Imaging Breast Microcalcifications Using Dark-Field Signal in Propagation-Based Phase-Contrast Tomography

被引：12

作者：

Aminzadeh, A. ^{[1
]}

Arhatari, B. D. ^{[2
,3
]}

Maksimenko, A. ^{[2
]}

Hall, C. J. ^{[2
]}

Hausermann, D. ^{[2
]}

Peele, A. G. ^{[2
]}

Fox, J. ^{[4
]}

Kumar, B. ^{[4
]}

Prodanovic, Z. ^{[4
]}

Dimmock, M. ^{[5
,6
]}

Lockie, D. ^{[7
]}

Pavlov, K. M. ^{[8
,9
,10
]}

Nesterets, Y., I ^{[1
,10
,11
]}

Thompson, D. ^{[1
,10
,11
]}

Mayo, S. C. ^{[11
]}

Paganin, D. M. ^{[9
]}

Taba, S. T. ^{[12
]}

Lewis, S. ^{[12
]}

Brennan, P. C. ^{[12
]}

Quiney, H. M. ^{[1
,12
]}

Gureyev, T. E. ^{[1
,13
]}

机构：

[1] Univ Melbourne, Sch Phys, Parkville, Vic 3010, Australia

[2] ANSTO, Australian Synchrotron, Clayton, Vic 3168, Australia

[3] La Trobe Univ, Dept Chem & Phys, Bundoora, Vic 3086, Australia

[4] Monash Univ, Fac Med Nursing & Hlth Sci, Clayton, Vic 3800, Australia

[5] Monash Univ, Dept Med Imaging & Radiat Sci, Clayton, Vic 3800, Australia

[6] Keele Univ, Sch Allied Hlth Profess, Newcastle ST5 5BG, Staffs, England

[7] Maroondah BreastScreen, Ringwood, Vic 3135, Australia

[8] Univ Canterbury, Sch Phys & Chem Sci, Christchurch 8041, New Zealand

[9] Monash Univ, Sch Phys & Astron, Clayton, Vic 3800, Australia

[10] Univ New England, Sch Sci & Technol, Armidale, NSW 2350, Australia

[11] CSIRO, Clayton, Vic 3168, Australia

[12] Univ Sydney, Fac Hlth Sci, Lidcombe, NSW 2141, Australia

[13] Monash Univ, Sch Phys & Astron, Clayton, Vic 3168, Australia

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2022年 / 41卷 / 11期

基金：

英国医学研究理事会;

关键词：

Breast; X-ray imaging; Computed tomography; Australia; Imaging; Breast cancer; Detectors; dark-field imaging; microcalcifications; propagation-based phase-contrast CT; MEDICAL BEAMLINE; CT; TOMOSYNTHESIS; MAMMOGRAPHY; PERFORMANCE; RETRIEVAL;

D O I：

10.1109/TMI.2022.3175924

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Breast microcalcifications are an important primary radiological indicator of breast cancer. However, microcalcification classification and diagnosis may be still challenging for radiologists due to limitations of the standard 2D mammography technique, including spatial and contrast resolution. In this study, we propose an approach to improve the detection of microcalcifications in propagation-based phase-contrast X-ray computed tomography of breast tissues. Five fresh mastectomies containing microcalcifications were scanned at different X-ray energies and radiation doses using synchrotron radiation. Both bright-field (i.e. conventional phase-retrieved images) and dark-field images were extracted from the same data sets using different image processing methods. A quantitative analysis was performed in terms of visibility and contrast-to-noise ratio of microcalcifications. The results show that while the signal-to-noise and the contrast-to-noise ratios are lower, the visibility of the microcalcifications is more than two times higher in the dark-field images compared to the bright-field images. Dark-field images have also provided more accurate information about the size and shape of the microcalcifications.

引用

页码：2980 / 2990

页数：11