Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5610
Title: Modeling and simulation of Positron Emission Mammography (PEM) based on double-sided CdTe strip detectors
Authors: Özşahin, İlker
Ünlü, Mehmet Zübeyir
Keywords: Gamma camera
SPECT
Computerized tomography
Computed radiography
X-ray mammography
Publisher: IOP Publishing Ltd.
Source: Özşahin, I., and Ünlü, M.Z. (2014). Modeling and simulation of Positron Emission Mammography (PEM) based on double-sided CdTe strip detectors. Journal of Instrumentation, 9(3). doi:10.1088/1748-0221/9/03/C03055
Abstract: Breast cancer is the most common leading cause of cancer death among women. Positron Emission Tomography (PET) Mammography, also known as Positron Emission Mammography (PEM), is a method for imaging primary breast cancer. Over the past few years, PEMs based on scintillation crystals dramatically increased their importance in diagnosis and treatment of early stage breast cancer. However, these detectors have significant limitations like poor energy resolution resulting with false-negative result (missed cancer), and false-positive result which leads to suspecting cancer and suggests an unnecessary biopsy. In this work, a PEM scanner based on CdTe strip detectors is simulated via the Monte Carlo method and evaluated in terms of its spatial resolution, sensitivity, and image quality. The spatial resolution is found to be ∼ 1 mm in all three directions. The results also show that CdTe strip detectors based PEM scanner can produce high resolution images for early diagnosis of breast cancer.
URI: https://doi.org/10.1088/1748-0221/9/03/C03055
http://hdl.handle.net/11147/5610
ISSN: 1748-0221
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
5610.pdfMakale1.17 MBAdobe PDFThumbnail
View/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

4
checked on Nov 15, 2024

WEB OF SCIENCETM
Citations

4
checked on Oct 26, 2024

Page view(s)

3,852
checked on Nov 18, 2024

Download(s)

260
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.