Optimization of pancreas measurement techniques based on ultrasound images

Ultrasound imaging can be used in evaluating the acute pancreatitis, which often shows an enlarged pancreas as well as in detecting the diabetes mellitus, which the pancreas is smaller compared to normal size. Besides, these imaging techniques can be used in detecting stones in the bile duct and help in assessing the pancreatic parenchyma directly. This study proposes an approach for optimizing the pancreas measurement technique based on ultrasound images consists of image enhancement as well as image segmentation. For image enhancement, four techniques have been compared by calculating the MSE and PSNR of the output image. Level sets method has been applied for segmentation the pancreas after enhancement. This was to enable the higher accuracy of pancreas size measurement. Measurement results show that median filter gives the lowest value of MSE and highest value of PSNR compared to frequency domain Gaussian low-pass filter, histogram equalization and wavelet filter. We found that the pancreas size of Malaysian population is 8.5 ± 1.5 cm in length. Key-Words: pancreatic disease, acute pancreatitis, median filter, wavelet filter, pancreas size

[1]  R. S. Anand,et al.  Image quality based comparative evaluation of wavelet filters in ultrasound speckle reduction , 2005, Digit. Signal Process..

[2]  Chunming Li,et al.  Level set evolution without re-initialization: a new variational formulation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[3]  Vibhakar Shrimali,et al.  Comparing the Performance of Ultrasonic Liver Image Enhancement Techniques: A Preference Study , 2010 .

[4]  Adeela Arooj,et al.  Automatic non invasive kidney volume measurement based on ultrasound image , 2011 .

[5]  D.C. Liu,et al.  Ultrasound Image Enhancement using Dynamic Filtering , 2007, Fourth International Conference on Image and Graphics (ICIG 2007).

[6]  Hui Zhu,et al.  Image Contrast Enhancement by Constrained Local Histogram Equalization , 1999, Comput. Vis. Image Underst..

[7]  M. Büchler,et al.  IAP Guidelines for the Surgical Management of Acute Pancreatitis , 2003, Pancreatology.

[8]  Robert A. Rizza,et al.  β-Cell Deficit and Increased β-Cell Apoptosis in Humans With Type 2 Diabetes , 2003, Diabetes.

[9]  Robert A Rizza,et al.  Beta-cell deficit and increased beta-cell apoptosis in humans with type 2 diabetes. , 2003, Diabetes.

[10]  J. Buscaglia,et al.  Acute pancreatitis. , 2010, Journal of hospital medicine.

[11]  Oleg V. Michailovich,et al.  Segmentation of Medical Ultrasound Images using Active Contours , 2007, 2007 IEEE International Conference on Image Processing.

[12]  Brian L Mealey,et al.  Diabetes mellitus and periodontal disease. , 2007, Periodontology 2000.

[13]  Eko Supriyanto,et al.  Automatic ultrasound kidney's centroid detection system , 2011 .

[14]  C. McKay,et al.  Natural History of Organ Failure in Acute Pancreatitis , 2003, Pancreatology.

[15]  Ali Hekmatnia,et al.  ULTRASONOGRAPHIC ALTERATIONS OF PANCREAS IN DIABETIC PATIENTS , 2007 .

[16]  H. T. Howat,et al.  Ultrasonic scanning in pancreatic disease. , 1978, Gut.

[17]  Jing Zhang,et al.  An Adaptive Edge Enhancement Method Based on Histogram Matching for Ultrasound Images , 2010, 2010 International Conference on Computational and Information Sciences.

[18]  P. Dandona,et al.  Size of pancreas in diabetes mellitus: a study based on ultrasound. , 1985, British medical journal.

[19]  Vibhakar Shrimali,et al.  Current Trends in Segmentation of Medical Ultrasound B-mode Images: A Review , 2009 .

[20]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[21]  Gupta Supratim,et al.  Comparative Evaluation of Ultrasound Kidney Image Enhancement Techniques , 2011 .

[22]  J. Alison Noble,et al.  Ultrasound image segmentation: a survey , 2006, IEEE Transactions on Medical Imaging.

[23]  Emma Altobelli,et al.  Size of pancreas in children and adolescents with type I (insulin‐dependent) diabetes , 1998, Journal of clinical ultrasound : JCU.

[24]  Mahani Hafizah,et al.  3D ultrasound image reconstruction based on VTK , 2010 .

[25]  A Alzaid,et al.  The Size of the Pancreas in Diabetes Mellitus , 1993, Diabetic medicine : a journal of the British Diabetic Association.

[26]  A. Foulis,et al.  The pancreas in recent-onset Type 1 (insulin-dependent) diabetes mellitus: insulin content of islets, insulitis and associated changes in the exocrine acinar tissue , 1984, Diabetologia.

[27]  H. D. Cheng,et al.  A simple and effective histogram equalization approach to image enhancement , 2004, Digit. Signal Process..

[28]  Eko Supriyanto,et al.  Development of 3D image reconstruction based on untracked 2D fetal phantom ultrasound images using VTK , 2010 .

[29]  Eko Supriyanto,et al.  Segmentation of carotid artery wall towards early detection of alzheimer disease , 2011 .

[30]  S. Arumuga Perumal,et al.  Contrast Improvement of Radiographic Images in Spatial Domain by Edge Preserving Filters , 2010 .