Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction
Gespeichert in:
Verfasser / Beitragende:
[Patrick Millerd, Robert Paden, Jeffrey Lund, Amy Hara, Wendy Stiles, Miao He, Qing Wu, C. Daniel Johnson]
Ort, Verlag, Jahr:
2015
Enthalten in:
Abdominal Imaging, 40/5(2015-06-01), 1183-1189
Format:
Artikel (online)
Online Zugang:
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605495319 | ||
| 003 | CHVBK | ||
| 005 | 20210128100530.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150601xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00261-014-0271-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00261-014-0271-1 | ||
| 245 | 0 | 0 | |a Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction |h [Elektronische Daten] |c [Patrick Millerd, Robert Paden, Jeffrey Lund, Amy Hara, Wendy Stiles, Miao He, Qing Wu, C. Daniel Johnson] |
| 520 | 3 | |a Purpose: To determine whether radiation doses during computed tomography (CT) colonography (CTC) can be further reduced while maintaining image quality using model-based iterative reconstruction (MBIR). Methods: Twenty patients underwent CTC at a standard dose in supine and prone positions and at a reduced dose in the supine position. All other scan parameters (except noise index) were held constant. Acquisitions were reconstructed using 3 algorithms: filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and MBIR. Noise was assessed quantitatively by comparing the SD in Hounsfield units at 5 standard locations. Qualitative assessment was made by 2 experienced radiologists blinded to technique who subjectively scored image quality, noise, and sharpness (from 0 to 4). Results: The standard-dose and reduced-dose CT dose index/dose-length product were 6.7/328 and 2.7mGy/129mGy-cm, respectively (60% reduction). Measured mean noise level increased from the standard to the reduced dose (FBP, from 58.6 to 97.2; ASIR from 35.8 to 60.6; and MBIR from 16.6 to 21.9). MBIR had significantly less noise than ASIR on 2-dimensional images at both standard and reduced doses (P<.01). Conclusions: Radiation dose in CTC using MBIR can be reduced by 60% while maintaining image quality and reducing image noise. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Adaptive statistical iterative reconstruction |2 nationallicence | |
| 690 | 7 | |a Computed tomography |2 nationallicence | |
| 690 | 7 | |a CT colonography |2 nationallicence | |
| 690 | 7 | |a Iterative reconstruction |2 nationallicence | |
| 690 | 7 | |a Model-based iterative reconstruction |2 nationallicence | |
| 690 | 7 | |a Reduced dose |2 nationallicence | |
| 690 | 7 | |a ASIR : Adaptive statistical iterative reconstruction |2 nationallicence | |
| 690 | 7 | |a BMI : Body mass index (weight in kg divided by height in m2 [kg/m2]) |2 nationallicence | |
| 690 | 7 | |a CT : Computed tomography |2 nationallicence | |
| 690 | 7 | |a CTC : Computed tomography colonography |2 nationallicence | |
| 690 | 7 | |a DLP : Dose-length product |2 nationallicence | |
| 690 | 7 | |a FBP : Filtered back projection |2 nationallicence | |
| 690 | 7 | |a HIPAA : Health Insurance Portability and Accountability Act |2 nationallicence | |
| 690 | 7 | |a kVp : Kilovolts peak |2 nationallicence | |
| 690 | 7 | |a mAs : Milliamperes-second |2 nationallicence | |
| 690 | 7 | |a MBIR : Model-based iterative reconstruction |2 nationallicence | |
| 690 | 7 | |a MDCT : Multidetector computed tomography |2 nationallicence | |
| 690 | 7 | |a mSv : Millisievert |2 nationallicence | |
| 700 | 1 | |a Millerd |D Patrick |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | |
| 700 | 1 | |a Paden |D Robert |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | |
| 700 | 1 | |a Lund |D Jeffrey |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | |
| 700 | 1 | |a Hara |D Amy |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | |
| 700 | 1 | |a Stiles |D Wendy |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | |
| 700 | 1 | |a He |D Miao |u Arizona State University, Tempe, AZ, USA |4 aut | |
| 700 | 1 | |a Wu |D Qing |u Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, USA |4 aut | |
| 700 | 1 | |a Daniel Johnson |D C. |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | |
| 773 | 0 | |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/5(2015-06-01), 1183-1189 |x 0942-8925 |q 40:5<1183 |1 2015 |2 40 |o 261 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00261-014-0271-1 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00261-014-0271-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Millerd |D Patrick |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Paden |D Robert |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lund |D Jeffrey |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hara |D Amy |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Stiles |D Wendy |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a He |D Miao |u Arizona State University, Tempe, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wu |D Qing |u Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Daniel Johnson |D C. |u Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, 85259, Scottsdale, AZ, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/5(2015-06-01), 1183-1189 |x 0942-8925 |q 40:5<1183 |1 2015 |2 40 |o 261 | ||