Mean glandular dose measurement on various breast phantom using mammography machine in MINT Medical Physics Laboratory
Creators
- 1. Malaysian Inst. for Nuclear Technology Research MINT, Bangi (Malaysia). Medical Technology Div.
Description
Until recently, mammography have been the primary means of detecting early breast cancer. Although there is a risk of radiation- induced carcinogenesis associated with the x-ray examination of the female breast, but this risk is small compared to its benefits with modern equipment and technique. Therefore, it is important to determine the dose of the tissue at risk from radiation exposure by measuring the mean glandular dose (MGD). This can help minimize the risk to the patient. This paper describe the MGD measurement done on various types and thickness of breast phantom using a Bennett mammography machine model DMF-150 in the Medical Physics laboratory at the Malaysian Institute for Nuclear Technology Research (MINT). Results of this study are discussed in this paper. (Author)
Availability note (English)
Available at Malaysian Inst. for Nuclear Technology Research (MINT), Bangi, Malaysia; Ainon@mint.gov.myAdditional details
Publishing Information
- Publisher
- Malaysian Inst. for Nuclear Technology Research MINT
- Imprint Place
- Bangi (Malaysia)
- Imprint Pagination
- 6 p.
Conference
- Title
- 2005 MINT Technical Convention
- Dates
- 15-17 Aug 2005
- Place
- Bandar Baru Bangi (Malaysia)
INIS
- Country of Publication
- Malaysia
- Country of Input or Organization
- Malaysia
- INIS RN
- 36094003
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- BIOMEDICAL RADIOGRAPHY; CARCINOGENESIS; DOSES; FEMALES; HAZARDS; MAMMARY GLANDS; NEOPLASMS; PATIENTS; PHANTOMS; THICKNESS; X RADIATION
- Descriptors DEC
- BODY; DIAGNOSTIC TECHNIQUES; DIMENSIONS; DISEASES; ELECTROMAGNETIC RADIATION; GLANDS; IONIZING RADIATIONS; MEDICINE; MOCKUP; NUCLEAR MEDICINE; ORGANS; PATHOGENESIS; RADIATIONS; RADIOLOGY; STRUCTURAL MODELS