Ultrasound Based Three Dimensional Computer Aided Diagnosis (CAD) Tool for the Diagnosis of Anterior Talofibular Ligament

Ultrasound imaging is an investigative tool to imagine the internal organisms of human beings. Ultrasound imaging has benefits such as low cost, portability, non-ionization and real time nature. However, ultrasound imaging has limitations also like homogenous intensity regions, homogeneous textures and low contrast regions. To overcome these investigated problems, this research is developed a Computer Aided Diagnosis (CAD) system that helped in the achievement of efficient segmentation and three dimensional reconstruction of anterior talofibular ligament to enhance the diagnosis. The developed CAD system would provide the information about the input dataset, segmented results and statistical analysis of injured anterior talofibular ligament. The analysis based on the obtained results indicates the improved performance of the developed CAD system with more than 94 % accurate results. In addition, this research opens new research dimensions for efficient musculoskeletal ultrasound modelling that makes it useful in clinical settings with accurate and cost effective diagnosis of anterior talofibular ligament injuries.

[1]  K. M. Chan,et al.  An epidemiological survey on ankle sprain. , 1994, British journal of sports medicine.

[2]  A. Silva,et al.  Incidência de lesões musculoesqueléticas em atletas de elite do basquetebol feminino , 2007 .

[3]  C. Schneck,et al.  MR imaging of the most commonly injured ankle ligaments. Part II. Ligament injuries. , 1992, Radiology.

[4]  Varun Jeoti,et al.  Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images , 2015 .

[5]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[6]  Mandava Rajeswari,et al.  Wavelet energy-guided level set-based active contour: A segmentation method to segment highly similar regions , 2010, Comput. Biol. Medicine.

[7]  B. Hintermann,et al.  Anatomical Study of the Medial Ankle Ligament Complex , 2002, Foot & ankle international.

[8]  Olivier Basset,et al.  Segmentation of ultrasound images--multiresolution 2D and 3D algorithm based on global and local statistics , 2003, Pattern Recognit. Lett..

[9]  Jochen Schmähling,et al.  Statistical characterization of technical surface microstructure , 2006 .

[10]  S. Mulligan,et al.  Heterotopic calcification and tears of the ulnar collateral ligament: radiographic and MR imaging findings. , 2000, AJR. American journal of roentgenology.

[11]  A. Cosgarea,et al.  Physical Examination and Imaging of the Lateral Collateral Ligament and Posterolateral Corner of the Knee , 2006, Sports medicine and arthroscopy review.

[12]  R. Hawkins,et al.  Tension studies of human knee ligaments. Yield point, ultimate failure, and disruption of the cruciate and tibial collateral ligaments. , 1976, The Journal of bone and joint surgery. American volume.

[13]  AW Eisenhart,et al.  Osteopathic manipulative treatment in the emergency department for patients with acute ankle injuries , 2003, The Journal of the American Osteopathic Association.

[14]  Wolf Petersen,et al.  Symptomatic calcification of the medial collateral ligament of the knee joint: a report about five cases , 2005, Knee Surgery, Sports Traumatology, Arthroscopy.

[15]  Sayali Nimkar,et al.  Contrast Enhancement And Brightness Preservation Using Multi- Decomposition Histogram Equalization , 2013, ArXiv.

[16]  P. Hecht,et al.  Ankle ligaments on MRI: appearance of normal and injured ligaments. , 2009, AJR. American journal of roentgenology.

[17]  Varun Jeoti,et al.  3D reconstruction of ATFL ligament using ultrasound images , 2014, 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS).

[18]  Marie-Françoise Devaux,et al.  COMPUTATION OF MINKOWSKI MEASURES ON 2D AND 3D BINARY IMAGES , 2011 .

[19]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[20]  Peter J. Bentley,et al.  Perceptive particle swarm optimisation: an investigation , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[21]  Akshya Swain,et al.  Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images , 2016, BioMedical Engineering OnLine.

[22]  L Broström,et al.  Sprained ankles. V. Treatment and prognosis in recent ligament ruptures. , 1966, Acta chirurgica Scandinavica.

[23]  Varun Jeoti,et al.  Automatic Ultrasound Image Segmentation Framework Based on Darwinian Particle Swarm Optimization , 2015 .

[24]  R. Miyamoto,et al.  Management of Medial Collateral Ligament Injuries in the Knee: An Update and Review , 2010, The Physician and sportsmedicine.

[25]  Vikrant Bhateja,et al.  A Novel Weighted Diffusion Filtering Approach for Speckle Suppression in Ultrasound Images , 2013, FICTA.

[26]  K. J. Anderson,et al.  Operative treatment of injury to the fibular collateral ligament of the ankle. , 1954, The Journal of bone and joint surgery. American volume.

[27]  Abhir Bhalerao,et al.  Integral geometry descriptors for characterizing emphysema and lung fibrosis in HRCT images , 2008 .

[28]  R. Smith,et al.  Treatment of ankle sprains in young athletes , 1986, The American journal of sports medicine.

[29]  Vikrant Bhateja,et al.  A Modified Speckle Suppression Algorithm for Breast Ultrasound Images Using Directional Filters , 2014 .

[30]  Kesari Verma,et al.  Objective and Optical Evaluation of Despeckle Filters in Breast Ultrasound Images , 2015 .

[31]  Akshya Swain,et al.  Modeling of Interpolation Methods for Robot Assisted and Freehand Ultrasound Imaging System , 2015 .

[32]  Ye Yuan,et al.  Adaptive active contours without edges , 2012, Math. Comput. Model..

[33]  J. Lysholm,et al.  Rating systems in the evaluation of knee ligament injuries. , 1985, Clinical orthopaedics and related research.

[34]  Pere J Riu.  Book review of “Biomagnetics: Principles and Applications of Biomagnetic Stimulation and Imaging” edited by Shoogo Ueno and Masaki Sekino , 2016, Biomedical engineering online.

[35]  Vikrant Bhateja,et al.  A comparative evaluation of various de-speckling algorithms for medical images , 2012, CUBE.

[36]  Guy Cloutier,et al.  Segmentation method of intravascular ultrasound images of human coronary arteries , 2014, Comput. Medical Imaging Graph..

[37]  B. Koes,et al.  What is the clinical course of acute ankle sprains? A systematic literature review. , 2008, The American journal of medicine.

[38]  R. Wexler.  The injured ankle. , 1998, American family physician.

[39]  Varun Jeoti,et al.  3D Reconstruction of CFL Ligament Based on Ultrasonographic Images , 2015, IVIC.

[40]  R. Marder,et al.  Current methods for the evaluation of ankle ligament injuries. , 1994, Instructional course lectures.