Title :
Computer assisted detection of liver neoplasm (CADLN)
Author :
Bhosale, S. ; Aphale, A. ; Macwan, Isaac ; Faezipour, Miad ; Bhosale, P. ; Patra, Prabir
Author_Institution :
Dept. of Biomed. Eng., Univ. of Bridgeport, Bridgeport, CT, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
To date, radiologists evaluate neoplasm images manually. Currently there is wide spread attention for developing image processing modules to detect and measure early stage neoplasm growth in liver. We report the fundamentals associated with the development of a multifunctional image processing algorithm useful to measure early growth of neoplasm and the volume of liver. Using CADLN, a radiologist will be able to compare computer generated volumetric data in serial imaging of the patients over time, that eventually will enable assessing progression or regression of neoplasm growth and help in treatment planning.
Keywords :
computerised tomography; image registration; liver; medical image processing; tumours; computer assisted detection; computer generated volumetric data; computerised tomography; image processing modules; liver neoplasm; multifunctional image processing algorithm; neoplasm growth progression; neoplasm growth regression; neoplasm images; radiologists; serial imaging; treatment planning; Cancer; Computed tomography; Filtering; Image segmentation; Liver; Neoplasms; Tumors; Algorithms; Cluster Analysis; Humans; Image Processing, Computer-Assisted; Liver Neoplasms; Radiography, Abdominal; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346228
