Published 2019 | Version v1
Report Metadata-only

Steps Towards Personalized Dosimetry in Computed Tomography

Creators

  • 1. Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig (Germany)
  • 2. HUS Medical Imaging Center, Helsinki University Central Hospital, Haartmaninkatu 4, 00290 Helsinki (Finland)
  • 3. STUK - Radiation and Nuclear Safety Authority, Laippatie 4, 00880 Helsinki (Finland)

Description

Patient dosimetry in computed tomography (CT) is currently based on two quantities, which must be indicated by any CT scanner: the volume CT-dose index (CTDIvol) and the dose-length product (DLP). The estimation of stochastic radiation risk, expressed in terms of the effective dose (E), is obtained by E = EDLP * DLP, where EDLP is a calculated region-specific normalized effective dose conversion coefficient. However, this type of CT-dose estimation has many shortcomings and is not suitable for CT-scanner and patient-specific dose estimates. Therefore, a procedure was developed that opens the gate to practical personalized CT dosimetry which is realized by a quick Monte-Carlo-based post-scan 3D dose simulation as shown. As a result, the patient- and scan-specific effective dose is obtained.

Part of:
International Symposium on Standards, Applications and Quality Assurance in Medical Radiation Dosimetry (IDOS 2019). Book of Extended Synopses

Additional details

Identifiers

URL
https://www.iaea.org/events/idos2019;

Publishing Information

Imprint Title
International Symposium on Standards, Applications and Quality Assurance in Medical Radiation Dosimetry (IDOS 2019). Book of Extended Synopses
Imprint Pagination
455 p.
Journal Page Range
p. 216-217
Report number
IAEA-CN--273

Conference

Title
International Symposium on Standards, Applications and Quality Assurance in Medical Radiation Dosimetry
Acronym
IDOS 2019
Dates
18-21 Jun 2019
Place
Vienna (Austria)

INIS

Country of Publication
International Atomic Energy Agency (IAEA)
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53119599
Subject category
S61: RADIATION PROTECTION AND DOSIMETRY; S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED TOMOGRAPHY; DOSIMETRY; EFFECTIVE RADIATION DOSES; HEALTH HAZARDS; MONTE CARLO METHOD; PATIENTS; SIMULATION; STOCHASTIC PROCESSES
Descriptors DEC
CALCULATION METHODS; DIAGNOSTIC TECHNIQUES; DOSES; HAZARDS; RADIATION DOSES; TOMOGRAPHY

Optional Information

Notes
5 refs., 1 fig.
Secondary number(s)
IAEA-CN--273-51