Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment
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Anisotropic diffusion tensor applied to temporal mammograms : an application to breast cancer risk assessment. / Karemore, Gopal; Brandt, Sami; Sporring, Jon; Nielsen, Mads.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2010. p. 3178-3181 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Anisotropic diffusion tensor applied to temporal mammograms
T2 - 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
AU - Karemore, Gopal
AU - Brandt, Sami
AU - Sporring, Jon
AU - Nielsen, Mads
N1 - Conference code: 32
PY - 2010
Y1 - 2010
N2 - Breast density is considered a structural property of a mammogram that can change in various ways explaining different effects of medicinal treatments. The aim of the present work is to provide a framework for obtaining more accurate and sensitive measurements of breast density changes related to specific effects like Hormonal Replacement Therapy (HRT) and aging. Given effect-grouped patient data, we demonstrated how anisotropic diffusion tensor and its coherence features computed in an anatomically oriented breast coordinate system followed by statistical learning scheme provides non subjective and reproducible measure compare it to the traditional BIRADS and computer aided percent density measure. We also demonstrate how orientation of breast tissue changes in temporal study. This framework facilitates radiologist to assess breast tissue change and guide them to evaluate individual risk of having breast cancer.
AB - Breast density is considered a structural property of a mammogram that can change in various ways explaining different effects of medicinal treatments. The aim of the present work is to provide a framework for obtaining more accurate and sensitive measurements of breast density changes related to specific effects like Hormonal Replacement Therapy (HRT) and aging. Given effect-grouped patient data, we demonstrated how anisotropic diffusion tensor and its coherence features computed in an anatomically oriented breast coordinate system followed by statistical learning scheme provides non subjective and reproducible measure compare it to the traditional BIRADS and computer aided percent density measure. We also demonstrate how orientation of breast tissue changes in temporal study. This framework facilitates radiologist to assess breast tissue change and guide them to evaluate individual risk of having breast cancer.
KW - Faculty of Science
U2 - 10.1109/IEMBS.2010.5627183
DO - 10.1109/IEMBS.2010.5627183
M3 - Article in proceedings
C2 - 21096598
SN - 978-1-4244-4123-5
T3 - I E E E Engineering in Medicine and Biology Society. Conference Proceedings
SP - 3178
EP - 3181
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PB - IEEE
Y2 - 31 August 2010 through 4 September 2010
ER -
ID: 41814315