Using 3D Segmentation Contours Techniques Lung from CT chest Image

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ABSTRACT

• Accurate lung segmentation in chest Computed Tomography (CT) scans is a challenging problem because of variations in lung volume shape, susceptibility to partial volume effects that affect thin antero-posterior junction lines, and lack of contrast between the lung and surrounding tissues.
• The proposed method has an image preprocessing step to extract and segment lung in active contours techniques.
• Here the segmented lung can measure volume and view the volume of segmented part.

OBJECTIVE

• 3-D Segmentation using contour techniques of lung from CT chest images.

EXISTING SYSTEM

• The Lung segmentation are processed without volume measuring and viewing the volume of segmented part.
• Existing process gives good result of segmentation. The analysis part gives main draw back in updated techniques.

DISADVANTAGES

• Less accurate
• No computation of volume

PROPOSED SYSTEM

• Our Paper performs Segmenting the lungs in the CT scan data using the active contour technique.
•  Active contours is a region growing algorithm which requires initial seed points. 
• The proposed method uses the Image Segmenter toolbox to mask by two orthogonal segmenting 2D slices which is one in the XY plane and the other in the XZ plane. 
• The proposed method inserts these two segmentations into a 3-D mask

ADVANTAGES

•  Accurate Segmentation
•  Can compute the volume
•  Can View of segmented lung

ALGORITHM USED

• Active Contour
•  Image processing Toolbox Image Data
•  3D volumetric

SYSTEM ARCHITECTURE

SYSTEM REQUIREMENTS

• Operating System                              : Windows 7
• Software Programming Package         : MATLAB R2019b

REFERENCE

• Peng, T., Xu, T. C., Wang, Y., Zhou, H., Candemir, S., Zaki, W. M. D. W., ... & Chen, X. (2020). Hybrid Automatic Lung Segmentation on Chest CT Scans. IEEE Access, 8, 73293-73306.