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Proceedings Paper

Semi-automatic detection of Gd-DTPA-saline filled capsules for colonic transit time assessment in MRI
Author(s): Christian Harrer; Sonja Kirchhoff; Andreas Keil; Chlodwig Kirchhoff; Thomas Mussack; Andreas Lienemann; Maximilian Reiser; Nassir Navab
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Paper Abstract

Functional gastrointestinal disorders result in a significant number of consultations in primary care facilities. Chronic constipation and diarrhea are regarded as two of the most common diseases affecting between 2&percent; and 27&percent; of the population in western countries1-3. Defecatory disorders are most commonly due to dysfunction of the pelvic floor or the anal sphincter. Although an exact differentiation of these pathologies is essential for adequate therapy, diagnosis is still only based on a clinical evaluation1. Regarding quantification of constipation only the ingestion of radio-opaque markers or radioactive isotopes and the consecutive assessment of colonic transit time using X-ray or scintigraphy, respectively, has been feasible in clinical settings4-8. However, these approaches have several drawbacks such as involving rather inconvenient, time consuming examinations and exposing the patient to ionizing radiation. Therefore, conventional assessment of colonic transit time has not been widely used. Most recently a new technique for the assessment of colonic transit time using MRI and MR-contrast media filled capsules has been introduced9. However, due to numerous examination dates per patient and corresponding datasets with many images, the evaluation of the image data is relatively time-consuming. The aim of our study was to develop a computer tool to facilitate the detection of the capsules in MRI datasets and thus to shorten the evaluation time. We present a semi-automatic tool which provides an intensity, size10, and shape-based11,12 detection of ingested Gd-DTPA-saline filled capsules. After an automatic pre-classification, radiologists may easily correct the results using the application-specific user interface, therefore decreasing the evaluation time significantly.

Paper Details

Date Published: 11 March 2008
PDF: 8 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69143K (11 March 2008); doi: 10.1117/12.769867
Show Author Affiliations
Christian Harrer, Technische Univ. München (Germany)
Sonja Kirchhoff, Univ. Hospital Munich - Großhadern (Germany)
Andreas Keil, Technische Univ. München (Germany)
Univ. Hospital Munich - Innenstadt (Germany)
Chlodwig Kirchhoff, Univ. Hospital Munich - Innenstadt (Germany)
Thomas Mussack, Univ. Hospital Munich - Innenstadt (Germany)
Andreas Lienemann, Univ. Hospital Munich - Großhadern (Germany)
Maximilian Reiser, Univ. Hospital Munich - Großhadern (Germany)
Nassir Navab, Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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