RSNA 2014 

Abstract Archives of the RSNA, 2014


VSVA51-02

Comparison of Objective and Subjective Image Quality between Filtered Back-Projection and Adaptive Statistical and Model-based Iterative Reconstruction Techniques in CT Venography using 80 kVp

Scientific Papers

Presented on December 4, 2014
Presented as part of VSVA51: Vascular Imaging Series: CT Angiography—New Techniques and Their Application

Participants

Ki Seok Choo MD, Abstract Co-Author: Nothing to Disclose
Jae-Yeon Hwang MD, Abstract Co-Author: Nothing to Disclose
Jin Hyeok Kim MD, Presenter: Nothing to Disclose
Myeong-Ja Yun, Abstract Co-Author: Nothing to Disclose
Soo Jin Lim, Abstract Co-Author: Nothing to Disclose

PURPOSE

To evaluate objective and subjective image quality of CT venography (CTV) using 80 kVp with model-based iterative reconstruction (MBIR) and compare with filtered back projection (FBP) and adaptive statistical iterative reconstruction (ASIR)

METHOD AND MATERIALS

This retrospective study was approved by our institutional review board. Total 44 consecutive patients (mean age: 56.1 ± 18.1) who were underwent CTV using 80 kVp for evaluation of deep vein thrombosis (DVT) were enrolled. The same raw data were reconstructed using FBP, ASIR and MBIR. Objective image quality 〔vascular enhancement, noise, contrast to noise ratio (CNR)〕were measured in the inferior vena cava (IVC), femoral vein (FV) and popliteal vein, respectively by independent two radiologists who blinded to reconstruction method. In addition, subjective image parameters (image quality, image noise, confidence to find DVT) were assessed using a 5 point scale system by same two radiologists independently. Data were analyzed using repeated measures ANOVA and effective dose was estimated using the dose-length product (DLP)

RESULTS

All images reconstructed by MBIR were acceptable for diagnosis and DVT was diagnosed in 8 patients (18.2%). The mean CNR of MBIR was significantly higher than those of FBP and ASIR in the IVC, FV and popliteal vein and images in MBIR had significantly lower objective image noise (p < 0.01). However, mean vascular enhancement of MBIR was not significantly different from those of FBP and ASIR. In addition, the subjective image quality and confidence of find DVT of MBIR was significantly higher than those of the others (p < 0.01) while MBIR had the lowest score for subjective image noise (p < 0.01). The mean DLP was 364.31 ± 61. 20 mGy cm

CONCLUSION

CTV using 80 kVp with MBIR provided diagnostic acceptable image quality for evaluation of DVT with low radiation dose and it was superior to FBP and ASIR in objective and subjective image quality

CLINICAL RELEVANCE/APPLICATION

CTV using 80 kVp with MBIR will be optimal protocol for diagnosis of DVT with lowest radiation dose

Cite This Abstract

Choo, K, Hwang, J, Kim, J, Yun, M, Lim, S, Comparison of Objective and Subjective Image Quality between Filtered Back-Projection and Adaptive Statistical and Model-based Iterative Reconstruction Techniques in CT Venography using 80 kVp.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14006416.html