A Comprehensive Clinical Decision Support Application Software Tool for Dose Management Procedure in SPECT

Authors(9) :-Issahaku Shirazu, Theophilus Sackey, Mary Boadu, Ernest Kojo Eduful, Edem Sosu, Francis Hasford, Awo Assasie-Gyimah, Theresa Bebaaku Dery, Mark Pokoo-Aikins

SPECT is a nuclear medicine tomographic imaging technique which uses gamma rays to produce images from a radioactive source. The source is either administered or injected into the patient and an attached computer process the information as an image. In medical imaging procedure, patients radiation dose are manage through appropriate dose optimisation protocol by various imaging centers. The protocol is designed to establish a balance between the injected activity and the quality of images produced. The aim of the study is to determine and design a GUI of the relationship between patient’s radiation dose from the injected activities and the image quality based on the signal to noise ratio. The study procedure involved three processes, the injected activities, which is administered to patients based on age, weight and gender, the process imaging technique based on image reconstruction method and the image quality, based on signal to noise ratio. Minitab statistical application tool was used to design a comprehensive clinical support application software based on mathematical model of patient’s preclinical information and administered activity. This was done by using experimental analytical modeling technique to determine BSI, from measured body height and weight based on age and gender. The Minitab regression modeling technique was then used to model the relationship between administered activities (potential patient dose) based on age and weight and image quality based on signal to noise ratio (SNR). So that with known patient’s height and weight and the injected activity, pre-imaging input parameters are determined, enabling dose estimate parameters to be predicted before the beginning of the imaging procedure. These were done in order to predict the expected SNR that will be good enough to answer all the clinical questions from the administered activities. This enable dose optimisation protocol to be established using a comprehensive clinical decision support application software for clinical application in SPECT imaging.

Authors and Affiliations

Issahaku Shirazu
University of Cape Coast, School of Agriculture and Physical Sciences Faculty of Physical Sciences, Department of Physics, Cape coast, Ghana
Theophilus Sackey
University of Ghana Medical School, Department of Radiology, Korle-Bu Teaching Hospital, Accra Ghana
Mary Boadu
Graduate School of Nuclear and Allied Sciences, University of Ghana, Legon, Ghana
Ernest Kojo Eduful
National Centre of Radiotherapy and Nuclear Medicine, Department of Medical Physics, Korle-Bu Teaching Hospital, Accra Ghana
Edem Sosu
Graduate School of Nuclear and Allied Sciences, University of Ghana, Legon, Ghana
Francis Hasford
Ghana Atomic Energy Commission, Radiological and Medical Sciences Research Institute, Medical Radiation Physics Centre, Accra, Ghana
Awo Assasie-Gyimah
National Centre of Radiotherapy and Nuclear Medicine, Department of Medical Physics, Korle-Bu Teaching Hospital, Accra Ghana
Theresa Bebaaku Dery
University of Cape Coast, School of Agriculture and Physical Sciences Faculty of Physical Sciences, Department of Physics, Cape coast, Ghana
Mark Pokoo-Aikins
University of Cape Coast, School of Agriculture and Physical Sciences Faculty of Physical Sciences, Department of Physics, Cape coast, Ghana

Signal To Noise Ratio, Analytical Modeling, Exposure, Injected Activity.

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 275-280
Manuscript Number : IJSRST173653
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Issahaku Shirazu, Theophilus Sackey, Mary Boadu, Ernest Kojo Eduful, Edem Sosu, Francis Hasford, Awo Assasie-Gyimah, Theresa Bebaaku Dery, Mark Pokoo-Aikins, " A Comprehensive Clinical Decision Support Application Software Tool for Dose Management Procedure in SPECT, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 6, pp.275-280, July-August-2017. Available at doi : 10.32628/IJSRST173653
Journal URL : http://ijsrst.com/IJSRST173653

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