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Publication Date:
June 2008
ISSN:
1862-278X
DOI:
10.1515/BMT.2008.017

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Editor-in-Chief: Dössel, Olaf

Editorial Board Member: Augat, Peter / Bösiger, Peter / Gehring, Hartmut / Haueisen, Jens / Leonhardt, Steffen / Niederlag, Wolfgang / Radermacher, Klaus M. / Schmitz, Georg / Witte, Herbert / Boenick, Ulrich / Lenthe, Harry / Penzel, Thomas / Clasbrummel, Bernhard / Robitzki, Andrea A. / Scholz, Jörg / Snedeker, Jess G. / Wintermantel, Erich / Jockenhoevel, Stefan / Gilly, Hermann / Werner, Jürgen / Plank, Gernot / Stieglitz, Thomas

6 Issues per year

Increased IMPACT FACTOR 2011: 0.855
5-year IMPACT FACTOR: 0.745
Rank 56 out of 72 in category Biomedical Engineering and rank 20 out of 23 in category Medical Informatics in the 2011 Thomson Reuters Journal Citation Report/Science Edition

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Issues

Brustvolumenbestimmung anhand der 3-D-Oberflächengeometrie: Verifizierung der Methode mit Hilfe der Kernspintomographie / Breast volume assessment based on 3D surface geometry: verification of the method using MR imaging

Maximilian Eder1 / Armin Schneider2 / Hubertus Feussner3 / Alexander Zimmermann4 / Christoph Höhnke5 / Nikolaos A. Papadopulos6 / Laszlo Kovacs7

1Arbeitsgruppe Computer Aided Plastic Surgery (CAPS), Klinik und Poliklinik für Plastische Chirurgie und Handchirurgie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland

2Forschungsgruppe für Minimal-Invasive Interdisziplinäre therapeutische Intervention (Forschungsgruppe MITI), Klinikum rechts der Isar, Technische Universität München, München, Deutschland

3Forschungsgruppe für Minimal-Invasive Interdisziplinäre therapeutische Intervention (Forschungsgruppe MITI), Klinikum rechts der Isar, Technische Universität München, München, Deutschland

4Abteilung für Gefäßchirurgie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland

5Arbeitsgruppe Computer Aided Plastic Surgery (CAPS), Klinik und Poliklinik für Plastische Chirurgie und Handchirurgie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland

6Arbeitsgruppe Computer Aided Plastic Surgery (CAPS), Klinik und Poliklinik für Plastische Chirurgie und Handchirurgie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland

7Arbeitsgruppe Computer Aided Plastic Surgery (CAPS), Klinik und Poliklinik für Plastische Chirurgie und Handchirurgie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland

Korrespondenz: Dr. Laszlo Kovacs, MD, Klinik und Poliklinik für Plastische Chirurgie und Handchirurgie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, D-81675 München, Deutschland Phone: +49-(0)89-4140 5073 Fax: +49-(0)89-4140 7399

Citation Information: Biomedizinische Technik/Biomedical Engineering. Volume 53, Issue 3, Pages 112–121, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/BMT.2008.017, June 2008

Publication History:
Received:
2007-03-29
Accepted:
2008-02-29
Published Online:
2008-06-11

Abstract

Differences in breast volume and contour are subjectively estimated by surgeons. 3D surface imaging using 3D scanners provides objective breast volume quantification, but precision and accuracy of the method requires verification. Breast volumes of five test individuals were assessed using a 3D surface scanner. Magnetic resonance imaging (MRI) reference volumes were obtained to verify and compare the 3D scan measurements. The anatomical thorax wall curvature was segmented using MRI data and compared to the interpolated curvature of the posterior breast volume delimitation of 3D scan data. MRI showed higher measurement precision, mean deviation (expressed as percentage of volume) of 1.10±0.34% compared to 1.63±0.53% for the 3D scanner. Mean MRI [right (left) breasts: 638 (629)±143 (138) cc] and 3D scan [right (left) breasts: 493 (497)±112 (116) cc] breast volumes significantly correlated [right (left) breasts: r=0.982 (0.977), p=0.003 (0.004)]. The posterior thorax wall of the 3D scan model showed high agreement with the MRI thorax wall curvature [mean positive (negative) deviation: 0.33 (-0.17)±0.37 cm]. High correspondence and correlation of 3D scan data with MRI-based verifications support 3D surface imaging as sufficiently precise and accurate for breast volume measurements.

Keywords: Brust; Brustvolumen; dreidimensionale Bildgebung; 3-D-Scan; 3-D-Segmentierung; Plastische Chirurgie; breast; breast volume; plastic surgery; 3D imaging; 3D scan; 3D segmentation

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