms which have a fixed geometry and spatial limitation.

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Year:  2003        PMID: 12804045     DOI: 10.1089/108497803765036364

Source DB:  PubMed          Journal:  Cancer Biother Radiopharm        ISSN: 1084-9785            Impact factor:   3.099


  2 in total

1.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

2.  Activity painting: PET images of freely defined activity distributions applying a novel phantom technique.

Authors:  Attila Forgacs; Piroska Kallos-Balogh; Ferenc Nagy; Aron K Krizsan; Ildiko Garai; Lajos Tron; Magnus Dahlbom; Laszlo Balkay
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

  2 in total

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