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A framework for organ dose estimation in x-ray angiography and interventional radiology based on dose-related data in DICOM structured reports
KTH, School of Engineering Sciences (SCI), Physics. Karolinska University Hospital, Stockholm, Sweden.
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2016 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560, Vol. 61, no 8, 3063-3083 p.Article in journal (Refereed) Published
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Abstract [en]

Although interventional x-ray angiography (XA) procedures involve relatively high radiation doses that can lead to deterministic tissue reactions in addition to stochastic effects, convenient and accurate estimation of absorbed organ doses has traditionally been out of reach. This has mainly been due to the absence of practical means to access dose-related data that describe the physical context of the numerous exposures during an XA procedure. The present work provides a comprehensive and general framework for the determination of absorbed organ dose, based on non-proprietary access to dose-related data by utilizing widely available DICOM radiation dose structured reports. The framework comprises a straightforward calculation workflow to determine the incident kerma and reconstruction of the geometrical relation between the projected x-ray beam and the patient's anatomy. The latter is difficult in practice, as the position of the patient on the table top is unknown. A novel patient-specific approach for reconstruction of the patient position on the table is presented. The proposed approach was evaluated for 150 patients by comparing the estimated position of the primary irradiated organs (the target organs) with their position in clinical DICOM images. The approach is shown to locate the target organ position with a mean (max) deviation of 1.3 (4.3), 1.8 (3.6) and 1.4 (2.9) cm for neurovascular, adult and paediatric cardiovascular procedures, respectively. To illustrate the utility of the framework for systematic and automated organ dose estimation in routine clinical practice, a prototype implementation of the framework with Monte Carlo simulations is included.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2016. Vol. 61, no 8, 3063-3083 p.
Keyword [en]
DICOM structured report, interventional radiology, Monte Carlo, patient dosimetry, x-ray angiography
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-187212DOI: 10.1088/0031-9155/61/8/3063ISI: 000374017300008PubMedID: 27008040Scopus ID: 2-s2.0-84963669792OAI: oai:DiVA.org:kth-187212DiVA: diva2:929577
Note

QC 20160519

Available from: 2016-05-19 Created: 2016-05-18 Last updated: 2016-05-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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