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A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters

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Abstract
In this paper we introduce a new speckle suppression technique for medical ultrasound images that incorporates morphological properties of speckle as well as tissue classifying parameters. Each individual speckles is located, and, exploiting our prior knowledge on the tissue classification, it is determined whether this speckle is noise or a medically relevant detail. We apply the technique on images of neonatal brains affected by White Matter Damage (leukomalacia). The results show that applying an active contour on a processed image, in order to segment the affected areas, yields a segmentation much closer to that of an expert.
Keywords
ENHANCEMENT, STATISTICS, SUPPRESSION, tissue classification, morphology, texture, medical ultrasound, speckle, PROSTATE, FILTER, MODEL, NOISE

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Chicago
Stippel, Gjenna, Wilfried Philips, and Ignace Lemahieu. 2002. “A New Denoising Technique for Ultrasound Images Using Morphological Properties of Speckle Combined with Tissue Classifying Parameters.” In Proceedings of the Society of Photo-optical Instrumentation Engineers (spie), ed. MF Insana and WF Walker, 4687:324–333. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Stippel, G., Philips, W., & Lemahieu, I. (2002). A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters. In M. Insana & W. Walker (Eds.), PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Vol. 4687, pp. 324–333). Presented at the Medical Imaging 2002 Conference, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Stippel G, Philips W, Lemahieu I. A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters. In: Insana M, Walker W, editors. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE). Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2002. p. 324–33.
MLA
Stippel, Gjenna, Wilfried Philips, and Ignace Lemahieu. “A New Denoising Technique for Ultrasound Images Using Morphological Properties of Speckle Combined with Tissue Classifying Parameters.” Proceedings of the Society of Photo-optical Instrumentation Engineers (spie). Ed. MF Insana & WF Walker. Vol. 4687. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2002. 324–333. Print.
@inproceedings{402486,
  abstract     = {In this paper we introduce a new speckle suppression technique for medical ultrasound images that incorporates morphological properties of speckle as well as tissue classifying parameters. Each individual speckles is located, and, exploiting our prior knowledge on the tissue classification, it is determined whether this speckle is noise or a medically relevant detail.
We apply the technique on images of neonatal brains affected by White Matter Damage (leukomalacia). The results show that applying an active contour on a processed image, in order to segment the affected areas, yields a segmentation much closer to that of an expert.},
  author       = {Stippel, Gjenna and Philips, Wilfried and Lemahieu, Ignace},
  booktitle    = {PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)},
  editor       = {Insana, MF and Walker, WF},
  isbn         = {0-8194-4432-4},
  issn         = {0277-786X},
  keyword      = {ENHANCEMENT,STATISTICS,SUPPRESSION,tissue classification,morphology,texture,medical ultrasound,speckle,PROSTATE,FILTER,MODEL,NOISE},
  language     = {eng},
  location     = {San Diego, CA, USA},
  pages        = {324--333},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters},
  url          = {http://dx.doi.org/10.1117/12.462169},
  volume       = {4687},
  year         = {2002},
}

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