The resolution integral: Visual and computational approaches to characterizing ultrasound images

Physics in Medicine and Biology

Volumn 55, Issue 17, 2010, Pages 5067-5088

  MacGillivray, T J ^a   Ellis, W ^b   Pye, S D ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b ROYAL INFIRMARY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ECHOGRAPHY; IMAGE PROCESSING; IMAGE QUALITY; INSTRUMENTATION; METHODOLOGY; QUALITY CONTROL; TRANSDUCER; ULTRASOUND;

ALGORITHMS; IMAGE PROCESSING, COMPUTER-ASSISTED; PHANTOMS, IMAGING; QUALITY CONTROL; TRANSDUCERS; ULTRASONICS; ULTRASONOGRAPHY;

EID: 78149288388     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/55/17/012     Document Type: Article

References (33)

1. Bland J M and Altman D G 1986 Statistical methods for assessing agreement between two methods of clinical measurement Lancet 1 307-10
2. Browne J E, Watson A J, Gibson N M, Dudley N J and Elliot A T 2004 Objective measurements of image quality Ultrasound Med. Biol. 30 229-37
3. Burckhardt C B 1978 Speckle in ultrasound B-mode scans IEEE Trans. Sonics Ultrason. SU-25 1-6
4. Canny J A 1986 A computational approach to edge detection IEEE Trans. Pattern Anal. Mach. Intell. 8 679-98
5. Czerwinski R N, Jones D L and O'Brien W D 1998 Line and boundary detection in speckle images IEEE Trans. Image Process. 7 1700-14
6. Gibson N M, Dudley N J and Griffith K 2001 A computerised quality control testing system for B-mode ultrasound Ultrasound Med. Biol. 27 1697-711
7. Gonzalez R C and Woods R E 2002 Digital Image Processing (Upper Saddle River, NJ: Prentice Hall)
8. Gupta S, Chauhan R C and Saxena S C 2005 Locally adaptive wavelet domain Bayesian processor for denoising medical ultrasound images using speckle modelling based on Rayleigh distribution IEE Proc., Vis. Image Signal Process. 152 129-35
9. Hamou A K and El-Sakka M R 2004 A novel segmentation technique for carotid ultrasound images IEEE Proc. Acoust. Speech Signal Process. 3 521-4
10. Hanna C W and Youssef A B M 1997 Automated measurements in obstetric ultrasound images Proc. Int. Conf. on Image Processing 3-Volume Set-Volume 3 p 714
11. IEC 1996 Ultrasonics real-time pulse-echo systems-guide for test procedures to determine performance specifications Publication 1390 (Geneva: International Electrotechnical Commission)
12. IEC 2006 Ultrasonics pulse-echo scanners-part 1: techniques for calibrating spatial measurement systems and measurement of system point-spread function response Publication 61391-1 (Geneva: International Electrotechnical Commission)
13. Inglis S, Ramnarine K V, Plevris J N and McDicken W N 2006 An anthropomorphic tissue-mimicking phantom of the oesophagus for endoscopic ultrasound Ultrasound Med. Biol. 32 249-59
14. Ito M, Tsubai M and Takemura A 1999 Morphological operations by locally variable structuring elements and their applications to region extraction in ultrasound images Proc. 1st Joint BMES/EMBS Conf. vol 2 p 1147
15. Kofler J M and Madsen E L 2001 Improved method for determining resolution zones in ultrasound phantoms with spherical simulated lesions Ultrasound Med. Biol 27 1667-76
16. Loupas T, McDicken W N and Allan P L 1987 Noise reduction in ultrasonic images by digital filtering Br. J. Radiol. 60 389-92
17. Loupas T, McDicken W N and Allan P L 1989 An adaptive weighted median filter for speckle suppression in medical ultrasonic images IEEE Trans. Circuits Syst. 36 129-35
18. Madson E L 2000 Quality assurance for grey-scale imaging Ultrasound Med. Biol. 26 (Suppl. 1) S48-50
19. MDA 1999 Further revisions to the guidance notes for ultrasound scanners used in the examination of the breast, with protocol for quality testing Evaluation Report MDA/98/52 Medical Devices Agency
20. Moran C M, Ellis W, Janeczko A, Bell D and Pye S D 2010a The Edinburgh pipe phantom: characterising ultrasound scanners beyond 50 MHz J. Phys.: Conf. Ser. submitted
21. Moran C M, Pye S D, Ellis W, Janeczko A, Morris K D, McNeilly A S and Fraser H M 2010b A comparison of the imaging performance of high resolution ultrasound scanners for pre-clinical imaging Ultrasound Med. Biol. at press
22. Moran C M, Smart S, Ellis W and Pye S D 2008 Characterising the performance of a high resolution ultrasound scanner for pre-clinical ultrasound imaging Proc. 2008 IEEE Ultrasonics Symp. pp 1724-7
23. Pizurica A and Philips W 2003 A versatile wavelet domain noise filtration technique for medical imaging IEEE Trans. Med. Imaging 22 323-31
24. Pye S D and Ellis W 2002 Assessing the quality of images produced by an ultrasound scanner UK Patent GB2396213
25. Pye S D and Ellis W 2010 The resolution integral as a metric of performance for diagnostic grey-scale imaging J. Phys.: Conf. Ser. submitted
26. Pye S D, Ellis W and MacGillivray T J 2004 Medical ultrasound: a new metric of performance for grey-scale imaging J. Phys.: Conf. Ser. 1 187-92
27. Ramnarine K V, Anderson T and Hoskins P R 2001 Construction and geometric stability of physiological flow rate wall-less stenosis phantoms Ultrasound Med. Biol. 27 245-50
28. RCR 2005 Standards for ultrasound equipment Publication BFCR (05) 1 (London: Royal College of Radiologists)
29. Rowland D E, Newey V R, Turner D P and Nassiri D K 2009 The automated assessment of ultrasound scanner lateral and slice thickness resolution: use of the step response Ultrasound Med. Biol. 35 1525-34
30. Shaw A and Hekkenberg R 2007 Standards to support performance evaluation for diagnostic ultrasound imaging equipment NPL Report AC 2 (London: National Physical Laboratory)
31. Thijssen J M, Weijers G and de Korte C L 2007 Objective performance testing and quality assurance of medical ultrasound equipment Ultrasound Med. Biol. 33 460-71
32. Yu Y and Acton S T 2002 Speckle reducing anisotropic diffusion IEEE Trans. Image Process. 11 1260-670
33. Yu Y and Acton S T 2004 Edge detection in ultrasound imagery using the instantaneous coefficient of variation IEEE Trans. Image Process. 13 1640-55