3D visualization and dept peeling of pulmonary vasculature and lung lesion using plain ct sequence

S. Nandish, K. G. Gopalakrishna Prabhu, Rajagopal Kv, Rao K.G. Mohandas, Manjunath Shetty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Citations

Abstract

With the extensive growth of technology in the area of healthcare provides better care by better diagnosis and treatment. In the semi urban areas even today there is no invasion of recent cutting edge technology in regular practice. With low resource setting at the semi urban and rural area what better can technology do raised the intention of research in the proposed article. Plain CT scan of the lung is processed to extract the lesion and blood vessels and visualized in 3 dimensions for better diagnosis and treatment planning. Initially vessel segmentation is performed on the Lung CT and lesion detection and extraction if performed separately. Results of both are fused each other to visualize in 3 dimensions. While performing 3D volume rendering different techniques are used to better visualization of vessels and lesions. Further study would be to understand the effects of space occupying lesions on the vasculature in the lung.

LanguageEnglish
Title of host publication2017 4th International Conference on Image Information Processing, ICIIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-37
Number of pages4
Volume2018-January
ISBN (Electronic)9781509067343
DOIs
Publication statusPublished - 09-03-2018
Event4th International Conference on Image Information Processing, ICIIP 2017 - Waknaghat, Shimla, India
Duration: 21-12-201723-12-2017

Conference

Conference4th International Conference on Image Information Processing, ICIIP 2017
CountryIndia
CityWaknaghat, Shimla
Period21-12-1723-12-17

Fingerprint

Peeling
Visualization
Technology
Lung
Volume rendering
Computerized tomography
Blood vessels
Blood Vessels
Delivery of Health Care
Planning
Growth
Research

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Health Informatics
  • Radiology Nuclear Medicine and imaging

Cite this

Nandish, S., Gopalakrishna Prabhu, K. G., Kv, R., Mohandas, R. K. G., & Shetty, M. (2018). 3D visualization and dept peeling of pulmonary vasculature and lung lesion using plain ct sequence. In 2017 4th International Conference on Image Information Processing, ICIIP 2017 (Vol. 2018-January, pp. 34-37). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIIP.2017.8313680
Nandish, S. ; Gopalakrishna Prabhu, K. G. ; Kv, Rajagopal ; Mohandas, Rao K.G. ; Shetty, Manjunath. / 3D visualization and dept peeling of pulmonary vasculature and lung lesion using plain ct sequence. 2017 4th International Conference on Image Information Processing, ICIIP 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 34-37
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Nandish, S, Gopalakrishna Prabhu, KG, Kv, R, Mohandas, RKG & Shetty, M 2018, 3D visualization and dept peeling of pulmonary vasculature and lung lesion using plain ct sequence. in 2017 4th International Conference on Image Information Processing, ICIIP 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 34-37, 4th International Conference on Image Information Processing, ICIIP 2017, Waknaghat, Shimla, India, 21-12-17. https://doi.org/10.1109/ICIIP.2017.8313680

3D visualization and dept peeling of pulmonary vasculature and lung lesion using plain ct sequence. / Nandish, S.; Gopalakrishna Prabhu, K. G.; Kv, Rajagopal; Mohandas, Rao K.G.; Shetty, Manjunath.

2017 4th International Conference on Image Information Processing, ICIIP 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 34-37.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Nandish S, Gopalakrishna Prabhu KG, Kv R, Mohandas RKG, Shetty M. 3D visualization and dept peeling of pulmonary vasculature and lung lesion using plain ct sequence. In 2017 4th International Conference on Image Information Processing, ICIIP 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 34-37 https://doi.org/10.1109/ICIIP.2017.8313680