Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Alignment of sources and detectors on breast surface for noncontact diffuse correlation tomography of breast tumors

Not Accessible

Your library or personal account may give you access

Abstract

Noncontact diffuse correlation tomography (ncDCT) is an emerging technology for 3D imaging of deep tissue blood flow distribution without distorting hemodynamic properties. To adapt the ncDCT for imaging in vivo breast tumors, we designed a motorized ncDCT probe to scan over the breast surface. A computer-aided design (CAD)-based approach was proposed to create solid volume mesh from arbitrary breast surface obtained by a commercial 3D camera. The sources and detectors of ncDCT were aligned on the breast surface through ray tracing to mimic the ncDCT scanning with CAD software. The generated breast volume mesh along with the boundary data of ncDCT at the aligned source and detector pairs were used for finite-element-method-based flow image reconstruction. We evaluated the accuracy of source alignments on mannequin and human breasts; largest alignment errors were less than 10% in both tangential and radial directions of scanning. The impact of alignment errors (assigned 10%) on the tumor reconstruction was estimated using computer simulations. The deviations of simulated tumor location and blood flow contrast resulted from the alignment errors were 0.77 mm (less than the node distance of 1 mm) and 1%, respectively, which result in minor impact on flow image reconstruction. Finally, a case study on a human breast tumor was conducted and a tumor-to-normal flow contrast was reconstructed, demonstrating the feasibility of ncDCT in clinical application.

© 2015 Optical Society of America

Full Article  |  PDF Article

Corrections

9 October 2015: A correction was made to Fig. 8.


More Like This
Collimating micro-lens fiber array for noncontact near-infrared diffuse correlation tomography

Shijie Feng, Zhiguo Gui, Xiaojuan Zhang, and Yu Shang
Biomed. Opt. Express 12(3) 1467-1481 (2021)

Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography

Bin Deng, Dana H. Brooks, David A. Boas, Mats Lundqvist, and Qianqian Fang
Biomed. Opt. Express 6(7) 2366-2379 (2015)

Nth-order linear algorithm for diffuse correlation tomography

Xiaojuan Zhang, Zhiguo Gui, Zhiwei Qiao, Yi Liu, and Yu Shang
Biomed. Opt. Express 9(5) 2365-2382 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved