Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment

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 the 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, as compared 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 the 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, as compared 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 -