Literature DB >> 23974703

Fractal analysis in radiological and nuclear medicine perfusion imaging: a systematic review.

Florian Michallek1, Marc Dewey.   

Abstract

OBJECTIVES: To provide an overview of recent research in fractal analysis of tissue perfusion imaging, using standard radiological and nuclear medicine imaging techniques including computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET) and single-photon emission computed tomography (SPECT) and to discuss implications for different fields of application.
METHODS: A systematic review of fractal analysis for tissue perfusion imaging was performed by searching the databases MEDLINE (via PubMed), EMBASE (via Ovid) and ISI Web of Science.
RESULTS: Thirty-seven eligible studies were identified. Fractal analysis was performed on perfusion imaging of tumours, lung, myocardium, kidney, skeletal muscle and cerebral diseases. Clinically, different aspects of tumour perfusion and cerebral diseases were successfully evaluated including detection and classification. In physiological settings, it was shown that perfusion under different conditions and in various organs can be properly described using fractal analysis.
CONCLUSIONS: Fractal analysis is a suitable method for quantifying heterogeneity from radiological and nuclear medicine perfusion images under a variety of conditions and in different organs. Further research is required to exploit physiologically proven fractal behaviour in the clinical setting. KEY POINTS: • Fractal analysis of perfusion images can be successfully performed. • Tumour, pulmonary, myocardial, renal, skeletal muscle and cerebral perfusion have already been examined. • Clinical applications of fractal analysis include tumour and brain perfusion assessment. • Fractal analysis is a suitable method for quantifying perfusion heterogeneity. • Fractal analysis requires further research concerning the development of clinical applications.

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Mesh:

Year:  2013        PMID: 23974703     DOI: 10.1007/s00330-013-2977-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  48 in total

1.  Quantification of the heterogeneity of cerebral blood flow in vascular dementia.

Authors:  Takuya Yoshikawa; Kenya Murase; Naohiko Oku; Kazuo Kitagawa; Masao Imaizumi; Masashi Takasawa; Piao Rishu; Kazuo Hashikawa; Takashi Nishikawa; Masatsugu Hori; Masayasu Matsumoto
Journal:  J Neurol       Date:  2003-02       Impact factor: 4.849

2.  Effects of age on pulmonary perfusion heterogeneity measured by magnetic resonance imaging.

Authors:  David L Levin; Richard B Buxton; James P Spiess; Tatsuya Arai; Jamal Balouch; Susan R Hopkins
Journal:  J Appl Physiol (1985)       Date:  2007-02-15

3.  Temporospatial heterogeneity of myocardial perfusion and blood volume in the porcine heart wall.

Authors:  E L Ritman
Journal:  Ann Biomed Eng       Date:  1998 Jul-Aug       Impact factor: 3.934

4.  Anatomy and flow in normal and ischemic microvasculature based on a novel temporal fractal dimension analysis algorithm using contrast enhanced ultrasound.

Authors:  Dimitrios Charalampidis; Marco Pascotto; Edmund Kenneth Kerut; Jonathan R Lindner
Journal:  IEEE Trans Med Imaging       Date:  2006-08       Impact factor: 10.048

5.  Fractal nature of regional myocardial blood flow heterogeneity.

Authors:  J B Bassingthwaighte; R B King; S A Roger
Journal:  Circ Res       Date:  1989-09       Impact factor: 17.367

6.  Reproducibility of 2D and 3D fractal analysis techniques for the assessment of spatial heterogeneity of regional blood flow in rectal cancer.

Authors:  Bal Sanghera; Debasish Banerjee; Aftab Khan; Ian Simcock; J James Stirling; Rob Glynne-Jones; Vicky Goh
Journal:  Radiology       Date:  2012-03-21       Impact factor: 11.105

7.  Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response?

Authors:  L Alic; M van Vliet; C F van Dijke; A M M Eggermont; J F Veenland; W J Niessen
Journal:  Phys Med Biol       Date:  2011-02-18       Impact factor: 3.609

8.  Texture analysis of aggressive and nonaggressive lung tumor CE CT images.

Authors:  Omar S Al-Kadi; D Watson
Journal:  IEEE Trans Biomed Eng       Date:  2008-07       Impact factor: 4.538

9.  Comparison of heterogeneity quantification algorithms for brain SPECT perfusion images.

Authors:  Romain Modzelewski; Elise Janvresse; Thierry de la Rue; Pierre Vera
Journal:  EJNMMI Res       Date:  2012-07-20       Impact factor: 3.138

10.  Approaches to brain stress testing: BOLD magnetic resonance imaging with computer-controlled delivery of carbon dioxide.

Authors:  W Alan C Mutch; Daniel M Mandell; Joseph A Fisher; David J Mikulis; Adrian P Crawley; Olivia Pucci; James Duffin
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

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  15 in total

1.  AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Authors:  Isabella Castiglioni; Francesca Gallivanone; Paolo Soda; Michele Avanzo; Joseph Stancanello; Marco Aiello; Matteo Interlenghi; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

Review 2.  The Complexity and Fractal Geometry of Nuclear Medicine Images.

Authors:  Fabio Grizzi; Angelo Castello; Dorina Qehajaj; Carlo Russo; Egesta Lopci
Journal:  Mol Imaging Biol       Date:  2019-06       Impact factor: 3.488

Review 3.  Characterization of PET/CT images using texture analysis: the past, the present… any future?

Authors:  Mathieu Hatt; Florent Tixier; Larry Pierce; Paul E Kinahan; Catherine Cheze Le Rest; Dimitris Visvikis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-06       Impact factor: 9.236

Review 4.  Lung cancer-a fractal viewpoint.

Authors:  Frances E Lennon; Gianguido C Cianci; Nicole A Cipriani; Thomas A Hensing; Hannah J Zhang; Chin-Tu Chen; Septimiu D Murgu; Everett E Vokes; Michael W Vannier; Ravi Salgia
Journal:  Nat Rev Clin Oncol       Date:  2015-07-14       Impact factor: 66.675

5.  The exploration of quantitative intra-tumoral metabolic heterogeneity in dual-time 18F-FDG PET/CT of pancreatic cancer.

Authors:  Guorong Jia; Jian Zhang; Rou Li; Jianhua Yan; Changjing Zuo
Journal:  Abdom Radiol (NY)       Date:  2021-04-18

6.  Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle study.

Authors:  Florian Michallek; Henkjan Huisman; Bernd Hamm; Sefer Elezkurtaj; Andreas Maxeiner; Marc Dewey
Journal:  Eur Radiol       Date:  2021-12-16       Impact factor: 7.034

7.  Small Cell Lung Cancer Therapeutic Responses Through Fractal Measurements: From Radiology to Mitochondrial Biology.

Authors:  Isa Mambetsariev; Tamara Mirzapoiazova; Frances Lennon; Mohit Kumar Jolly; Haiqing Li; Mohd W Nasser; Lalit Vora; Prakash Kulkarni; Surinder K Batra; Ravi Salgia
Journal:  J Clin Med       Date:  2019-07-16       Impact factor: 4.241

Review 8.  Application of Multimodality Imaging Fusion Technology in Diagnosis and Treatment of Malignant Tumors under the Precision Medicine Plan.

Authors:  Shun-Yi Wang; Xian-Xia Chen; Yi Li; Yu-Ying Zhang
Journal:  Chin Med J (Engl)       Date:  2016-12-20       Impact factor: 2.628

Review 9.  Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy.

Authors:  Gigin Lin; Kayvan R Keshari; Jae Mo Park
Journal:  Contrast Media Mol Imaging       Date:  2017-10-09       Impact factor: 3.161

Review 10.  The Bionic Radiologist: avoiding blurry pictures and providing greater insights.

Authors:  Marc Dewey; Uta Wilkens
Journal:  NPJ Digit Med       Date:  2019-07-09
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