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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

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. s. 3178-3181 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Karemore, G, Brandt, S, Sporring, J & Nielsen, M 2010, Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment. i 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, s. 3178-3181, 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 31/08/2010. https://doi.org/10.1109/IEMBS.2010.5627183

APA

Karemore, G., Brandt, S., Sporring, J., & Nielsen, M. (2010). Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment. I 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (s. 3178-3181). IEEE. I E E E Engineering in Medicine and Biology Society. Conference Proceedings https://doi.org/10.1109/IEMBS.2010.5627183

Vancouver

Karemore G, Brandt S, Sporring J, Nielsen M. Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment. I 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. 2010. s. 3178-3181. (I E E E Engineering in Medicine and Biology Society. Conference Proceedings). https://doi.org/10.1109/IEMBS.2010.5627183

Author

Karemore, Gopal ; Brandt, Sami ; Sporring, Jon ; Nielsen, Mads. / Anisotropic diffusion tensor applied to temporal mammograms : an application to breast cancer risk assessment. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2010. s. 3178-3181 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

Bibtex

@inproceedings{421d8220753911df928f000ea68e967b,
title = "Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment",
abstract = " 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.",
keywords = "Faculty of Science",
author = "Gopal Karemore and Sami Brandt and Jon Sporring and Mads Nielsen",
note = "Paper id:: 2023; 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2010 ; Conference date: 31-08-2010 Through 04-09-2010",
year = "2010",
doi = "10.1109/IEMBS.2010.5627183",
language = "English",
isbn = "978-1-4244-4123-5",
series = "I E E E Engineering in Medicine and Biology Society. Conference Proceedings",
publisher = "IEEE",
pages = "3178--3181",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

}

RIS

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