Texture analysis in perfusion images of prostate cancer - A case study

Jacek Śmietański ; Ryszard Tadeusiewicz ; Elżbieta Łuczyńska

International Journal of Applied Mathematics and Computer Science, Tome 20 (2010), p. 149-156 / Harvested from The Polish Digital Mathematics Library

Résumé

The analysis of prostate images is one of the most complex tasks in medical images interpretation. It is sometimes very difficult to detect early prostate cancer using currently available diagnostic methods. But the examination based on perfusion computed tomography (p-CT) may avoid such problems even in particularly difficult cases. However, the lack of computational methods useful in the interpretation of perfusion prostate images makes it unreliable because the diagnosis depends mainly on the doctor's individual opinion and experience. In this paper some methods of automatic analysis of prostate perfusion tomographic images are presented and discussed. Some of the presented methods are adopted from papers of other researchers, and some are elaborated by the authors. This presentation of the method and algorithms is important, but it is not the master scope of the paper. The main purpose of this study is computational (deterministic and independent) verification of the usefulness of the p-CT technique in a specific case. It shows that it is possible to find computationally attainable properties of p-CT images which allow pointing out the cancerous lesion and can be used in computer aided medical diagnosis.

Détail

Publié le : 2010-01-01
EUDML-ID : urn:eudml:doc:207970

Bibliographie

[000] ACS (2009). Estimated new cancer cases and deaths by sex, US, http://www.cancer.org/downloads/stt/cff2009_estcd_3.pdf.

[001] Bhattacharyya, A. (1943). On a measure of divergence between two statistical populations defined by their probability distributions, Bulletin of the Calcutta Mathematical Society 35: 99-110. | Zbl 0063.00364

[002] Blomley, M., Coulden, R., Bufkin, C., Lipton, M. and Dawson, P. (1993). Contrast bolus dynamic computed tomography for the measurement of solid organ perfusion, Investigative Radiology 28(suppl 5): S72-S77.

[003] Bradford, T., Tomlins, S., Wang, X. and Chinnaiyan, A. (2006). Molecular markers of prostate cancer, Urologic Oncology 24(6): 538-551.

[004] Cenic, A., Nabavi, D., Craen, R., Gelb, A. and Lee, T.-Y. (2000). A CT method to measure hemodynamics in brain tumors: Validation and application of cerebral blood flow maps, American Journal of Neuroradiology 21(3): 462-470.

[005] Charlesworth, P. and Harris, A. (2006). Mechanisms of disease: Angiogenesis in urologic malignancies, nature clinical practice, Urology 3(3): 157-169.

[006] Daehnert, W., Hamper, U., Eggleston, J., Walsh, P. and Sanders, R. (1986). Prostatic evaluation by transrectal sonography with histopathologic correlation: The echopenic appearance of early carcinoma, Radiology 158(1): 97-102.

[007] Dugdale, P. and Miles, K. (1999). Hepatic metastases: The value of quantitative assessment of contrast enhancement on computed tomography, European Journal of Radiology 30(3): 206-213.

[008] Dziubińska, M., Basiak, M., Konopka, M., Hartel, M., PilchKowalczyk, J. and Sąsiadek, M. (2006). Role of perfusion imaging in computed tomography in diagnostics of cerebral gliomas, Neurologia i Neurochirurgia Polska 40(1): 51-56, (in Polish).

[009] Fukuya, T., Honda, H., Hayahi, T., Kaneko, K., Tateshi, Y., Ro, T., Maehara, Y., Tanaka, M., Tsuneyoshi, M. and Masuda, K. (1995). Lymph-node metastases: Efficacy of detection with helical CT in patients with gastric cancer, Radiology 197(3): 705-711.

[010] Groell, R., Doerfler, O., Schaffler, G. and Habermann, W. (2001). Contrast-enhanced helical CT of the head and neck. Improved conspicuity of squamous cell carcinoma on delayed scans, American Journal of Roentgelogy 176(6): 1571-1575.

[011] Haralick, R., Shanmugam, K. and Dinstein, I. (1973). Textural features for image classification, IEEE Transactions on Systems, Man and Cybernetics 3(6): 610-621.

[012] Hartel, M., Dziubińska-Basiak, M., Konopka, M., Basiak, M., Salam, B. and M., S. (2006). Complex diagnostic imaging of acute ischemic stroke-Case study, Udar Mózgu 8(2): 81-86, (in Polish).

[013] Henderson, E., Milosevic, M., Haider, M. and Yeung, I. (2003). Functional CT imaging of prostate cancer, Physics in Medicine and Biology 38(18): 3085-3100.

[014] Hoeffner, E., Case, I., Jain, R., Gujar, S., Shah, G., Deveikis, J., Carlos, R., Thompson, B., Harrigan, M. and Mukherji, S. (2004). Cerebral perfusion CT: Technique and clinical applications, Radiology 231(3): 632-644.

[015] Hricak, H., Choyke, P., Eberhardt, S., Leibel, S. and Scardino, P. (2007). Imaging prostate cancer. A multidisciplinary perspective, Radiology 243(1): 28-53.

[016] Ives, E., Burke, M., Edmonds, P., Gomella, L. and Halpern, E. (2005). Quantitative computed tomography perfusion of prostate cancer: Correlation with whole-mount pathology, Clinical Prostate Cancer 4(2): 109-112.

[017] Leman, E., Cannon, G., Trock, B., Sokoll, L., Chan, D., Mangold, L., Partin, A. and Getzenberg, R. (2007). Epca-2: A highly specific serum marker for prostate cancer, Urology 69(4): 714-720.

[018] Łuczyńska, E., A. J. S. J., Stelmach, A., Jaszczyński, J., Hartel, M. and Konopka, M. (2006). Perfusion of prostate cancer: Correlation between p-CT and whole-mount pathology - Case report, Polish Journal of Radiology 71(4): 70-73.

[019] Łuczyńska, E., Anioł, J., Stelmach, A. and Jaszczyński, J. (2008). The value of perfusion CT in evaluating locoregional staging in post-radical prostatectomy patients with elevated serum PSA level, Polish Journal of Radiology 73(2): 13-17.

[020] Miles, K. (1999). Tumour angiogenesis and its relation to contrast enhancement on computed tomography: A review, European Journal of Radiology 30(3): 198-205.

[021] Miles, K. (2002). Functional computed tomography in oncology, European Journal of Cancer 38(16): 2079-2084.

[022] Miles, K. and Griffiths, M. (2003). Perfusion CT: A worthwhile enhancement?, British Journal of Radiology 76(904): 220-231.

[023] NCR (2009). Number of new cancer cases by site and age groups, http://85.128.14.124/krn/english/liczba_zach_rozp/default.asp.

[024] Norberg, M., Egevad, L., Holmberg, P., Sparen, P., Norlén, J. and Busch, C. (1997). The sextant protocol for ultrasoundguided core biopsies of the prostate underestimates the presence of cancer, Urology 50(4): 562-566.

[025] Prando, A. and Wallace, S. (2000). Helical CT of prostate cancer: Early clinical experience, American Journal of Roentgenology 175(2): 343-346.

[026] Roscigno, M., Scattoni, V., Bertini, R., Pasta, A., Montorsi, F. and Rigatti, P. (2004). Diagnosis of prostate cancer. State of the art, Italian Journal of Urology and Nephrology 56(2): 123-145.

[027] Rosenberg, R., Wojtek, P., Konopka, M., Pieniążek, P., Bogusz, I. and M., S. (2004). Clinical applications of perfusion computed tomography, diffusion-weighted magnetic resonance and perfusion-weighted magnetic resonance imaging in detection of early lesions in ischemic stroke, Udar Mózgu 6(2): 71-78, (in Polish).

[028] Sahani, D., Kalva, S., Hamberg, L., Hahn, P., Willett, C., Saini, S., Mueller, P. and Ty, L. (2005). Assessing tumor perfusion and treatment response in rectal cancer with multisection CT: Initial observations, Radiology 234(3): 785-792.

[029] Selley, S., Donovan, J., Faulkner, A., Coast, J. and D., G. (1997). Diagnosis, management and screening of early localized prostate cancer, Health Technology Assessment 1(2): 1-96.

[030] Sudoł-Szopińska, I. and Szopiński, T. (2005). The USG Diagnostics of Prostate Gland, Praktyczna Ultrasonografia, Warszawa/Zamość, (in Polish).

[031] Tadeusiewicz, R. and Korohoda, P. (1997). Computer Analysis and Image Processing, Wydawnictwo Fundacji Postępu Telekomunikacji, Cracow, (in Polish).

[032] Tukey, J. (1977). Exploratory Data Analysis, Addison-Wesley, Reading, MA. | Zbl 0409.62003

[033] Velleman, P. and Hoaglin, D. (1981). Applications, Basics, and Computing of Exploratory Data Analysis, Duxbury Press, Boston, MA.

[034] Wintermark, M., Maeder, P., Thiran, J.-P., Schnyder, P. and Meuli, R. (2001). Quantitative assessment of regional cerebral blood flows by perfusion CT studies at low injection rates: A critical review of the underlying theoretical models, European Radiology 11(7): 1220-1230.

[035] Wolfkiel, C., Ferguson, J., Chomka, E., Law, W., Labin, I., Tenzer, M., Booker, M. and Brundage, B. (1987). Measurement of myocardial blood flow by ultrafast computed tomography, Circulation 76(6): 1262-1273.

[036] Zhang, M. and Kono, M. (1997). Solitary pulmonary nodules: Evaluation of blood flow patterns with dynamic CT, Radiology 205(2): 471-478.