Accurate Volumetric Measurements of Anatomical Cavities

Summary

Objectives: The volumetric assessment of anatomical cavities is of high relevance for various applications in medicine. Based on 3D scanning (i.e., CT) of these cavities, the volume can be determined by counting the volume elements of a segmentation of that cavity. Unfortunately, elements on the boundary of the segmentation require special treatment to obtain accurate volumetric measurements. In this paper, we propose a novel technique that in particular increases the accuracy of the volume estimation for the boundary elements of segmented anatomical objects.

Methods: Based on a 3D segmentation of an anatomical cavity, we recursively subdivide boundary volume elements into a set of simple situations, where the volume can be estimated easily.

Results: We performed volumetric measurements on seven datasets of phantom models made of plexiglass (see Fig. 1) scanned by a biplane angiography unit and assessed the quality of our method by comparing the measured volume by our novel method and by the fluid required to fill the phantom cavities.

Conclusions: Our method calculates a significantly more accurate volume of the segmented cavities than previous methods. Nevertheless, it is only slightly more computationally expensive.

Keywords

Radiographic phantom - angiography - measurements - quality assessment

• References

• 1 Gellrich NC, Schramm A, Hammer B, Rojas S, Cufi D, Lagrèze W, Schmelzeisen R. Computerassisted secondary reconstruction of unilateral posttraumatic orbital deformity. Plast Reconstr Surg 2002; 110 (06) 1417-29.
• 2 Luft A, Skalej M, Welte D, Kolb R, Burk K, Schulz J, Klockgether T, Voigt K. A new semiautomated, three-dimensional technique allowing precise quantification of total and regional cerebellar cerebellar volume using MRI. Magn Reson Med 1998; 40 (01) 143-51.
• 3 Hahn H, Lentschig M, Deimling M, Terwey B, Peitgen H. MRI based volumetry of intraand extracerebral liquor spaces. In Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K. (eds) CARS 2001. Proceedings of the 15th International Congress and Exhibition on Computer Assisted Radiology and Surgery. 2001. June 27-30 Berlin, Germany: 384-9.
• 4 Hahn H, Millar W, Durkin D, Klinghammer O, Peitgen H. Cerebral ventricular volumetry in pediatric neuroimaging. In Meiler M, Saupe D, Kruggel F, Handels H, Lehmann T. (eds) BVM 02. Proceedings of the 6th Workshop Bildverarbeitung für die Medizin; 2002, Mar 20-12. Leipzig, Germany: 2002: 59-62.
• 5 Bartz D, Straßer W, Skalej M, Welte D. Interactive exploration of extra-and intracranial blood vessels. In Ebert D, Gross M, Hamann B. (eds) IEEE Visualization 1999. Proceedings of the 10th IEEE conference on Visualization; 1999 Oct 24-29. San Francisco, USA: 1999: 389-92. 547
• 6 Gürvit Ö, Müller M, Siekmann R, El-Sheik M, Klose KJ, Skalej M, Alfke H. Limitationen der Rotationsangiographie. In Arlat IP. (ed) RöFo 2002. Abstracts of the 83rd Deutscher Röntgen Kongress; 2002, May 8-11. Wiesbaden, Germany: 2002. VO 23.1 179
• 7 Kindlmann G, Durkin J. Semi-automatic generation of transfer functions for direct volume rendering. Lorensen W, Yagel R. (eds) Vol Vis 98. Proceedings of the 8th Symposium on Volume Visualization; 1998 Oct 19-20. USA: Triangle Research Park; 1998: 79-86.
• 8 Lorensen W, Cline H. Marching Cubes: A high resolution 3D surface reconstruction algorithm. In Stone M. (ed) ACM SIGGRAPH 87. Proceedings of the 14th annual conference on Computer Graphics and interactive techniques; 1987, Jul 27-31. Anaheim, USA: 1987: 163-9.