A BPF-FBP tandem algorithm for image reconstruction in reverse helical cone-beam CT

Purpose: Reverse helical cone-beam computed tomography (CBCT) is a scanning configuration for potential applications in image-guided radiation therapy in which an accurate anatomic image of the patient is needed for image-guidance procedures. The authors previously developed an algorithm for image r...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Medical physics (Lancaster) Ročník 37; číslo 1; s. 32 - 39
Hlavní autori: Cho, Seungryong, Xia, Dan, Pellizzari, Charles A., Pan, Xiaochuan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States American Association of Physicists in Medicine 01.01.2010
Predmet:
ALGORITHMS
backpropagation
BPF
CAT SCANNING
Computed tomography
computerised tomography
Cone beam computed tomography
cone-beam CT
FBP
Humans
Image guided radiation therapy
IMAGE PROCESSING
image reconstruction
Image sensors
Imaging, Three-Dimensional - methods
Linear accelerators
MATHEMATICAL METHODS AND COMPUTING
Medical image artifacts
Medical image noise
medical image processing
Medical image reconstruction
Medical imaging
NUMERICAL ANALYSIS
Numerical modeling
Phantoms, Imaging
Radiation Imaging Physics
radiation therapy
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
RADIOLOGY AND NUCLEAR MEDICINE
RADIOTHERAPY
Reconstruction
Reproducibility of Results
reverse helical
Sensitivity and Specificity
Spiral Cone-Beam Computed Tomography - methods
Therapeutic applications, including brachytherapy
BPF
image reconstruction
cone-beam CT
FBP
reverse helical
ISSN:0094-2405, 2473-4209, 0094-2405
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Purpose: Reverse helical cone-beam computed tomography (CBCT) is a scanning configuration for potential applications in image-guided radiation therapy in which an accurate anatomic image of the patient is needed for image-guidance procedures. The authors previously developed an algorithm for image reconstruction from nontruncated data of an object that is completely within the reverse helix. The purpose of this work is to develop an image reconstruction approach for reverse helical CBCT of a long object that extends out of the reverse helix and therefore constitutes data truncation. Methods: The proposed approach comprises of two reconstruction steps. In the first step, a chord-based backprojection-filtration (BPF) algorithm reconstructs a volumetric image of an object from the original cone-beam data. Because there exists a chordless region in the middle of the reverse helix, the image obtained in the first step contains an unreconstructed central-gap region. In the second step, the gap region is reconstructed by use of a Pack–Noo-formula-based filteredbackprojection (FBP) algorithm from the modified cone-beam data obtained by subtracting from the original cone-beam data the reprojection of the image reconstructed in the first step. Results: The authors have performed numerical studies to validate the proposed approach in image reconstruction from reverse helical cone-beam data. The results confirm that the proposed approach can reconstruct accurate images of a long object without suffering from data-truncation artifacts or cone-angle artifacts. Conclusions: They developed and validated a BPF-FBP tandem algorithm to reconstruct images of a long object from reverse helical cone-beam data. The chord-based BPF algorithm was utilized for converting the long-object problem into a short-object problem. The proposed approach is applicable to other scanning configurations such as reduced circular sinusoidal trajectories.
Bibliografia:0094‐2405/2010/37(1)/32/8/$30.00
xpan@uchicago.edu
Electronic mail
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
Electronic mail: xpan@uchicago.edu
ISSN:0094-2405
2473-4209
0094-2405
DOI:10.1118/1.3263618