A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT

Xiao Han, Junguo Bian, Diane R. Eaker, Emil Y. Sidky, Erik L. Ritman, Xiaochnan Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Micro-CT enables convenient visualization and quantitative analysis of small animals and biological tissue samples. However, high-quality volume images in general require acquisition of cone-beam projection data from hundreds of view angles. This prolonged imaging process limits system throughput and may cause potential radiation damage to the imaged objects. It is therefore desirable to have a technique which can generate volume images with satisfactory quality, but from a smaller amount of projection data. On the other hand, many objects subject to the micro-CT scans have sparse spatial distribution, and this sparcity could be exploited and incorporated as prior knowledge in innovative design of algorithms that are capable of reconstructing images from few-view projection data. In this work we applied a new iterative algorithm based upon constrained total-variation minimization to reconstructing images from as few as five projections. Preliminary results suggest that the algorithm can yield potentially useful images from substantially less projection data than required by existing algorithms. This has practical implications of reducing scanning time and minimizing radiation damage to the imaged objects.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7622
EditionPART 2
DOIs
StatePublished - 2010
EventMedical Imaging 2010: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 15 2010Feb 18 2010

Other

OtherMedical Imaging 2010: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/15/102/18/10

Fingerprint

Cone-Beam Computed Tomography
Computer-Assisted Image Processing
image reconstruction
Image reconstruction
Cones
cones
projection
Radiation damage
radiation damage
Radiation
Computerized tomography
Spatial distribution
Animals
Visualization
quantitative analysis
Throughput
animals
Tissue
Scanning
acquisition

Keywords

  • Few-view image reconstruction
  • Micro-CT

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Han, X., Bian, J., Eaker, D. R., Sidky, E. Y., Ritman, E. L., & Pan, X. (2010). A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (PART 2 ed., Vol. 7622). [76222P] https://doi.org/10.1117/12.845320

A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT. / Han, Xiao; Bian, Junguo; Eaker, Diane R.; Sidky, Emil Y.; Ritman, Erik L.; Pan, Xiaochnan.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 2. ed. 2010. 76222P.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Han, X, Bian, J, Eaker, DR, Sidky, EY, Ritman, EL & Pan, X 2010, A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 2 edn, vol. 7622, 76222P, Medical Imaging 2010: Physics of Medical Imaging, San Diego, CA, United States, 2/15/10. https://doi.org/10.1117/12.845320
Han X, Bian J, Eaker DR, Sidky EY, Ritman EL, Pan X. A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 2 ed. Vol. 7622. 2010. 76222P https://doi.org/10.1117/12.845320
Han, Xiao ; Bian, Junguo ; Eaker, Diane R. ; Sidky, Emil Y. ; Ritman, Erik L. ; Pan, Xiaochnan. / A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 2. ed. 2010.
@inproceedings{a12c02cdafab44d09e8c8681473e09cc,
title = "A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT",
abstract = "Micro-CT enables convenient visualization and quantitative analysis of small animals and biological tissue samples. However, high-quality volume images in general require acquisition of cone-beam projection data from hundreds of view angles. This prolonged imaging process limits system throughput and may cause potential radiation damage to the imaged objects. It is therefore desirable to have a technique which can generate volume images with satisfactory quality, but from a smaller amount of projection data. On the other hand, many objects subject to the micro-CT scans have sparse spatial distribution, and this sparcity could be exploited and incorporated as prior knowledge in innovative design of algorithms that are capable of reconstructing images from few-view projection data. In this work we applied a new iterative algorithm based upon constrained total-variation minimization to reconstructing images from as few as five projections. Preliminary results suggest that the algorithm can yield potentially useful images from substantially less projection data than required by existing algorithms. This has practical implications of reducing scanning time and minimizing radiation damage to the imaged objects.",
keywords = "Few-view image reconstruction, Micro-CT",
author = "Xiao Han and Junguo Bian and Eaker, {Diane R.} and Sidky, {Emil Y.} and Ritman, {Erik L.} and Xiaochnan Pan",
year = "2010",
doi = "10.1117/12.845320",
language = "English (US)",
isbn = "9780819480231",
volume = "7622",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
edition = "PART 2",

}

TY - GEN

T1 - A preliminary study of few-view image reconstruction of sparse objects in cone-beam micro-CT

AU - Han, Xiao

AU - Bian, Junguo

AU - Eaker, Diane R.

AU - Sidky, Emil Y.

AU - Ritman, Erik L.

AU - Pan, Xiaochnan

PY - 2010

Y1 - 2010

N2 - Micro-CT enables convenient visualization and quantitative analysis of small animals and biological tissue samples. However, high-quality volume images in general require acquisition of cone-beam projection data from hundreds of view angles. This prolonged imaging process limits system throughput and may cause potential radiation damage to the imaged objects. It is therefore desirable to have a technique which can generate volume images with satisfactory quality, but from a smaller amount of projection data. On the other hand, many objects subject to the micro-CT scans have sparse spatial distribution, and this sparcity could be exploited and incorporated as prior knowledge in innovative design of algorithms that are capable of reconstructing images from few-view projection data. In this work we applied a new iterative algorithm based upon constrained total-variation minimization to reconstructing images from as few as five projections. Preliminary results suggest that the algorithm can yield potentially useful images from substantially less projection data than required by existing algorithms. This has practical implications of reducing scanning time and minimizing radiation damage to the imaged objects.

AB - Micro-CT enables convenient visualization and quantitative analysis of small animals and biological tissue samples. However, high-quality volume images in general require acquisition of cone-beam projection data from hundreds of view angles. This prolonged imaging process limits system throughput and may cause potential radiation damage to the imaged objects. It is therefore desirable to have a technique which can generate volume images with satisfactory quality, but from a smaller amount of projection data. On the other hand, many objects subject to the micro-CT scans have sparse spatial distribution, and this sparcity could be exploited and incorporated as prior knowledge in innovative design of algorithms that are capable of reconstructing images from few-view projection data. In this work we applied a new iterative algorithm based upon constrained total-variation minimization to reconstructing images from as few as five projections. Preliminary results suggest that the algorithm can yield potentially useful images from substantially less projection data than required by existing algorithms. This has practical implications of reducing scanning time and minimizing radiation damage to the imaged objects.

KW - Few-view image reconstruction

KW - Micro-CT

UR - http://www.scopus.com/inward/record.url?scp=84873899438&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873899438&partnerID=8YFLogxK

U2 - 10.1117/12.845320

DO - 10.1117/12.845320

M3 - Conference contribution

SN - 9780819480231

VL - 7622

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -