{"id":5257,"date":"2016-11-28T12:00:58","date_gmt":"2016-11-28T11:00:58","guid":{"rendered":"http:\/\/vicorob.udg.edu\/?p=5257"},"modified":"2016-11-28T12:00:58","modified_gmt":"2016-11-28T11:00:58","slug":"computer-aided-diagnosis-for-prostate-cancer-using-multi-parametric-mri","status":"publish","type":"post","link":"https:\/\/vicorob.udg.edu\/ca\/computer-aided-diagnosis-for-prostate-cancer-using-multi-parametric-mri\/","title":{"rendered":"Computer-aided diagnosis for prostate cancer using multi-parametric MRI"},"content":{"rendered":"

Doctoral thesis <\/span><\/strong>“Computer-aided diagnosis for prostate cancer using multi-parametric MRI.”<\/em><\/h4>\n

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By Guillaume Lema\u00eetre
\n<\/strong><\/span><\/h4>\n

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Supervised by Robert Mart\u00ed Marly , Jordi Freixenet Bosch , Fabrice Meriaudeau<\/span>
\n<\/strong><\/p>\n

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Abstract<\/strong><\/h3>\n

Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. CaP growth is characterized by two main types of evolution: (i) the slow-growing tumours progress slowly and usually remain confined to the prostate gland; (ii) the fast-growing tumours metastasize from prostate gland to other organs, which might lead to incurable diseases. Therefore, early diagnosis and risk assessment play major roles in patient treatment and follow-up. In the last decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have been developed improving diagnosis. In practise, diagnosis can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. In this regard, computer-aided detection and computer-aided diagnosis systems are being designed to help radiologists in their clinical practice.<\/p>\n

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Our research extensively analyzes the current state-of-the-art in the development of computer-aided diagnosis and detection systems for prostate c\u00e0ncer detection. Currently, no computer-aided system using all available MRI modalities has been proposed and tested on a common dataset. Therefore, we propose a new computer-aided system taking advantage of all MRI modalities (i.e., T2-W-MRI, DCE-MRI, DW-MRI, MRSI). Particular attention is paid to the normalization of the MRI modalities prior to develop our computeraided system. This system has been extensively tested on a dataset which has been made publicly available.<\/p>\n

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Resum<\/strong><\/h3>\n

El c\u00e0ncer de pr\u00f2stata (CaP) \u00e9s el segon c\u00e0ncer m\u00e9s diagnosticat en homes a tot el m\u00f3n. El creixement del CaP es caracteritza per dos tipus principals d\u2019evoluci\u00f3: (i) els tumors de creixement lent que progressen lentament i en general romanen confinats en la gl\u00e0ndula de la pr\u00f2stata; (ii) els tumors de creixement r\u00e0pid que desenvolupen met\u00e0stasi de la pr\u00f2stata a altres \u00f2rgans, el que podria conduir a malalties incurables. Conseq\u00fcentment, el diagn\u00f2stic preco\u00e7 i l\u2019avaluaci\u00f3 del risc exerceixen un paper important en el tractament del pacient i el seguiment. En les \u00faltimes d\u00e8cades s’han desenvolupat noves t\u00e8cniques d’imatge basades en imatge de resson\u00e0ncia magn\u00e8tica (RM, o MRI de l\u2019angl\u00e8s) per millorar el diagn\u00f2stic. A la pr\u00e0ctica, el diagn\u00f2stic pot ser afectat per diversos factors com ara la variabilitat de l’observador i la visibilitat i la complexitat de les lesions. En aquest sentit, s’estan desenvolupant sistemes per a l’ajuda a la detecci\u00f3 i diagn\u00f2stic per ordinador per ajudar els radi\u00f2legs en la seva pr\u00e0ctica cl\u00ednica.<\/em><\/p>\n

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La nostra recerca analitza \u00e0mpliament l’estat de l’art en el desenvolupament de sistemes per a l’ajuda a la detecci\u00f3 i diagn\u00f2stic per ordinador per a la detecci\u00f3 del c\u00e0ncer de pr\u00f2stata. En l’actualitat, no hi ha cap sistema d’ajuda al diagn\u00f2stic que utilitzi totes les modalitats de MRI disponibles i que hagi estat avaluat en un conjunt de dades com\u00fa. Per tant, proposem un nou<\/em><\/p>\n

sistema d’ajuda al diagn\u00f2stic per ordinador aprofitant totes les modalitats de resson\u00e0ncia magn\u00e8tica (\u00e9s a dir T2-W-MRI, DCE-MRI, DW-MRI, MRSI).<\/em><\/p>\n

Com a etapa pr\u00e8via al desenvolupament del sistema, es presta especial atenci\u00f3 a la normalitzaci\u00f3 de les modalitats de resson\u00e0ncia magn\u00e8tica. El sistema desenvolupat ha estat avaluat extensivament en un conjunt de dades que s’han posat a disposici\u00f3 p\u00fablica.<\/em><\/p>\n

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 <\/p>\n","protected":false},"excerpt":{"rendered":"

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