國立虎尾科技大學 |

An Introduction to Microwave Imaging for Breast Cancer Detection

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An Introduction to Microwave Imaging for Breast Cancer Detection/ edited by Raquel Cruz Conceição, Johan Jacob Mohr, Martin O'Halloran.
其他作者:	Conceição, Raquel Cruz.
面頁冊數:	XIII, 144 p. 43 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Medical physics. -
電子資源:	https://doi.org/10.1007/978-3-319-27866-7
ISBN:	9783319278667

An Introduction to Microwave Imaging for Breast Cancer Detection
An Introduction to Microwave Imaging for Breast Cancer Detection[electronic resource] /edited by Raquel Cruz Conceição, Johan Jacob Mohr, Martin O'Halloran. - 1st ed. 2016. - XIII, 144 p. 43 illus., 22 illus. in color.online resource. - Biological and Medical Physics, Biomedical Engineering,1618-7210. - Biological and Medical Physics, Biomedical Engineering,.

1 Introduction -- 2 Anatomy and Dielectric Properties of the Breast and Breast Cancer -- 3 Microwave Tomography -- 4 Confocal Microwave Imaging -- 5 Tumour Classification -- 6 Experimental Systems.

This book collates past and current research on one of the most promising emerging modalities for breast cancer detection. Readers will discover how, as a standalone technology or in conjunction with another modality, microwave imaging has the potential to provide reliable, safe and comfortable breast exams at low cost. Current breast imaging modalities include X- ray, Ultrasound, Magnetic Resonance Imaging, and Positron Emission Tomography. Each of these methods suffers from limitations, including poor sensitivity or specificity, high cost, patient discomfort, and exposure to potentially harmful ionising radiation. Microwave breast imaging is based on a contrast in the dielectric properties of breast tissue that exists at microwave frequencies. The book begins by considering the anatomy and dielectric properties of the breast, contrasting historical and recent studies. Next, radar-based breast imaging algorithms are discussed, encompassing both early-stage artefact removal, and data independent and adaptive beamforming algorithms. Similarly, microwave tomographic reconstruction algorithms are reviewed, introducing the reader to both the fundamental and more advanced algorithms. The book also reviews research efforts to extract clinically useful information from the radar target signature of breast tumours. Finally, the book concludes by describing the state of the art prototype microwave breast imaging systems, with a particular emphasis on those which have progressed to the clinical evaluation stage. This work is motivated by the fact that breast cancer is one of the leading causes of death amongst women in Europe and the US, and the second most common cancer in the world today. Such an important area of research will appeal to many scholars and practitioners.

ISBN: 9783319278667

Standard No.: 10.1007/978-3-319-27866-7doiSubjects--Topical Terms:

588800
Medical physics.

LC Class. No.: QC474-496.9

Dewey Class. No.: 610.153

An Introduction to Microwave Imaging for Breast Cancer Detection
LDR:03546nam a22004335i 4500 001 974510
003 DE-He213
005 20200706205949.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319278667 $9 978-3-319-27866-7
024 7 $a 10.1007/978-3-319-27866-7 $2 doi
035 $a 978-3-319-27866-7
050 4 $a QC474-496.9
050 4 $a R895-920
072 7 $a PHVD $2 bicssc
072 7 $a SCI058000 $2 bisacsh
072 7 $a MKSH $2 thema
072 7 $a PNRL $2 thema
082 0 4 $a 610.153 $2 23
245 1 3 $a An Introduction to Microwave Imaging for Breast Cancer Detection $h [electronic resource] / $c edited by Raquel Cruz Conceição, Johan Jacob Mohr, Martin O'Halloran.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XIII, 144 p. 43 illus., 22 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Biological and Medical Physics, Biomedical Engineering, $x 1618-7210
505 0 $a 1 Introduction -- 2 Anatomy and Dielectric Properties of the Breast and Breast Cancer -- 3 Microwave Tomography -- 4 Confocal Microwave Imaging -- 5 Tumour Classification -- 6 Experimental Systems.
520 $a This book collates past and current research on one of the most promising emerging modalities for breast cancer detection. Readers will discover how, as a standalone technology or in conjunction with another modality, microwave imaging has the potential to provide reliable, safe and comfortable breast exams at low cost. Current breast imaging modalities include X- ray, Ultrasound, Magnetic Resonance Imaging, and Positron Emission Tomography. Each of these methods suffers from limitations, including poor sensitivity or specificity, high cost, patient discomfort, and exposure to potentially harmful ionising radiation. Microwave breast imaging is based on a contrast in the dielectric properties of breast tissue that exists at microwave frequencies. The book begins by considering the anatomy and dielectric properties of the breast, contrasting historical and recent studies. Next, radar-based breast imaging algorithms are discussed, encompassing both early-stage artefact removal, and data independent and adaptive beamforming algorithms. Similarly, microwave tomographic reconstruction algorithms are reviewed, introducing the reader to both the fundamental and more advanced algorithms. The book also reviews research efforts to extract clinically useful information from the radar target signature of breast tumours. Finally, the book concludes by describing the state of the art prototype microwave breast imaging systems, with a particular emphasis on those which have progressed to the clinical evaluation stage. This work is motivated by the fact that breast cancer is one of the leading causes of death amongst women in Europe and the US, and the second most common cancer in the world today. Such an important area of research will appeal to many scholars and practitioners.
650 0 $a Medical physics. $3 588800
650 0 $a Radiation. $3 673044
650 0 $a Radiology. $3 673943
650 0 $a Microwaves. $3 636639
650 0 $a Optical engineering. $3 720802
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Biomedical engineering. $3 588770
650 1 4 $a Medical and Radiation Physics. $3 784894
650 2 4 $a Diagnostic Radiology. $3 593950
650 2 4 $a Microwaves, RF and Optical Engineering. $3 593918
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
700 1 $a Conceição, Raquel Cruz. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1269268
700 1 $a Mohr, Johan Jacob. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1111884
700 1 $a O'Halloran, Martin. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1111885
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319278650
776 0 8 $i Printed edition: $z 9783319278674
776 0 8 $i Printed edition: $z 9783319802312
830 0 $a Biological and Medical Physics, Biomedical Engineering, $x 1618-7210 $3 1255349
856 4 0 $u https://doi.org/10.1007/978-3-319-27866-7
912 $a ZDB-2-PHA
912 $a ZDB-2-SXP
950 $a Physics and Astronomy (SpringerNature-11651)
950 $a Physics and Astronomy (R0) (SpringerNature-43715)