Volume estimation of pulmonary lesion using chest CT sequence

Ramyasri Nayak, S. Nandish, Prakashini Koteshwara

Research output: Contribution to journalArticle

Abstract

Many of the imaging modalities like X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), fMRI have emerged to capture high quality images of anatomical structures of the human body. Radiologist can also have a better visualization if the regions of interest in the images are extracted and visualized 3D. To extract region of interest, sometimes preprocessing steps are performed on the input data. Pulmonary lesion is a small round or oval-shaped growth in the lung. It consists of solid and non-solid portion. The estimation of solid and non-solid portion of the pulmonary nodules will help the clinicians in the diagnosis and to suggest the appropriate treatment methodology. Lesion volume estimation gives a brief idea about the area occupied by the lesion tissues, which in turn can help the radi-ologist to plan treatment accordingly. In proposed work, lesion is segmented using K-means algorithm and then volume of the lesion is estimated. The slices which have segmented lesion with solid and non-solid regions is used for 3D visualization. The results obtained using the proposed methodology is validated with the Slicer 3D software. Error in the estimated volume of the solid and non-solid por-tion of the lesion was found to be in the range of 1.11% - 3.30% and 0.1% to 4.55% respectively. Results from the proposed methodolo-gy, lesion extraction with solid and non-solid, 3D visualization of the same and volume estimation respectively are validated by taking feedback from the radiologists and segmented lesion slices are used to estimate the volume and 3D visualization in Slicer 3D software for validation.

Original languageEnglish
Pages (from-to)186-190
Number of pages5
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3.1 Special Issue 1
Publication statusPublished - 01-01-2018

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Tomography
Thorax
Lung
Visualization
Software Validation
Magnetic Resonance Imaging
X Ray Computed Tomography
Human Body
Software
Image quality
Therapeutics
Growth
Tissue
Feedback
Imaging techniques
X rays
Radiologists

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

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title = "Volume estimation of pulmonary lesion using chest CT sequence",
abstract = "Many of the imaging modalities like X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), fMRI have emerged to capture high quality images of anatomical structures of the human body. Radiologist can also have a better visualization if the regions of interest in the images are extracted and visualized 3D. To extract region of interest, sometimes preprocessing steps are performed on the input data. Pulmonary lesion is a small round or oval-shaped growth in the lung. It consists of solid and non-solid portion. The estimation of solid and non-solid portion of the pulmonary nodules will help the clinicians in the diagnosis and to suggest the appropriate treatment methodology. Lesion volume estimation gives a brief idea about the area occupied by the lesion tissues, which in turn can help the radi-ologist to plan treatment accordingly. In proposed work, lesion is segmented using K-means algorithm and then volume of the lesion is estimated. The slices which have segmented lesion with solid and non-solid regions is used for 3D visualization. The results obtained using the proposed methodology is validated with the Slicer 3D software. Error in the estimated volume of the solid and non-solid por-tion of the lesion was found to be in the range of 1.11{\%} - 3.30{\%} and 0.1{\%} to 4.55{\%} respectively. Results from the proposed methodolo-gy, lesion extraction with solid and non-solid, 3D visualization of the same and volume estimation respectively are validated by taking feedback from the radiologists and segmented lesion slices are used to estimate the volume and 3D visualization in Slicer 3D software for validation.",
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Volume estimation of pulmonary lesion using chest CT sequence. / Nayak, Ramyasri; Nandish, S.; Koteshwara, Prakashini.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.1 Special Issue 1, 01.01.2018, p. 186-190.

Research output: Contribution to journalArticle

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