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Lookup NU author(s): Dr Anando SenORCiD
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SPECT imaging using In-111 ProstaScint is an FDA-approved method for diagnosing prostate cancer metastases within the pelvis. However, conventional medium-energy parallel-hole (MEPAR) collimators produce poor image quality and we are investigating the use of multipinhole (MPH) imaging as an alternative. This paper presents a method for evaluating MPH designs that makes use of sampling-sensitive (SS) mathematical model observers for tumor detectionlocalization tasks. Key to our approach is the redefinition of a normal (or background) reference image that is used with scanning model observers. We used this approach to compare different MPH configurations for the task of small-tumor detection in the prostate and surrounding lymph nodes. Four configurations used 10, 20, 30, and 60 pinholes evenly spaced over a complete circular orbit. A fixed-count acquisition protocol was assumed. Spherical tumors were placed within a digital anthropomorphic phantom having a realistic Prostascint biodistribution. Imaging data sets were generated with an analytical projector and reconstructed volumes were obtained with the OSEM algorithm. The MPH configurations were compared in a localization ROC (LROC) study with 2D pelvic images and both human and model observers. Regular and SS versions of the scanning channelized nonprewhitening (CNPW) and visual-search (VS) model observers were applied. The SS models demonstrated the highest correlations with the average human-observer results
Author(s): Kalantari F, Sen A, Gifford HC
Editor(s): Claudia R. Mello-Thoms, Matthew A. Kupinski
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment
Year of Conference: 2014
Pages: 90370L
Online publication date: 11/03/2014
Acceptance date: 15/10/2013
ISSN: 1605-7422
Publisher: SPIE
URL: https://doi.org/10.1117/12.2044423
DOI: 10.1117/12.2044423
Library holdings: Search Newcastle University Library for this item
ISBN: 9780819498304