Renzo Minotto - Academia.edu (original) (raw)

Papers by Renzo Minotto

The Surgery Journal, 2016

Robust MRI brain segmentation is an hard task, especially in presence of tumor that affects the n... more Robust MRI brain segmentation is an hard task, especially in presence of tumor that affects the normal brain tissue texture and intensity features. Brain tumors can take various shapes, positions and intensity levels. Brain segmentation is an essential preprocessing task to develop a good tumor detection and segmentation algorithm. In this paper we propose a new 2D brain segmentation algorithm that uses graph searching principles. The aim of our work is to translate the segmentation problem in a constrained optimization easily solvable with a graph. To achieve this goal the brain boundary must be described by a feasible function and a set of constraints easily describable through the connections of a graph. our strategy includes a preprocessing phase that "unwrups" the image in polar coordinates in such away that the brain boundary is a feasible function that can be found looking for the minimal path of a weighted graph. The brain segmentation algorithm proposed in this pa...

Interventional Neuroradiology, 2015

This paper is a case report of a young patient after a major head trauma causing multiple skull b... more This paper is a case report of a young patient after a major head trauma causing multiple skull base fractures. The trauma occasioned pseudoaneurysm (PSA) from intracavernous C4 segment of left internal carotid artery (ICA) protruding in the sphenoidal sinus. After two months, two episodes of massive epistaxis occurred. Consequently, the post-traumatic PSA was treated, after carotid occlusion test, with flow-diverter stent positioning. A computed tomography angiography study performed in the following days showed complete resolution of the post-traumatic PSA lesion and ICA patency.

Lecture Notes in Computational Vision and Biomechanics, 2015

Fundamentals, Methods and Applications, 2012

Medical Imaging 2012: Image Processing, 2012

ABSTRACT In this work a fully automatic algorithm to detect brain tumors by using symmetry analys... more ABSTRACT In this work a fully automatic algorithm to detect brain tumors by using symmetry analysis is proposed. In recent years a great effort of the research in field of medical imaging was focused on brain tumors segmentation. The quantitative analysis of MRI brain tumor allows to obtain useful key indicators of disease progression. The complex problem of segmenting tumor in MRI can be successfully addressed by considering modular and multi-step approaches mimicking the human visual inspection process. The tumor detection is often an essential preliminary phase to solvethe segmentation problem successfully. In visual analysis of the MRI, the first step of the experts cognitive process, is the detection of an anomaly respect the normal tissue, whatever its nature. An healthy brain has a strong sagittal symmetry, that is weakened by the presence of tumor. The comparison between the healthy and ill hemisphere, considering that tumors are generally not symmetrically placed in both hemispheres, was used to detect the anomaly. A clustering method based on energy minimization through Graph-Cut is applied on the volume computed as a difference between the left hemisphere and the right hemisphere mirrored across the symmetry plane. Differential analysis involves the loss the knowledge of the tumor side. Through an histogram analysis the ill hemisphere is recognized. Many experiments are performed to assess the performance of the detection strategy on MRI volumes in presence of tumors varied in terms of shapes positions and intensity levels. The experiments showed good results also in complex situations.

Interventional Neuroradiology, 2014

The use of flow-diverter (FD) stents in recent years has positively changed the therapeutic appro... more The use of flow-diverter (FD) stents in recent years has positively changed the therapeutic approach to some vascular diseases, especially of certain types of aneurysms. This paper describes the case of a young patient after a major head trauma causing multiple skull fractures. The trauma occasioned two pseudoaneurysms from the A1 segment of the right anterior cerebral artery and from the A2 segment of the left anterior cerebral artery. Both lesions were treated with two Pipeline devices (ev3, Irvine, CA, USA) in two different sessions. The CT study and angiographic investigations performed in the following month showed a complete resolution of the post-traumatic pseudoaneurysmal lesions. Although the use of FD stents is described in the literature, particularly in the treatment of selected aneurysms, this paper shows good technical results in the use of these stents in cases of intracranial post-traumatic pseudoaneurysms with clinical improvement.

The Neuroradiology Journal, Dec 20, 2013

Lhermitte-Duclos disease is a rare pathologic condition consisting of a dysplastic gangliocytoma ... more Lhermitte-Duclos disease is a rare pathologic condition consisting of a dysplastic gangliocytoma of the cerebellum. Its association with phacomatosis and an autosomal dominant neoplastic syndrome, Cowden's syndrome is also known. Modern neuroimaging contributes to a correct diagnosis and pre- and postoperative evaluation. Here we describe the morphologic and metabolic aspects of the disease as shown by conventional MRI, diffusion imaging and spectroscopy in a 31-year-old woman. In addition, the specific neuroradiologic characteristics are presented and discussed in the light of the main pathologic and clinical features, such as hypertrophy of the cerebellar folia associated with white matter atrophy.

The Surgery Journal, 2016

Robust MRI brain segmentation is an hard task, especially in presence of tumor that affects the n... more Robust MRI brain segmentation is an hard task, especially in presence of tumor that affects the normal brain tissue texture and intensity features. Brain tumors can take various shapes, positions and intensity levels. Brain segmentation is an essential preprocessing task to develop a good tumor detection and segmentation algorithm. In this paper we propose a new 2D brain segmentation algorithm that uses graph searching principles. The aim of our work is to translate the segmentation problem in a constrained optimization easily solvable with a graph. To achieve this goal the brain boundary must be described by a feasible function and a set of constraints easily describable through the connections of a graph. our strategy includes a preprocessing phase that "unwrups" the image in polar coordinates in such away that the brain boundary is a feasible function that can be found looking for the minimal path of a weighted graph. The brain segmentation algorithm proposed in this pa...

Interventional Neuroradiology, 2015

This paper is a case report of a young patient after a major head trauma causing multiple skull b... more This paper is a case report of a young patient after a major head trauma causing multiple skull base fractures. The trauma occasioned pseudoaneurysm (PSA) from intracavernous C4 segment of left internal carotid artery (ICA) protruding in the sphenoidal sinus. After two months, two episodes of massive epistaxis occurred. Consequently, the post-traumatic PSA was treated, after carotid occlusion test, with flow-diverter stent positioning. A computed tomography angiography study performed in the following days showed complete resolution of the post-traumatic PSA lesion and ICA patency.

Lecture Notes in Computational Vision and Biomechanics, 2015

Fundamentals, Methods and Applications, 2012

Medical Imaging 2012: Image Processing, 2012

ABSTRACT In this work a fully automatic algorithm to detect brain tumors by using symmetry analys... more ABSTRACT In this work a fully automatic algorithm to detect brain tumors by using symmetry analysis is proposed. In recent years a great effort of the research in field of medical imaging was focused on brain tumors segmentation. The quantitative analysis of MRI brain tumor allows to obtain useful key indicators of disease progression. The complex problem of segmenting tumor in MRI can be successfully addressed by considering modular and multi-step approaches mimicking the human visual inspection process. The tumor detection is often an essential preliminary phase to solvethe segmentation problem successfully. In visual analysis of the MRI, the first step of the experts cognitive process, is the detection of an anomaly respect the normal tissue, whatever its nature. An healthy brain has a strong sagittal symmetry, that is weakened by the presence of tumor. The comparison between the healthy and ill hemisphere, considering that tumors are generally not symmetrically placed in both hemispheres, was used to detect the anomaly. A clustering method based on energy minimization through Graph-Cut is applied on the volume computed as a difference between the left hemisphere and the right hemisphere mirrored across the symmetry plane. Differential analysis involves the loss the knowledge of the tumor side. Through an histogram analysis the ill hemisphere is recognized. Many experiments are performed to assess the performance of the detection strategy on MRI volumes in presence of tumors varied in terms of shapes positions and intensity levels. The experiments showed good results also in complex situations.

Interventional Neuroradiology, 2014

The use of flow-diverter (FD) stents in recent years has positively changed the therapeutic appro... more The use of flow-diverter (FD) stents in recent years has positively changed the therapeutic approach to some vascular diseases, especially of certain types of aneurysms. This paper describes the case of a young patient after a major head trauma causing multiple skull fractures. The trauma occasioned two pseudoaneurysms from the A1 segment of the right anterior cerebral artery and from the A2 segment of the left anterior cerebral artery. Both lesions were treated with two Pipeline devices (ev3, Irvine, CA, USA) in two different sessions. The CT study and angiographic investigations performed in the following month showed a complete resolution of the post-traumatic pseudoaneurysmal lesions. Although the use of FD stents is described in the literature, particularly in the treatment of selected aneurysms, this paper shows good technical results in the use of these stents in cases of intracranial post-traumatic pseudoaneurysms with clinical improvement.

The Neuroradiology Journal, Dec 20, 2013

Lhermitte-Duclos disease is a rare pathologic condition consisting of a dysplastic gangliocytoma ... more Lhermitte-Duclos disease is a rare pathologic condition consisting of a dysplastic gangliocytoma of the cerebellum. Its association with phacomatosis and an autosomal dominant neoplastic syndrome, Cowden's syndrome is also known. Modern neuroimaging contributes to a correct diagnosis and pre- and postoperative evaluation. Here we describe the morphologic and metabolic aspects of the disease as shown by conventional MRI, diffusion imaging and spectroscopy in a 31-year-old woman. In addition, the specific neuroradiologic characteristics are presented and discussed in the light of the main pathologic and clinical features, such as hypertrophy of the cerebellar folia associated with white matter atrophy.