Phantom experiments using soft-prior regularization EIT for breast cancer imaging

Physiological Measurement
Ethan K MurphyR J Halter

Abstract

A soft-prior regularization (SR) electrical impedance tomography (EIT) technique for breast cancer imaging is described, which shows an ability to accurately reconstruct tumor/inclusion conductivity values within a dense breast model investigated using a cylindrical and a breast-shaped tank. The SR-EIT method relies on knowing the spatial location of a suspicious lesion initially detected from a second imaging modality. Standard approaches (using Laplace smoothing and total variation regularization) without prior structural information are unable to accurately reconstruct or detect the tumors. The soft-prior approach represents a very significant improvement to these standard approaches, and has the potential to improve conventional imaging techniques, such as automated whole breast ultrasound (AWB-US), by providing electrical property information of suspicious lesions to improve AWB-US's ability to discriminate benign from cancerous lesions. Specifically, the best soft-regularization technique found average absolute tumor/inclusion errors of 0.015 S m(-1) for the cylindrical test and 0.055 S m(-1) and 0.080 S m(-1) for the breast-shaped tank for 1.8 cm and 2.5 cm inclusions, respectively. The standard approaches were statistic...Continue Reading

References

Jul 1, 1992·IEEE Transactions on Bio-medical Engineering·E J WooW J Tompkins
Apr 1, 1988·IEEE Transactions on Bio-medical Engineering·A J SurowiecA Swarup
Apr 2, 1998·Physiological Measurement·J Jossinet
Jun 18, 1999·Annals of the New York Academy of Sciences·J Jossinet, M Schmitt
Nov 27, 2001·European Journal of Cancer : Official Journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR)·A MalichW A Kaiser
Aug 9, 2002·IEEE Transactions on Medical Imaging·Andrea BorsicChristopher N McLeod
Jun 19, 2003·Physiological Measurement·Nirmal K SoniKeith D Paulsen
Jun 24, 2005·Investigative Radiology·Michael H FuchsjaegerThomas H Helbich
Jan 21, 2006·AJR. American Journal of Roentgenology·Laura LibermanD David Dershaw
Dec 1, 2007·Journal of Surgical Oncology·Alexander StojadinovicDavid Gur
Jan 1, 1995·IEEE Transactions on Medical Imaging·M Glidewell, K T Ng
Feb 14, 2008·IEEE Transactions on Bio-medical Engineering·Ryan J HalterKeith D Paulsen
May 15, 2008·JAMA : the Journal of the American Medical Association·Wendie A BergUNKNOWN ACRIN 6666 Investigators
Sep 26, 2008·IEEE Transactions on Medical Imaging·Gregory BovermanJonathan C Newell
Jan 7, 2010·IEEE Transactions on Medical Imaging·Andrea BorsicWilliam R B Lionheart
Jul 26, 2011·Seminars in Ultrasound, CT, and MR·Kevin M Kelly, Gary A Richwald
Oct 5, 2013·Medical Physics·Paul M MeaneyKeith D Paulsen
Jul 30, 2014·IEEE Transactions on Medical Imaging·Ryan J HalterKeith D Paulsen
Nov 7, 2014·IEEE Transactions on Medical Imaging·Shadab KhanRyan Halter
Jan 24, 2017·IEEE Transactions on Medical Imaging·Ethan K MurphyRyan J Halter

❮ Previous
Next ❯

Citations

Apr 19, 2018·Physiological Measurement·Ethan K MurphyRyan J Halter
Dec 23, 2017·Physiological Measurement·Eoghan DunneEmily Porter
Jun 8, 2021·Journal of Computational and Applied Mathematics·Melody AlsakerJennifer L Mueller

❮ Previous
Next ❯

Related Concepts

Related Feeds

Cancer Imaging

Imaging techniques, including CT and MR, have become essential to tumor detection, diagnosis, and monitoring. Here is the latest research on cancer imaging.