X-ray scatter characterization in dedicated breast CT with bowtie filters

被引:3
|
作者
Kontson, Kimberly [1 ]
Jennings, Robert J. [1 ]
机构
[1] US FDA, Ctr Devices & Radiol Hlth, Silver Spring, MD 20993 USA
关键词
bowtie filter; breast CT; scatter-to-primary ratio; IMAGE QUALITY; RADIATION; DESIGN;
D O I
10.1117/12.2043051
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The scatter contamination of projection images in cone-beam computed tomography (CT) degrades image quality. The use of bowtie filters in dedicated breast CT can decrease this scatter contribution. Three bowtie filter designs that compensate for one or more aspects of the beam-modifying effects due to the differences in path length in a projection have been studied. The first produces the same beam-hardening effect as breast tissue with a single-material design. The second produces the same beam quality and intensity at the detector with a two-material design and the third eliminates the beam-hardening effect by adjusting the bowtie filter thickness such that the same effective attenuation is produced at the detector. We have selected aluminum, boron carbide/beryllium oxide, and PM MA as the materials for the previously described designs, respectively. These designs have been investigated in terms of their ability to reduce the scatter contamination in projection images acquired in a dedicated breast CT geometry. The magnitude of the scatter was measured as the scatter-to-primary ratio using experimental and Monte Carlo techniques. The distribution of the scatter was also measured at different locations in the scatter image to produce scatter distribution maps for all three bowtie filter designs. The results of this study will be useful in designing scatter correction methods and understanding the benefits of bowtie filters in dedicated breast CT.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Scatter Correction Method by Temporal Primary Modulation in X-Ray CT
    Schoerner, Karsten
    Goldammer, Matthias
    Stierstorfer, Karl
    Stephan, Juergen
    Boeni, Peter
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2012, 59 (06) : 3278 - 3285
  • [42] A PHYSICS-MOTIVATED DNN FOR X-RAY CT SCATTER CORRECTION
    Iskender, Berk
    Bresler, Yoram
    2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, : 609 - 613
  • [43] X-ray scatter data for flat-panel detector CT
    Kyriakou, Yiannis
    Kalender, Willi A.
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2007, 23 (01): : 3 - 15
  • [44] Characterization of windows and filters for coherent X-ray beamlines
    Suzuki, Y
    Momose, A
    Sugiyama, H
    JOURNAL OF SYNCHROTRON RADIATION, 1998, 5 : 596 - 599
  • [45] Characterization of windows and filters for coherent X-ray beamlines
    Suzuki, Yoshio
    Momose, Atsushi
    Sugiyama, Hiroshi
    Journal of Synchrotron Radiation, 1998, 5 (03): : 596 - 599
  • [46] X-Ray Techniques Dedicated to Materials Characterization in Cultural Heritage
    Magdy, Mina
    CHEMISTRYSELECT, 2023, 8 (33):
  • [47] Deep Learning Model for Scatter Correction in Dedicated Breast CT
    Pautasso, J.
    Caballo, M.
    Michielsen, K.
    Sechopoulos, I.
    MEDICAL PHYSICS, 2021, 48 (06)
  • [48] Dedicated Breast CT: Numerical Evaluation of Improvement in X-Ray Fluence Uniformity Using 3D Beam-Shaping X-Ray Filter
    Vedantham, S.
    Karellas, A.
    MEDICAL PHYSICS, 2017, 44 (06) : 3177 - 3177
  • [49] Multimodal x-ray scatter imaging
    Bunk, O.
    Bech, M.
    Jensen, T. H.
    Feidenhans'l, R.
    Binderup, T.
    Menzel, A.
    Pfeiffer, F.
    NEW JOURNAL OF PHYSICS, 2009, 11
  • [50] X-RAY SCATTER REMOVAL BY DECONVOLUTION
    SEIBERT, JA
    BOONE, JM
    MEDICAL PHYSICS, 1986, 13 (05) : 782 - 782