소 동물 촬영을 위한 Micro-CT의 개발

Development of a Micro-CT System for Small Animal Imaging

  • Sang Chul Lee (Graduate School of East-West Medical Science, Kyung Hee University) ;
  • Ho Kyung Kim (School of Mechanical Engineering, Pusan National University) ;
  • In Kon Chun (Graduate School of East-West Medical Science, Kyung Hee University) ;
  • Myung Hye Cho (Graduate School of East-West Medical Science, Kyung Hee University) ;
  • Min Hyoung Cho (Graduate School of East-West Medical Science, Kyung Hee University) ;
  • Soo Yeol Lee (Graduate School of East-West Medical Science, Kyung Hee University)
  • 발행 : 2004.04.01

초록

소 동물 촬영에 이용될 수 있는 고해상도의 x-선 cone-beam micro computed tomography (micro-CT) 시스템을 개발하였다 Micro-CT 시스템은 120${\times}$120 mm2 의 2차원 평판 x-선 감지기, micro-focus x-선 발생장치, 주사 기구부, 병렬처리 영상 재구성 시스템으로 이루어져 있다. 개발된 시스템의 성능을 평가하기 위해 대조도와 공간해상도를 측정하였다. 대조도 실험에서는 95 mGy 에서 36 CT-번호를 구별할 수 있음을 확인하였고, 공간 해상도 실험에서는 14 lp/mm 의 성능을 확인하였다. 소 동물 촬영 결과로 실험용 쥐의 대퇴부, 심장 그리고 복부 동맥 혈관을 촬영한 경상을 제시하였다. 개발된 micro-CT 시스템은 소 동물을 이용한 생명공학 분야 연구에 널리 이용될 수 있을 것으로 기대된다.

We developed an x-ray cone-beam micro computed tomography (micro-CT) system for small-animal imaging. The micro-CT system consists of a 2-D flat-panel x-ray detector with a field-of-view (FOV) of 120${\times}$120 mm2, a micro-focus x-ray source, a scan controller and a parallel image reconstruction system. Imaging performances of the micro-CT system have been evaluated in terms of contrast and spatial resolution. The minimum resolvable contrast has been found to be less than 36 CT numbers at the dose of 95 mGy and the spatial resolution about 14 lp/mm. As small animal imaging results, we present high resolution 3-D images of rat organs including a femur, a heart and vessels. We expected that the developed micro-CT system can be greatly used in biomedical studies using small animals.

키워드

참고문헌

  1. Genes & Development v.17 Molecular imaging in living subject: seeing fundamental biological processes in a new light T. F. Massoud;S. S. Gambhir https://doi.org/10.1101/gad.1047403
  2. Acad. Radiol. v.8 Molecular imaging: an overview M. G. Pomper https://doi.org/10.1016/S1076-6332(03)80728-6
  3. Radiology v.219 Molecular imaging R. Weissleder;U. Mahmood https://doi.org/10.1148/radiology.219.2.r01ma19316
  4. Am. J. Physiol. v.275 Three-dimensional imagin of vasculature and parenchyma in intact rodent organs with x-ray micro-CT S. M. Jorgensen;O. Demirkaya;E. L. Ritman
  5. IEEE. Trans. Nucl. Sci. v.46 A new x-ray computed tomography system for laboratory mouse imaging M. J. Paulus;H. Sari-Sarraf;S. S. Gleason;M. Bobrek;J. S. Hicks;D. K. Johnson;J. K. Behel;L. H. Thompson;W. C. Allen https://doi.org/10.1109/23.775579
  6. IEEE. Trans. Med. Imag. v.19 Extraction of the hepatic vasculature in rats using 3-D micro-CT images S. Y. Wan S Y;A. P. Kiraly;E. L. Ritman;W. E. Higgins https://doi.org/10.1109/42.887843
  7. Proc. SPIE v.3921 High-resolution x-ray CT screening of mutant mouse models M. J. Paulus;S. S. Gleason;H. Sari-Sarraf;D. K. Johnson;C. J. Foltz;D. W. Austin;M. E. Easterly;E. J. Michaud;M. S. Dhar;P. R. Hunsicker;J. W. Wall;M. Schell https://doi.org/10.1117/12.384221
  8. J. Cell. Biochem. Supp. v.39 Molecular imaging in small animals-roles for micro-CT E. L. Ritman
  9. Med. Phys. v.20 A high-resolution XRII-based quantitative volume CT scanner D. W. Holdsworth;M. Drangova;A. Fenster https://doi.org/10.1118/1.597038
  10. Advanced Imaging v.16 Micro-CT scanners for biomedical applications: an overview G. Wang;M. Vannier
  11. IEEE. Trans. Med. Imag. v.11 A simple method for determining the modulation tranfer function in digital radiography H. Fujita;D. Y. Tsai;T. Itoh;K. Doi;J. Morishita;K. Ueda;A. Ohtsuka https://doi.org/10.1109/42.126908
  12. Phys. Med. Biol. v.48 A flat-panel detector based micro-CT system: performance evaluation for small-animal imaging S. C. Lee;H. K. Kim;I. K. Chun;M. H. Cho;S. Y. Lee;M. H. Cho https://doi.org/10.1088/0031-9155/48/24/014
  13. J. Biomed. Eng. Res. v.22 Performance comparison of reconstruction algorithms for fan-beam computerized tomography S. C. Lee;M. H. Cho;S.Y. Lee
  14. J. Opt. Soc. Am. A v.1 Practical cone-beam algorithm L. A. Feldkamp;L. C. Davis;J. W. Kress https://doi.org/10.1364/JOSAA.1.000612
  15. Phys. Med. Biol. v.44 Imaging modality in x-ray computerized tomography and in selected volume tomography C. A. Carlsson https://doi.org/10.1088/0031-9155/44/3/011
  16. Proc. SPIE v.5030 Distributed image reconstruction for an in-vivo mouse imaging system S. C. Lee;J. Y. Han;I. K. Chun;S. Y. Lee;M. H. Cho https://doi.org/10.1117/12.480006
  17. Handbook of Medical Imaging J. M. Boone
  18. Proc. Natl. Acad. Sci. v.68 Three dimensional reconstructions from radiographs and electron micrographs: applocation of convolution instead of Fourier transforms G. N. Ramachandran;A. V. Lakshminarayanan https://doi.org/10.1073/pnas.68.9.2236
  19. Med. Phys. v.28 Determination of the presampled MTF in computed tomograpy J. M. Boone https://doi.org/10.1118/1.1350438