ung perfusion quantification using a SPECT/CT-based semi-automated segmentation workflow rather than planar perfusion scintigraphy

被引：0
|
作者：
Babatunde, Victor [1 ]
Payne, Erica [1 ]
Pryma, Daniel [2 ]
Pantel, Austin [1 ]
机构：
[1] Univ Penn Hlth Syst, Philadelphia, PA USA
[2] Univ Penn, Philadelphia, PA 19104 USA
来源：
JOURNAL OF NUCLEAR MEDICINE | 2022年 / 63卷
关键词：
D O I：
暂无
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：
2792
引用
收藏
页数：2
相关论文
共 28 条
  • [1] An Automated Segmentation and Classification Framework for CT-Based Myocardial Perfusion Imaging for Detecting Myocardial Perfusion Defect
    Qian, Zhen
    Joshi, Parag
    Rinehart, Sarah
    Voros, Szilard
    FUNCTIONAL IMAGING AND MODELING OF THE HEART, 2011, 6666 : 206 - 214
  • [2] The Usefulness of DeepLearning-based Lobar Segmentation for Lobar Perfusion Quantification Using SPECT-CT
    Wei, Zg
    JOURNAL OF NUCLEAR MEDICINE, 2023, 64
  • [3] A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT
    Naydenova, Elina
    Cifor, Amalia
    Hill, Esme
    Franklin, Jamie
    Sharma, Ricky A.
    Schnabel, Julia A.
    ABDOMINAL IMAGING: COMPUTATIONAL AND CLINICAL APPLICATIONS, 2014, 8676 : 23 - 32
  • [4] CT-based attenuation correction in Tl-201 myocardial perfusion scintigraphy is less effective than non-corrected SPECT for risk stratification
    Savvopoulos, Christos A.
    Spyridonidis, Trifon
    Papandrianos, Nikolaos
    Vassilakos, Pavlos J.
    Alexopoulos, Dimitrios
    Apostolopoulos, Dimitris J.
    JOURNAL OF NUCLEAR CARDIOLOGY, 2014, 21 (03) : 519 - 531
  • [5] CT-based attenuation correction in Tl-201 myocardial perfusion scintigraphy is less effective than non-corrected SPECT for risk stratification
    Christos A. Savvopoulos
    Trifon Spyridonidis
    Nikolaos Papandrianos
    Pavlos J. Vassilakos
    Dimitrios Alexopoulos
    Dimitris J. Apostolopoulos
    Journal of Nuclear Cardiology, 2014, 21 : 519 - 531
  • [6] A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study
    Soo Young Chae
    Sangil Suh
    Inseon Ryoo
    Arim Park
    Kyoung Jin Noh
    Hackjoon Shim
    Hae Young Seol
    Neuroradiology, 2017, 59 : 461 - 469
  • [7] A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study
    Chae, Soo Young
    Suh, Sangil
    Ryoo, Inseon
    Park, Arim
    Noh, Kyoung Jin
    Shim, Hackjoon
    Seol, Hae Young
    NEURORADIOLOGY, 2017, 59 (05) : 461 - 469
  • [8] Robust semi-automated quantification of cardiac MR perfusion using level set: Application to hypertrophic cardiomyopathy patient data
    Kim, Yoon-Chul
    Kim, Sung Mok
    Choe, Yeon Hyeon
    COMPUTERS IN BIOLOGY AND MEDICINE, 2016, 71 : 162 - 173
  • [9] The effect of CT-based attenuation correction on the automatic perfusion score of myocardial perfusion imaging using a dedicated cardiac solid-state CZT SPECT/CT
    Kennedy, John A.
    Brodov, Yafim
    Weinstein, Adam L.
    Israel, Ora
    Frenkel, Alex
    JOURNAL OF NUCLEAR CARDIOLOGY, 2019, 26 (01) : 236 - 245
  • [10] The effect of CT-based attenuation correction on the automatic perfusion score of myocardial perfusion imaging using a dedicated cardiac solid-state CZT SPECT/CT
    John A. Kennedy
    Yafim Brodov
    Adam L. Weinstein
    Ora Israel
    Alex Frenkel
    Journal of Nuclear Cardiology, 2019, 26 : 236 - 245
123