Abstract
This paper describes our studies on medical image processing and its medical applications. We have developed systems of computer aided diagnosis (CAD) and computer assisted surgery (CAS) in our laboratory. The important features of CAD and CAS are (1) generation of anatomical maps based on image recognition and understanding technologies, (2) automated detection of abnormal regions, (3) guidance to specific areas, e.g., an abnormal region, (4) generation of additional assistant information that is not visible directly in practice, e.g., anatomical names, measurement values (diameter, volume, and so on.), results of surgical simulation, and organs existing beyond an organ’s wall in an endoscopic view, and (5) visualization of such information. We briefly introduce medical image processing technologies and CAD/CAS systems that we have developed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
van Ginneken, B., ter, B.M., Romeny, H., Viergever, M.A.: Computer-Aided Diagnosis in Chest Radiography: A Survey. IEEE trans. on Medical Imaging 20(12), 1228–1241 (2001)
Cleary, K., Nguyen, C.: State of the Art in Surgical Robotics: Clinical Application and Technology Challenges. Computer Aided Surgery 6(6), 312–328 (2001)
Hasegawa, J., Mori, K., Toriwaki, J., et al.: Automated Extraction of Lung cancer lesions from multi-Slice Chest CT Images by Using Three-Dimensional Image Processing. IEICE D-II J76-D-II(8), 1587–1594 (1993) (in japanese)
Kitasaka, T., Mori, K., Hasegawa, J., et al.: A Method for Extraction of Bronchus Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus. FORMA 17(4), 321–338 (2002)
Kitasaka, T., Mori, K., Hasegawa, J., et al.: Automated Extraction of Aorta and Pulmonary Artery in Mediastinum from 3D Chest X-ray CT Images without Contrast Medium. In: Proc. of SPIE, vol. 4684, pp. 1496–1507 (2002)
Yamaguchi, T., Kitasaka, T., Mori, K., et al.: A preliminary study for automated recognition of branches of pulmonary artery and vein using anatomical positional relations from a 3-D chest X-ray CT image. In: Proc. of the 16th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2002), pp. 782–787 (2002)
Hayashi, Y., Mori, K., Hasegawa, J., et al.: Quantitative evaluation of observation methods in virtual endoscopy based on the rate of undisplayed region. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2489, pp. 631–638. Springer, Heidelberg (2002)
Mori, K., Hasegawa, J., Suenaga, Y., et al.: Automated Anatomical Labeling of the Bronchial Branch and Its Application to the Virtual Bronchoscopy System. IEEE Trans. on Medical Imaging, 103–114 (2000)
Ema, S., Mori, K., Kitasaka, T., et al.: An improved method for automated anatomical labeling of bronchial branches extracted from 3-D CT images. In: Proc. of the 18th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2004), p. 1358 (2004)
Hirano, Y., Hasegawa, J., Toriwaki, J.: A feasibility study on computer classification of benign and malignant tumors in lung cancer diagnosis from chest X-ray CT images. In: Proc. of the 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000), pp. 773–778 (2000)
Yoshida, H., Nappi, J.: Three-Dimensional Computer Aided Diagnosis Scheme for Detection of Colonic Polyps. IEEE Trans. on Medical Imaging 20(12), 1261–1274 (2001)
Kimura, T., Hayashi, Y., Kitasak, T., et al.: A study on automated detection of colonic polyps from 3D abdominal CT images based on shape. TECHNICAL REPOT OF IEICE, MI2003-102, pp. 29–34 (2004) (in japanese)
Mori, K., Hasegawa, J., Toriwaki, J., et al.: Automated extraction and visualization of bronchus from 3D CT images of lung. In: Ayache, N. (ed.) CVRMed 1995. LNCS, vol. 905, pp. 542–548. Springer, Heidelberg (1995)
Oka, H., Hayashi, Y., Mori, K., et al.: A Method for Generating Unfolded Views of Organ and Its Comparison With Virtual Endoscopy Based on Undisplayed Region Rate. In: Proc. of SPIE, vol. 5031, pp. 99–101 (2003)
Mori, K., Deguchi, D., Sugiyama J., et al.: “Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images,” Medical Image Analysis, No. 6, pp. 321–336 (2002)
Mori, K., Hayashi, Y., Ohta, K., et al.: Virtual pneumoperitoneum for generating virtual laparoscopic images based on shape deformation. In: Proc. of SPIE, vol. 5639, pp. 178–188 (2004)
Mori, K., Enjouji, T., Deguchi, D., et al.: New image similarity measures for bronchoscope tracking based on image registration between virtual and real bronchoscopic images. In: Proc. of SPIE, vol. 5639, pp. 165–176 (2004)
Oda, M., Hayashi, Y., Kitasaka, T., et al.: Development of Computer Aided Diagnosis System for Colorectal Cancer based on Navigation Diagnosis. Technical Report Of IEICE, MI2004-18, pp. 35–40 (2004)
Nagao, J., Aiguchi, T., Mori, K., et al.: A CAD System for Quantifying COPD Based on 3-D CT Images. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 730–737. Springer, Heidelberg (2003)
Mori, M., Takabatake, H., Natori, H., et al.: Three-dimensional Display of Pulmonary Emphysema: Quantitative Analysis of Spatial Distributions. In: Scientific Assembly and Annual Meeting Program, Radiological Society of North America (RSNA 2003), p. 805 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kitasaka, T., Mori, K., Suenaga, Y. (2004). Development of Advanced Image Processing Technology and Its Application to Computer Assisted Diagnosis and Surgery. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_63
Download citation
DOI: https://doi.org/10.1007/978-3-540-30541-5_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23974-1
Online ISBN: 978-3-540-30541-5
eBook Packages: Computer ScienceComputer Science (R0)