Document Detail

Using the Microsoft Kinect for patient size estimation and radiation dose normalization: proof of concept and initial validation.
MedLine Citation:
PMID:  23344260     Owner:  NLM     Status:  MEDLINE    
Monitoring patients' imaging-related radiation is currently a hot topic, but there are many obstacles to accurate, patient-specific dose estimation. While some, such as easier access to dose data and parameters, have been overcome, the challenge remains as to how accurately these dose estimates reflect the actual dose received by the patient. The main parameter that is often not considered is patient size. There are many surrogates-weight, body mass index, effective diameter-but none of these truly reflect the three-dimensional "size" of an individual. In this work, we present and evaluate a novel approach to estimating patient volume using the Microsoft Kinect™, a combination RGB camera-infrared depth sensor device. The goal of using this device is to generate a three-dimensional estimate of patient size, in order to more effectively model the dimensions of the anatomy of interest and not only enable better normalization of dose estimates but also promote more patient-specific protocoling of future CT examinations. Preliminary testing and validation of this system reveals good correlation when individuals are standing upright with their arms by their sides, but demonstrates some variation with arm position. Further evaluation and testing is necessary with multiple patient positions and in both adult and pediatric patients. Correlation with other patient size metrics will also be helpful, as the ideal measure of patient "size" may in fact be a combination of existing metrics and newly developed techniques.
Tessa S Cook; Gregory Couch; Timothy J Couch; Woojin Kim; William W Boonn
Publication Detail:
Type:  Journal Article; Validation Studies    
Journal Detail:
Title:  Journal of digital imaging     Volume:  26     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2013 Aug 
Date Detail:
Created Date:  2013-07-09     Completed Date:  2014-03-07     Revised Date:  2014-08-04    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  657-62     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Body Size*
Body Weights and Measures / instrumentation*,  methods*
Imaging, Three-Dimensional / instrumentation*,  methods*
Infrared Rays
Middle Aged
Radiation Dosage*
Reference Values
Reproducibility of Results

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Adrenal gland abnormality detection using random forest classification.
Next Document:  Identification of FGFR4 as a potential therapeutic target for advanced-stage, high-grade serous ovar...