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JOURNAL
OF
SPORTS SCIENCE &
MEDICINE
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Research
article
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3D RECONSTRUCTION OF PHALANGEAL AND METACARPAL BONES OF MALE JUDO PLAYERS AND SEDENTARY MEN BY MDCT IMAGES |
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Ibrahim Kalayci |
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Department of Geodesy and Photogrammetry, Faculty of Architecture and Engineering, University of Selcuk, Konya, Turkey |
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© Journal of Sports Science and Medicine (2008) 7, 544 - 548 Search Google Scholar for Citing Articles |
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| ABSTRACT | |||||||||||||
| This study has been performed to reveal hand bone peculiarities
of elite male judoists by comparing their phalangeal and metacarpal bones
with those of sedentary men on the basis of biometric ratio of the bones
by means of three-dimensional (3D) reconstruction of multidetector computed
tomography (MDCT) images. For this purpose, the axial images of the right
and left hands of 8 elite male judo players (mean age: 22.0 ± 2.9 years,
mean weight: 64.0 ± 4.9 kg) and 8 sedentary men (mean age: 26.0 ± 2.8 years,
mean weight: 69.0 ± 3.6 kg) were obtained from MDCT. After semi-automatic
segmentation and manual editing, the tracings of bone surfaces were stacked
and overlaid to be reconstructed as the 3D images by the 3D program. All
biometrical measurements of the reconstructed images of the bones were automatically
calculated by this program to analyze statistically. This study showed that
the differences between biometric ratios of judoist and sedentary men's
hand bones were significant contrary to null hypothesis which was established
as there is no difference between biometric hand bone ratios of these men
of both groups. Therefore null hypothesis was rejected. Author suggests
that intense clutching actions practised in judo sports can most probably
lead to some hand bone proliferations. 3D reconstructed results belonging
to the judo players and sedentary men help orthopaedists to diagnose pathological
formations related to hand bones of judoists and may be used for anatomical
education in medicine faculties, respectively. We hope that the results
from the biometric and reconstructive techniques carried out in this work
will contribute to the present knowledge on judoist and shed light on the
future studies on sports medicine related to skeletal structure of other
sportsmen.
Key words: CT imaging, three-dimensional reconstruction, judo players, sedentary men, morphometry. |
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| INTRODUCTION | |||||||||||||
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Among the contact sports it can be said that judo training has
an advantage to represent physical fitness, motor skills and psychosocial
attitude without serious injuries (May et al., 2001;
Rogers, 1986).
With this advantage a modified from of judo becomes a useful therapeutic,
educational, and recreational tool for handicapped children (Caouette
and Gijseghem, 1991;
Gleser et al., 1992).
Contrary to that, extensive judo practise has always a risk factor against
to finger joints by developing osteoarthritis because of chronic repetitive
and substantial injuries (Strasser et al., 1997). |
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| METHODS | |||||||||||||
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Eight
right-handed sedentary men (mean age: 26.0 ± 2.8 years, mean weight: 69.0
± 3.6 kg) and eight right-handed elite male judo players who are members
of Turkish National Judo Team (mean age: 22.0 ± 2.9 years, mean weight:
64.0 ± 4.9 kg) having no history and clinical signs of any orthopaedic
disorder such as fracture, osteoarthritis or also acromegaly for giantism
were included in this study. The procedures followed were in accordance
with the ethical standards of the responsible committee of the faculty
which are based on the Helsinki Declaration (Goodyear et al., 2007).
The right and left hands of both groups were placed side by side in a
prone anatomic position and were scanned by high resolution imaging using
a general diagnostic MDCT (Somatom Sensation 64; Siemens Medical Solutions,
Forchheim, Germany). Since the grasping tracksuit of rival with the palm
is most frequently used by judoist, the metacarpal and phalangeal bones
that form the palm have been included in the study, excluding the carpal
bones. Scanning along the axial axis of the entire hand including the
carpal joint was performed by using the following parameters: physical
detector collimation, 32 x 0.6 mm; resulting section collimation, 64 x
0.6 mm; section thickness, 0.75 mm (increment, 0.7 mm); gantry rotation
time, 330 msec; kVp, 120; mA, 300; spatial resolution, 512 x 512 pixels
with pixel spacing, 0.92 x 0.92 and radiometric resolution MONOCHROME2
which gives 16 bit gray level. Dose and scanning parameters have been
performed by radiologists in Meram School of Medicine, University of Selcuk,
Konya, Turkey, on the basis of the standardized protocol which considers
the documented scanning practices and the recent studies (Prokop, M.,
2003;
Kalra et al., 2004)
to generate optimum image quality while maintaining individual radiation
exposure at the lowest level. The axial images obtained were then stored
in DICOM format to transfer to a personal computer in which the 3D modelling
software (3D-DOCTOR for Windows, Ay Tasarım Ltd., Ankara, Turkey, http://www.aytasarim.com)
was set up. This study considered the manually corrected automated segmentation
for 3D reconstruction of images as in the literature (Bazille et al.,
1994).
The points that have been improperly positioned after automatic boundary
segmentation were edited manually throughout an interactive boundary editing
routine; therefore this segmentation is called as semi-automatic segmentation.
Manual editing process takes 3 to 4 minutes per image. Semi-automatic
segmentation was done by determining the bone boundaries automatically
first, then the points which were not correctly positioned on the bone
boundaries were edited point by point with a computer mouse by only one
and the same operator who was the author of the present study (Figure
1). After manual editing was rechecked visually, all the corrected
boundaries of the bone surfaces were stacked and overlaid to reconstruct
the 3D model of bones by 3D rendering component of the software (Figure
2). |
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| RESULTS | |||||||||||||
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Since individual morphometrical measurements (volume, surface
area and length) of the bones that formed a hand were inherently different,
and also it could be affected by individual physical and anatomical condition.
Because of these reasons, in this study their mean measurements were not
recorded as numeral. Instead of them, all values of each phalangeal bone
and each metacarpal bone were given in ratio comparison with each finger
or total metacarpal bones, respectively. Moreover, statistically important
differences established at p < 0.05 have been interpreted in terms
of ratios between the hand bones of both groups (refer to Tables 1
and 2). |
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| DISCUSSION | |||||||||||||
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Computed tomography (CT) is an effective diagnostic modality for
2D multiplanar images (coronal, sagittal, axial) of bone structures, including
their defects (Krupa et al., 2007).
The MDCT, a recent technologic advance, can obtain a large number of 2
D images during one rotation of the X-ray tube, making it possible to
get thin slices within a short scan time. By means of different software
developed in last years, pseudo-3D displays are also created from a stack
of 2D images of a large number of these parallel planes as snapshots (Hu
et al., 2000).
It is possible to use 3D software not only for 3D visualization of tissues
but also for their 3D geometrical modelling which is mathematical, vector
based description of tissue-boundary geometry (Cernochova et al., 2005;
Krupa et al., 2004;
2007).
They also stressed that the 3D geometrical technique has steadily become
more applicable to simulations, navigations and training particularly
in plastic surgery, stomatology, orthopaedic surgery, traumatology, neurosurgery,
etc. |
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| AUTHOR BIOGRAPHY | |
Ibrahim KALAYCI Employment: Assistant Professor, Department of Geodesy and Photogrammetry, Faculty of Architecture and Engineering, University of Selcuk, Turkey. Degree: PhD. Research interests: Image processing, GPS application. E-mail: ikalayci@selcuk.edu.tr |
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