Ultra-Low-Dose Sparse-View Quantitative CT Liver Perfusion Imaging

被引:2
作者
Enjilela, Esmaeil [1 ]
Lee, Ting-Yim [1 ,2 ]
Hsieh, Jiang [4 ]
Murjoomdar, Amol [3 ]
Stewart, Errol [1 ]
Dekaban, Mark [1 ]
Su, Feng [1 ]
So, Aaron [2 ]
机构
[1] Robarts Res Inst, Imaging Res Labs, London, ON, Canada
[2] Lawson Hlth Res Inst, Imaging Program, 268 Grosvenor St, London, ON N6A 4V2, Canada
[3] Western Univ, Dept Med Imaging, London, ON, Canada
[4] GE Healthcare, CT Engn, Waukesha, WI USA
基金
加拿大自然科学与工程研究理事会;
关键词
sparse-view image reconstruction; compressed sensing; radiation dose reduction; quantitative liver perfusion imaging; hepatic arterial blood flow; RECONSTRUCTION;
D O I
10.18383/j.tom.2017.00018
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Radiation dose of computed tomography liver perfusion imaging can be reduced by collecting fewer x-ray projections in each gantry rotation, but the resulting aliasing artifacts could affect the hepatic perfusion measurement. We investigated the effect of projection undersampling on the assessment of hepatic arterial blood flow (HABF) in hepatocellular carcinoma (HCC) when dynamic contrast-enhanced (DCE) liver images were reconstructed with filtered backprojection (FBP) and compressed sensing (CS). DCE liver images of a patient with HCC acquired with a 64-row CT scanner were reconstructed from all the measured projections (984-view) with the standard FBP and from one-third (328-view) and one-fourth (246-view) of all available projections with FBP and CS. Each of the 5 sets of DCE liver images was analyzed with a model-based deconvolution algorithm from which HABF maps were generated and compared. Mean HABF in the tumor and normal tissue measured by the 328-view CS and FBP protocols was within 5% differences from that assessed by the reference full-view FBP protocol. In addition, the tumor size measured by using the 328-view CS and FBP average images was identical to that determined by using the full-view FBP average image. By contrast, both the 246-view CS and FBP protocols exhibited larger differences (> 20%) in anatomical and functional assessments compared with the full-view FBP protocol. The preliminary results suggested that computed tomography perfusion imaging in HCC could be performed with 3 times less projection measurement than the current full-view protocol (67% reduction in radiation dose) when either FBP or CS was used for image reconstruction.
引用
收藏
页码:175 / 179
页数:5
相关论文
共 13 条
[1]   Stable signal recovery from incomplete and inaccurate measurements [J].
Candes, Emmanuel J. ;
Romberg, Justin K. ;
Tao, Terence .
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2006, 59 (08) :1207-1223
[2]   Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets [J].
Chen, Guang-Hong ;
Tang, Jie ;
Leng, Shuai .
MEDICAL PHYSICS, 2008, 35 (02) :660-663
[3]   CT Perfusion of the Liver: Principles and Applications in Oncology [J].
Kim, Se Hyung ;
Kamaya, Aya ;
Willmann, Jurgen K. .
RADIOLOGY, 2014, 272 (02) :321-343
[4]   An efficient augmented Lagrangian method with applications to total variation minimization [J].
Li, Chengbo ;
Yin, Wotao ;
Jiang, Hong ;
Zhang, Yin .
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2013, 56 (03) :507-530
[5]   Sparse MRI: The application of compressed sensing for rapid MR imaging [J].
Lustig, Michael ;
Donoho, David ;
Pauly, John M. .
MAGNETIC RESONANCE IN MEDICINE, 2007, 58 (06) :1182-1195
[6]   Hepatic CT perfusion measurements: A feasibility study for radiation dose reduction using new image reconstruction method [J].
Negi, Noriyuki ;
Yoshikawa, Takeshi ;
Ohno, Yoshiharu ;
Somiya, Yuichiro ;
Sekitani, Toshinori ;
Sugihara, Naoki ;
Koyama, Hisanobu ;
Kanda, Tomonori ;
Kanata, Naoki ;
Murakami, Tohru ;
Kawamitsu, Hideaki ;
Sugimura, Kazuro .
EUROPEAN JOURNAL OF RADIOLOGY, 2012, 81 (11) :3048-3054
[7]   Modelling the physics in the iterative reconstruction for transmission computed tomography [J].
Nuyts, Johan ;
De Man, Bruno ;
Fessler, Jeffrey A. ;
Zbijewski, Wojciech ;
Beekman, Freek J. .
PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (12) :R63-R96
[8]   Perfusion CT imaging of the liver: review of clinical applications [J].
Ogul, Hayri ;
Kantarci, Mecit ;
Genc, Berhan ;
Pirimoglu, Berhan ;
Cullu, Nesat ;
Kizrak, Yesim ;
Yilmaz, Omer ;
Karabulut, Nevzat .
DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY, 2014, 20 (05) :379-389
[9]   Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction? [J].
Pan, Xiaochuan ;
Sidky, Emil Y. ;
Vannier, Michael .
INVERSE PROBLEMS, 2009, 25 (12)
[10]   Perfusion imaging of the liver: Current challenges and future goals [J].
Pandharipande, PV ;
Krinsky, GA ;
Rusinek, H ;
Lee, VS .
RADIOLOGY, 2005, 234 (03) :661-673