Выходит 6 номеров в год
ISSN Печать: 0278-940X
ISSN Онлайн: 1943-619X
Indexed in
Breast Image Registration and Deformation Modeling
Краткое описание
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.
-
Giers Morgan B., McLaren Alex C., Plasencia Jonathan D., Frakes David, McLemore Ryan, Caplan Michael R., Spatiotemporal Quantification of Local Drug Delivery Using MRI, Computational and Mathematical Methods in Medicine, 2013, 2013. Crossref
-
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
-
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
-
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