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Critical Reviews™ in Biomedical Engineering

Publication de 6  numéros par an

ISSN Imprimer: 0278-940X

ISSN En ligne: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

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Breast Image Registration and Deformation Modeling

Volume 40, Numéro 3, 2012, pp. 235-258
DOI: 10.1615/CritRevBiomedEng.v40.i3.60
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RÉSUMÉ

Image-based examination of the breast facilitates the detection of breast diseases, particularly of present benign and malignant lesions. For computer-aided processing of serial and multimodal clinical data, both for visual correlation and quantitative analysis, automated image-registration methods are an indispensable tool. The wide range of modalities and the high variability of breast appearance have led to a large diversity of proposed approaches for tissue deformation modeling and image registration. In this article, we review current developments in breast image registration techniques, and comment on their clinical relevance, individual capabilities, and open challenges.

CITÉ PAR
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  2. Hipwell John H, Vavourakis Vasileios, Han Lianghao, Mertzanidou Thomy, Eiben Björn, Hawkes David J, A review of biomechanically informed breast image registration, Physics in Medicine and Biology, 61, 2, 2016. Crossref

  3. Meiburger Kristen M., Quantitative Assessment of Cancer Vascular Architecture by Skeletonization of 3D CEUS Images: Role of Liposomes and Microbubbles, in Quantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters, 2017. Crossref

  4. Molinari F., Meiburger K. M., Giustetto P., Rizzitelli S., Boffa C., Castano M., Terreno E., Quantitative Assessment of Cancer Vascular Architecture by Skeletonization of High-Resolution 3-D Contrast-Enhanced Ultrasound Images: Role of Liposomes and Microbubbles, Technology in Cancer Research & Treatment, 13, 6, 2014. Crossref

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